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Noriyuki Kadoya

Section

Tohoku University Hospital

Job title

Assistant Professor

Degree

博士（医療技術学）（名古屋大学）
修士（医療技術学）（名古屋大学）

researchmap

https://researchmap.jp/7000006891

J-GLOBAL ID

201401049028283773

Research History 5

2020/04 - Present

東北大学病院放射線治療科病院講師
2011/01 - Present

Department of Radiation Oncology,Tohoku University　Assistant professor
2013/03 - 2013/08

Department of Radiation Oncology, University of California Davis　Visiting Assistant Professor
2012/10 - 2013/02

Department of Radiation Oncology, Stanford University　Visiting researcher
2007/04 - 2010/12

Southern TOHOKU Proton Therapy Center

Education 3

Nagoya University　Graduate School, Division of Medical Sciences　医用量子科学専攻

- 2011/03/31
Nagoya University　Graduate School, Division of Medical Sciences　医用量子科学専攻

- 2007/03
Nagoya University　Faculty of Medicine　保健学科放射線技術科学専攻

- 2005/03

Committee Memberships 8

日本医学物理士認定機構　広報委員

2021/04 - Present
Japan Society of Medical Physics　Board Members

2020/04 - Present
日本医学物理士認定機構　渉外委員

2016/04 - Present
日本医学物理士会　評議員

2015/04 - Present
日本医学物理学会　代議員

2013/10 - Present
日本医学物理士認定機構　教育コース認定委員

2012/04 - Present
臨床医学物理研究会　世話人

2010/04 - Present
日本医学物理士認定機構　医学物理士有り方委員

2017/04 - 2021/03

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Professional Memberships 7

東北医学物理研究会(2011/07- 世話人)
臨床医学物理研究会(2006/04- 世話人)
日本医学物理士会(2011/04- 世話人)
日本医学放射線学会(2006/04-)
日本放射線技術学会(2006/04-)
日本放射線腫瘍学会(2004/04-)
日本医学物理学会(2011/04- 認定委員, 2013/10-代議員)

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Research Interests 11

MR-Linac
machine learning
deep learning
3D printer
Radiomics
Artificial intelligence
ventilation
4D-CT
deformable image registration
medical physics
Radiotherapy

Research Areas 1

Life sciences / Radiology / Radiation therapy

Awards 15

大会長賞銅賞 (共著）

2022/09　第124回日本医学物理学会学術大会
Best Reviewer Award 2021

2021/11　JASTRO (Japanese Society for Radiation Oncology)
Best publication award 2020 (corresponding author)

2021/09　Asia-Oceania Federation of Organizations for Medical Physics
Most Citation Award (Corresponding author)

2021/02　Radiological Physics and Technology
Best Reviewer Award 2020

2020/10　JASTRO (Japanese Society for Radiation Oncology)
Best paper award

2020/05　Radiological physics and technology
優秀査読賞

2018/10　日本放射線腫瘍学会第31回学術大会
Highly cited award

2018/10　日本放射線腫瘍学会第31回学術大会
Bronze prize, The 26th Scientific Meeting of Japanese Society for Therapeutic Radiotheapy and Oncology

2013/10　日本放射線腫瘍学会
Poster Awards, The 104st Scientific Meeting of Japan Society of Medical Physics

2012/09　日本医学物理学会
Poster award (jointly authored with Y. Katsuta), The 31st Sapporo International Cancer Symposium (Corresponding Author)

2012/07　札幌国際がんシンポジウム
Poster award (jointly authored with Y. Onozato), The 31st Sapporo International Cancer Symposium (Corresponding Author)

2012/07　札幌国際がんシンポジウム
Young Researcher's Award, Nagoya University

2008/04　名古屋大学
Best poster award, The 92st Scientific Meeting of Japan Society of Medical Physics

2006/09　日本医学物理学会
優秀査読者賞

日本放射線腫瘍学会第31回学術大会

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Papers 239

Efficacy and safety of diffusing alpha-emitter radiation therapy (DaRT) for head and neck cancer recurrence after radiotherapy.

Ryo-Ichi Yoshimura, Kazuma Toda, Hiroshi Watanabe, Masahiko Miura, Ryoichi Notake, Naoya Murakami, Hiroshi Igaki, Satoshi Nakamura, Rei Umezawa, Noriyuki Kadoya, Keiichi Jingu, Jun Itami

International journal of clinical oncology　2025/02/19

DOI： 10.1007/s10147-025-02720-6 　

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BACKGROUND: To evaluate the efficacy and safety of diffusing alpha-emitter radiation therapy (DaRT) for recurrent head and neck cancer (rHNC) after radiotherapy. METHODS: This study was a multicenter prospective clinical trial. Eligibility criteria included all patients with biopsy-proven rHNC and history of radiotherapy. The efficacy of DaRT was evaluated in terms of tumor shrinkage after 10 weeks of DaRT seed implantation. To assess safety of DaRT, radioactivity levels in blood and urine were measured, and incidence and grade of adverse events (AEs) were evaluated. RESULTS: Between 2019 and 2021, DaRT was performed in 11 patients and completed in 10 patients with 11 tumors. The tumor sites included the tongue (n = 3), buccal mucosa (2), lips (2), floor of the mouth (1), soft palate (1), nose (1), and subcutaneous layer (1). Nine tumors were confirmed to be squamous cell carcinoma, and the remaining two tumors were basal cell carcinoma and neuroblastoma. Complete response (CR) and partial response (PR) were observed in three and six patients, respectively. The response rate was 81.8%. The maximum average radioactivity levels in blood and urine were 42.5 Bq/cm3 and 8.4 Bq/cm3, respectively, on the second day after implantation. Forty AEs were observed in all 11 patients, including 22 Grade 1 AEs, 16 Grade 2, and 2 Grade 3 (hypertension and seed remnants). CONCLUSION: The initial response of rHNC after radiotherapy to DaRT was favorable, and the incidence and grade of AEs were acceptable, as compared to existing therapies.
Radiomics and dosiomics approaches to estimate lung function after stereotactic body radiation therapy in patients with lung tumors.

Yoshiro Ieko, Noriyuki Kadoya, Shohei Tanaka, Koyo Kikuchi, Takaya Yamamoto, Hisanori Ariga, Keiichi Jingu

Radiological physics and technology　2025/01/14

DOI： 10.1007/s12194-024-00877-9 　

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Lung function assessment is essential for determining the optimal treatment strategy for radiation therapy in patients with lung tumors. This study aimed to develop radiomics and dosiomics approaches to estimate pulmonary function test (PFT) results in post-stereotactic body radiation therapy (SBRT). Sixty-four patients with lung tumors who underwent SBRT were included. Models were created to estimate the PFT results at 0-6 months (Cohort 1) and 6-24 months (Cohort 2) after SBRT. Radiomics and dosiomics features were extracted from the computed tomography (CT) images and dose distributions, respectively. To estimate the PFT results, Models A (dose-volume histogram [DVH] + radiomics features) and B (DVH + radiomics + dosiomics features) were created. In the PFT results, the forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) were estimated using each model, and the ratio of FEV1 to FVC (FEV1/FVC) was calculated. The Pearson's correlation coefficient (Pearson r) and area under the curve (AUC) for FEV1/FVC (< 70%) were calculated. The models were evaluated by comparing them with the conventional calculation formulae (Conventional). The Pearson r (FEV1/FVC) values were 0.30, 0.64, and 0.69 for Conventional and Models A and B (Cohort 2), respectively, and the AUC (FEV1/FVC < 70%) values were 0.63, 0.80, and 0.78, respectively. This study demonstrates the possibility of estimating lung function after SBRT using radiomics and dosiomics features based on planning CT images and dose distributions.
Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours

Masahide Saito, Noriyuki Kadoya, Yuto Kimura, Hikaru Nemoto, Ryota Tozuka, Keiichi Jingu, Hiroshi Onishi

Journal of Applied Clinical Medical Physics　2024/09/16
Publisher: Wiley
DOI： 10.1002/acm2.14519 　

ISSN： 1526-9914

eISSN： 1526-9914

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Abstract Purpose This study evaluates deep learning (DL) based dose prediction methods in head and neck cancer (HNC) patients using two types of input contours. Materials and methods Seventy‐five HNC patients undergoing two‐step volumetric‐modulated arc therapy were included. Dose prediction was performed using the AIVOT prototype (AiRato.Inc, Sendai, Japan), a commercial software with an HD U‐net‐based dose distribution prediction system. Models were developed for the initial plan (46 Gy/23Fr) and boost plan (24 Gy/12Fr), trained with 65 cases and tested with 10 cases. The 8‐channel model used one target (PTV) and seven organs at risk (OARs), while the 10‐channel model added two dummy contours (PTV ring and spinal cord PRV). Predicted and deliverable doses, obtained through dose mimicking on another radiation treatment planning system, were evaluated using dose‐volume indices for PTV and OARs. Results For the initial plan, both models achieved approximately 2% prediction accuracy for the target dose and maintained accuracy within 3.2 Gy for OARs. The 10‐channel model outperformed the 8‐channel model for certain dose indices. For the boost plan, both models exhibited prediction accuracies of approximately 2% for the target dose and 1 Gy for OARs. The 10‐channel model showed significantly closer predictions to the ground truth for D50% and Dmean. Deliverable plans based on prediction doses showed little significant difference compared to the ground truth, especially for the boost plan. Conclusion DL‐based dose prediction using the AIVOT prototype software in HNC patients yielded promising results. While additional contours may enhance prediction accuracy, their impact on dose mimicking is relatively small.
Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam.

Noriyuki Kadoya, Kazuhiro Arai, Shohei Tanaka, Yuto Kimura, Ryota Tozuka, Keisuke Yasui, Naoki Hayashi, Yoshiyuki Katsuta, Haruna Takahashi, Koki Inoue, Keiichi Jingu

Radiological physics and technology　2024/09/10

DOI： 10.1007/s12194-024-00838-2 　

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This study aimed to evaluate the performance for answering the Japanese medical physicist examination and providing the benchmark of knowledge about medical physics in language-generative AI with large language model. We used questions from Japan's 2018, 2019, 2020, 2021 and 2022 medical physicist board examinations, which covered various question types, including multiple-choice questions, and mainly focused on general medicine and medical physics. ChatGPT-3.5 and ChatGPT-4.0 (OpenAI) were used. We compared the AI-based answers with the correct ones. The average accuracy rates were 42.2 ± 2.5% (ChatGPT-3.5) and 72.7 ± 2.6% (ChatGPT-4), showing that ChatGPT-4 was more accurate than ChatGPT-3.5 [all categories (except for radiation-related laws and recommendations/medical ethics): p value < 0.05]. Even with the ChatGPT model with higher accuracy, the accuracy rates were less than 60% in two categories; radiation metrology (55.6%), and radiation-related laws and recommendations/medical ethics (40.0%). These data provide the benchmark for knowledge about medical physics in ChatGPT and can be utilized as basic data for the development of various medical physics tools using ChatGPT (e.g., radiation therapy support tools with Japanese input).
Development of deep learning-based novel auto-segmentation for the prostatic urethra on planning CT images for prostate cancer radiotherapy.

Hisamichi Takagi, Ken Takeda, Noriyuki Kadoya, Koki Inoue, Shiki Endo, Noriyoshi Takahashi, Takaya Yamamoto, Rei Umezawa, Keiichi Jingu

Radiological physics and technology　2024/08/14

DOI： 10.1007/s12194-024-00832-8 　

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Urinary toxicities are one of the serious complications of radiotherapy for prostate cancer, and dose-volume histogram of prostatic urethra has been associated with such toxicities in previous reports. Previous research has focused on estimating the prostatic urethra, which is difficult to delineate in CT images; however, these studies, which are limited in number, mainly focused on cases undergoing brachytherapy uses low-dose-rate sources and do not involve external beam radiation therapy (EBRT). In this study, we aimed to develop a deep learning-based method of determining the position of the prostatic urethra in patients eligible for EBRT. We used contour data from 430 patients with localized prostate cancer. In all cases, a urethral catheter was placed when planning CT to identify the prostatic urethra. We used 2D and 3D U-Net segmentation models. The input images included the bladder and prostate, while the output images focused on the prostatic urethra. The 2D model determined the prostate's position based on results from both coronal and sagittal directions. Evaluation metrics included the average distance between centerlines. The average centerline distances for the 2D and 3D models were 2.07 ± 0.87 mm and 2.05 ± 0.92 mm, respectively. Increasing the number of cases while maintaining equivalent accuracy as we did in this study suggests the potential for high generalization performance and the feasibility of using deep learning technology for estimating the position of the prostatic urethra.
Multi-institutional questionnaire-based survey on online adaptive radiotherapy performed using commercial systems in Japan in 2023.

Hiraku Iramina, Masato Tsuneda, Hiroyuki Okamoto, Noriyuki Kadoya, Nobutaka Mukumoto, Masahiko Toyota, Junichi Fukunaga, Yukio Fujita, Naoki Tohyama, Hiroshi Onishi, Mitsuhiro Nakamura

Radiological physics and technology　2024/07/19

DOI： 10.1007/s12194-024-00828-4 　

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In this study, we aimed to conduct a survey on the current clinical practice of, staffing for, commissioning of, and staff training for online adaptive radiotherapy (oART) in the institutions that installed commercial oART systems in Japan, and to share the information with institutions that will implement oART systems in future. A web-based questionnaire, containing 107 questions, was distributed to nine institutions in Japan. Data were collected from November to December 2023. Three institutions each with the MRIdian (ViewRay, Oakwood Village, OH, USA), Unity (Elekta AB, Stockholm, Sweden), and Ethos (Varian Medical Systems, Palo Alto, CA, USA) systems completed the questionnaire. One institution (MRIdian) had not performed oART by the response deadline. Each institution had installed only one oART system. Hypofractionation, and moderate hypofractionation or conventional fractionation were employed in the MRIdian/Unity and Ethos systems, respectively. The elapsed time for the oART process was faster with the Ethos than with the other systems. All institutions added additional staff for oART. Commissioning periods differed among the oART systems owing to provision of beam data from the vendors. Chambers used during commissioning measurements differed among the institutions. Institutional training was provided by all nine institutions. To the best of our knowledge, this was the first survey about oART performed using commercial systems in Japan. We believe that this study will provide useful information to institutions that installed, are installing, or are planning to install oART systems.
Beginning of clinical treatment using the 1.5 Tesla MR-Linac system in Japan: a narrative review. International-journal

Noriyoshi Takahashi, Shohei Tanaka, Rei Umezawa, Takaya Yamamoto, Yu Suzuki, Keita Kishida, So Omata, Kazuhiro Arai, Yoshiyuki Katsuta, Noriyuki Kadoya, Keiichi Jingu

Translational cancer research　13　(2)　1131-1138　2024/02/29

DOI： 10.21037/tcr-23-1649 　

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BACKGROUND AND OBJECTIVE: In the field of radiation therapy, image-guided radiotherapy (IGRT) technology has been gradually improving and highly accurate radiation treatment has been possible. Research on IGRT using 1.5 Tesla magnetic resonance imaging (MRI) began in 1999, and a radiation therapy device called 1.5 Tesla magnetic resonance linear accelerator (MR-Linac), which combines a linear accelerator with 1.5 Tesla MRI, was developed in Europe. The aim of this review is to present an overview of 1.5 Tesla MR-Linac with a review of the literature and our experience. METHODS: Reports related to 1.5 Tesla MR-Linac were searched for in PubMed and are discussed in relation to our experience. KEY CONTENT AND FINDINGS: The 1.5 Tesla MR-Linac enables IGRT using 1.5 Tesla MRI, further enhancing the precision of radiation therapy. Position verification by cone-beam computed tomography (CBCT) is performed in many institutions, but soft tissue contrast is often unclear in CBCT images of the abdomen and mediastinal organs. Since the 1.5 Tesla MR-Linac allows position verification using MRI, position verification can be performed using clear MRI even in regions where CBCT is unclear. With the 1.5 Tesla MR-Linac, it is possible to perform online adaptive radiotherapy (ART) using 1.5 Tesla MRI. Online ART is a method in which images are acquired while the patient is on the treatment table. The method is based on the current condition of the organs in the body on that day and an optimal treatment field is recreated. Additionally, it allows monitoring of tumor motion using cine images obtained by 1.5 Tesla MRI during the delivery of X-ray radiation. A previous report showed that patients with prostate cancer who received radiotherapy by MR-Linac had fewer side effects than those in patients who received conventional CBCT radiation therapy. CONCLUSIONS: The 1.5 Tesla MR-Linac obtained CE-mark certification in Europe in August 2018 and it has been used for clinical treatment. In Japan, clinical treatment using this device started in 2021. By using 1.5 Tesla MR-Linac, patients can be provided with higher precision radiotherapy. In this review, we provide an overview of 1.5 Tesla MR-Linac.
Investigation of intrafractional spinal cord and spinal canal movement during stereotactic MR-guided online adaptive radiotherapy for kidney cancer. International-journal

Takaya Yamamoto, Shohei Tanaka, Noriyoshi Takahashi, Rei Umezawa, Yu Suzuki, Keita Kishida, So Omata, Kazuya Takeda, Hinako Harada, Kiyokazu Sato, Yoshiyuki Katsuta, Noriyuki Kadoya, Keiichi Jingu

PloS one　19　(10)　e0312032　2024

DOI： 10.1371/journal.pone.0312032 　

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BACKGROUND AND PURPOSE: This study aimed to investigate the intrafractional movement of the spinal cord and spinal canal during MR-guided online adaptive radiotherapy (MRgART) for kidney cancer. MATERIALS AND METHODS: All patients who received stereotactic MRgART for kidney cancer between February 2022 and February 2024 were included in this study. Patients received 30-42 Gy in 3-fraction MRgART for kidney cancer using the Elekta Unity, which is equipped with a linear accelerator and a 1.5 Tesla MRI. MRI scans were performed at three points during each fraction: for online planning, position verification, and posttreatment assessment. The spinal cord was contoured from the upper edge of Th12 to the medullary cone, and the spinal canal was contoured from Th12 to L3, using the first MRI. These contours were adjusted to the second and third MR images via deformable image registration, and movements were measured. Margins were determined via the formula "1.3×Σ+0.5×σ" and 95% prediction intervals. RESULTS: A total of 22 patients (66 fractions) were analyzed. The median interval between the first and third MRI scans were 38 minutes. The mean ± standard deviation of the spinal cord movements after this interval were -0.01 ± 0.06 for the x-axis (right-left), 0.01 ± 0.14 for the y-axis (caudal-cranial), 0.07 ± 0.05 for the z-axis (posterior-anterior), and 0.15 ± 0.08 for the 3D distance, respectively. The correlation coefficients of the 3D distance between the spinal cord and the spinal canal was high (0.92). The calculated planning organ at risk volume margin for all directions was 0.11 cm for spinal cord. The 95% prediction intervals for the x-axis, y-axis, and z-axis were -0.11-0.09 cm, -0.23-0.25 cm and -0.14-0.03 cm, respectively. CONCLUSIONS: Margins are necessary in MRgART to compensate for intrafractional movement and ensure safe treatment delivery.
VMAT with DIBH in hypofractionated radiotherapy for left-sided breast cancer after breast-conserving surgery: results of a non-inferiority clinical study. International-journal

Keiichi Jingu, Kengo Ito, Kiyokazu Sato, Rei Umezawa, Takaya Yamamoto, Noriyoshi Takahashi, Yu Suzuki, Keita Kishida, So Omata, Hinako Harada, Yasuhiro Seki, Nanae Chiba, Noriyuki Kadoya

Journal of radiation research　2023/12/12

DOI： 10.1093/jrr/rrad096 　

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The purpose of this study was to show the safety of volumetric modulated arc therapy (VMAT) with deep inspiration breath-hold (DIBH) in hypofractionated radiotherapy for left-sided breast cancer after breast-conserving surgery in a clinical setting. Twenty-five Japanese women, aged 20-59 years, who were enrolled in this prospective non-inferiority study received VMAT under the condition of DIBH with 42.4 Gy/16 fractions for whole-breast irradiation (WBI) ± boost irradiation for the tumor bed to show the non-inferiority of VMAT with DIBH to conventional fractionated WBI with free breathing. The primary endpoint was the rate of occurrence of radiation dermatitis of Grade 3 or higher or pneumonitis of Grade 2 or higher within 6 months after the start of radiotherapy. This study was registered with UMIN00004321. All of the enrolled patients completed the planned radiotherapy without interruption. The evaluation of adverse events showed that three patients (12.0%) had Grade 2 radiation dermatitis. There was no other Grade 2 adverse event and there was no patient with an adverse event of Grade 3 or higher. Those results confirmed our hypothesis that the experimental treatment method is non-inferior compared with our historical results. There was no patient with locoregional recurrence or metastases. In conclusion, VMAT under the condition of DIBH in hypofractionated radiotherapy for left-sided breast cancer after breast-conserving surgery can be performed safely in a clinical setting.
【IGRT今後の展開】エレクタUnityの装置導入と1年半の臨床経験

角谷倫之, 田中祥平, 佐藤清和, 新井一弘, 高橋紀善, 梅澤玲, 神宮啓一

Rad Fan　21　(13)　48-52　2023/11
Publisher: (株)メディカルアイ
ISSN： 1348-3498
1.5T MR-linacにおける深層学習を使用した新たな患者QAシステムの開発

戸塚凌太, 角谷倫之, 新井一弘, 佐藤清和, 神宮啓一

日本放射線技術学会雑誌　79　(9)　1021-1022　2023/09
Publisher: (公社)日本放射線技術学会
ISSN： 0369-4305

eISSN： 1881-4883
Evaluation of deep learning-based deliverable VMAT plan generated by prototype software for automated planning for prostate cancer patients. International-journal

Noriyuki Kadoya, Yuto Kimura, Ryota Tozuka, Shohei Tanaka, Kazuhiro Arai, Yoshiyuki Katsuta, Hidetoshi Shimizu, Yuto Sugai, Takaya Yamamoto, Rei Umezawa, Keiichi Jingu

Journal of radiation research　64　(5)　842-849　2023/08/22

DOI： 10.1093/jrr/rrad058 　

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This study aims to evaluate the dosimetric accuracy of a deep learning (DL)-based deliverable volumetric arc radiation therapy (VMAT) plan generated using DL-based automated planning assistant system (AIVOT, prototype version) for patients with prostate cancer. The VMAT data (cliDose) of 68 patients with prostate cancer treated with VMAT treatment (70-74 Gy/28-37 fr) at our hospital were used (n = 55 for training and n = 13 for testing). First, a HD-U-net-based 3D dose prediction model implemented in AIVOT was customized using the VMAT data. Thus, a predictive VMAT plan (preDose) comprising AIVOT that predicted the 3D doses was generated. Second, deliverable VMAT plans (deliDose) were created using AIVOT, the radiation treatment planning system Eclipse (version 15.6) and its vender-supplied objective functions. Finally, we compared these two estimated DL-based VMAT treatment plans-i.e. preDose and deliDose-with cliDose. The average absolute dose difference of all DVH parameters for the target tissue between cliDose and deliDose across all patients was 1.32 ± 1.35% (range: 0.04-6.21%), while that for all the organs at risks was 2.08 ± 2.79% (range: 0.00-15.4%). The deliDose was superior to the cliDose in all DVH parameters for bladder and rectum. The blinded plan scoring of deliDose and cliDose was 4.54 ± 0.50 and 5.0 ± 0.0, respectively (All plans scored ≥4 points, P = 0.03.) This study demonstrated that DL-based deliverable plan for prostate cancer achieved the clinically acceptable level. Thus, the AIVOT software exhibited a potential for automated planning with no intervention for patients with prostate cancer.
Evaluation of Unity 1.5 T MR-linac plan quality in patients with prostate cancer. International-journal

Shohei Tanaka, Noriyuki Kadoya, Miyu Ishizawa, Yoshiyuki Katsuta, Kazuhiro Arai, Haruna Takahashi, Yushan Xiao, Noriyoshi Takahashi, Kiyokazu Sato, Ken Takeda, Keiichi Jingu

Journal of applied clinical medical physics　e14122　2023/08/10

DOI： 10.1002/acm2.14122 　

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The Unity magnetic resonance (MR) linear accelerator (MRL) with MR-guided adaptive radiotherapy (MRgART) is capable of online MRgART where images are acquired on the treatment day and the radiation treatment plan is immediately replanned and performed. We evaluated the MRgART plan quality and plan reproducibility of the Unity MRL in patients with prostate cancer. There were five low- or moderate-risk and five high-risk patients who received 36.25 Gy or 40 Gy, respectively in five fractions. All patients underwent simulation magnetic resonance imaging (MRI) and five online adaptive MRI. We created plans for 5, 7, 9, 16, and 20 beams and for 60, 100, and 150 segments. We evaluated the target and organ doses for different number of beams and segments, respectively. Variation in dose constraint between the simulation plan and online adaptive plan was measured for each patient to assess plan reproducibility. The plan quality improved with the increasing number of beams. However, the proportion of significantly improved dose constraints decreased as the number of beams increased. For some dose parameters, there were statistically significant differences between 60 and 100 segments, and 100 and 150 segments. The plan of five beams exhibited limited reproducibility. The number of segments had minimal impact on plan reproducibility, but 60 segments sometimes failed to meet dose constraints for online adaptive plan. The optimization and delivery time increased with the number of beams and segments. We do not recommend using five or fewer beams for a reproducible and high-quality plan in the Unity MRL. In addition, many number of segments and beams may help meet dose constraints during online adaptive plan. Treatment with the Unity MRL should be performed with the appropriate number of beams and segments to achieve a good balance among plan quality, delivery time, and optimization time.
Evaluation of the MVCT-based radiomic features as prognostic factor in patients with head and neck squamous cell carcinoma. International-journal

Kota Abe, Noriyuki Kadoya, Kei Ito, Shohei Tanaka, Yujiro Nakajima, Shimpei Hashimoto, Yuhi Suda, Takashi Uno, Keiichi Jingu

BMC medical imaging　23　(1)　102-102　2023/08/01

DOI： 10.1186/s12880-023-01055-w 　

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BACKGROUND: Megavoltage computed tomography (MVCT) images acquired during each radiotherapy session may be useful for delta radiomics. However, no studies have examined whether the MVCT-based radiomics has prognostic power. Therefore, the purpose of this study was to examine the prognostic power of the MVCT-based radiomics for head and neck squamous cell carcinoma (HNSCC) patients. METHODS: 100 HNSCC patients who received definitive radiotherapy were analyzed and divided into two groups: training (n = 70) and test (n = 30) sets. MVCT images obtained using TomoTherapy for the first fraction of radiotherapy and planning kilovoltage CT (kVCT) images obtained using Aquilion LB CT scanner were analyzed. Primary gross tumor volume (GTV) was propagated from kVCT to MVCT images using rigid registration, and 107 radiomic features were extracted from the GTV in MVCT and kVCT images. Least absolute shrinkage and selection operator (LASSO) Cox regression model was used to examine the association between overall survival (OS) and rad score calculated for each patient by weighting the feature value through the coefficient when features were selected. Then, the predictive values of MVCT-based and kVCT-based rad score and patient-, treatment-, and tumor-specific factors were evaluated. RESULTS: C-indices of the rad score for MVCT- and kVCT-based radiomics were 0.667 and 0.685, respectively. The C-indices of 6 clinical factors were 0.538-0.622. The 3-year OS was significantly different between high- and low-risk groups according to the MVCT-based rad score (50% vs. 83%; p < 0.01). CONCLUSIONS: Our results suggested that MVCT-based radiomics had stronger prognostic power than any single clinical factor and was a useful prognostic factor when predicting OS in HNSCC patients.
Development of a prediction model for head and neck volume reduction by clinical factors, dose-volume histogram parameters and radiomics in head and neck cancer Peer-reviewed

Ishizawa M, Tanaka S, Takagi H, Kadoya N, Sato K, Umezawa R, Jingu K, Takeda K

J Radiat Res　2023/07/18

DOI： 10.1093/jrr/rrad052 　
Clinical impact of radiation-induced myocardial damage detected by cardiac magnetic resonance imaging and dose-volume histogram parameters of the left ventricle as prognostic factors of cardiac events after chemoradiotherapy for esophageal cancer. International-journal

Rei Umezawa, Hideki Ota, Hidenobu Takagi, Noriyuki Kadoya, Yujiro Nakajima, Noriyoshi Takahashi, Takaya Yamamoto, Kei Takase, Keiichi Jingu

Journal of radiation research　64　(4)　702-710　2023/06/12

DOI： 10.1093/jrr/rrad040 　

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This prospective study aimed to evaluate whether radiation (RT)-induced myocardial damage by cardiac magnetic resonance (CMR) imaging could be a predictor of cardiac events after chemoradiotherapy (CRT) for esophageal cancer and determine the dose-volume histogram (DVH) parameters of the left ventricle (LV) in predicting cardiac events. CMR imaging was performed before and 6 months after CRT in patients receiving definitive CRT. RT-induced myocardial damage was defined as abnormal CMR findings indicating myocardial fibrosis corresponding to an isodose line of ≥30 Gy. The cutoff values of the LV DVH parameters were calculated using the receiver operating characteristic curve based on the presence of RT-induced myocardial damage. The prognostic factors related to cardiac events of Grade 3 or higher were examined. Twenty-three patients were enrolled in the study. RT-induced myocardial damage by late gadolinium enhancement and/or an increase of 100 ms or higher in native T1 post-CRT was detected in 10 of the 23 patients. LV V45 was the best predictive factor for RT-induced myocardial damage with a cutoff value of 2.1% and an area under the curve of 0.75. The median follow-up period was 82.1 months. The 5- and 7-year cumulative incidences of cardiac events of Grade 3 or higher were 14.7 and 22.4%, respectively. RT-induced myocardial damage and LV V45 were significant risk factors (P = 0.015 and P = 0.013, respectively). RT-induced myocardial damage is a significant predictor of cardiac events. LV V45 is associated with RT-induced myocardial damage and subsequent cardiac events.
Improvement of deep learning prediction model in patient-specific QA for VMAT with MLC leaf position map and patient's dose distribution. International-journal

Ryota Tozuka, Noriyuki Kadoya, Seiji Tomori, Yuto Kimura, Tomohiro Kajikawa, Yuto Sugai, Yushan Xiao, Keiichi Jingu

Journal of applied clinical medical physics　e14055　2023/06/01

DOI： 10.1002/acm2.14055 　

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PURPOSE: Deep learning-based virtual patient-specific quality assurance (QA) is a novel technique that enables patient QA without measurement. However, this method could be improved by further evaluating the optimal data to be used as input. Therefore, a deep learning-based model that uses multileaf collimator (MLC) information per control point and dose distribution in patient's CT as inputs was developed. METHODS: Overall, 96 volumetric-modulated arc therapy plans generated for prostate cancer treatment were used. We developed a model (Model 1) that can predict measurement-based gamma passing rate (GPR) for a treatment plan using data stored as a map reflecting the MLC leaf position at each control point (MLPM) and data of the dose distribution in patient's CT as inputs. The evaluation of the model was based on the mean absolute error (MAE) and Pearson's correlation coefficient (r) between the measured and predicted GPR. For comparison, we also analyzed models trained with the dose distribution in patient's CT alone (Model 2) and with dose distributions recalculated on a virtual phantom CT (Model 3). RESULTS: At the 2%/2 mm criterion, MAE[%] and r for Model 1, Model 2, and Model 3 were 2.32% ± 0.43% and 0.54 ± 0.03, 2.70% ± 0.26%, and 0.32 ± 0.08, and 2.96% ± 0.23% and 0.24 ± 0.22, respectively; at the 3%/3 mm criterion, these values were 1.25% ± 0.05% and 0.36 ± 0.18, 1.57% ± 0.35% and 0.19 ± 0.20, and 1.39% ± 0.32% and 0.17 ± 0.22, respectively. This result showed that Model 1 exhibited the lowest MAE and highest r at both criteria of 2%/2 mm and 3%3 mm. CONCLUSIONS: These findings showed that a model that combines the MLPM and dose distribution in patient's CT exhibited a better GPR prediction performance compared with the other two studied models.
Cardiac impacts of postoperative radiotherapy for breast cancer in Japanese patients. International-journal

Erika Segawa, Keiichi Jingu, Rei Umezawa, Takaya Yamamoto, Noriyoshi Takahashi, Noriyuki Kadoya, Ken Takeda

Journal of radiation research　2023/03/22

DOI： 10.1093/jrr/rrad013 　

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Radiotherapy for breast cancer has attracted attention in Western countries because radiation to the heart can cause cardiac events. The purposes of this study were to evaluate the relationship between radiotherapy after breast-conserving surgery and the frequency of cardiac events in Japanese patients and to investigate the risk factors of cardiac events after postoperative radiotherapy in those patients. Female patients who received postoperative radiotherapy following breast-conserving surgery between 2007 and 2012 at our hospital were evaluated. In this study, we estimated the cumulative incidence of cardiac events including angina pectoris, myocardial infarction, ischemic heart disease, heart failure and cardiomyopathy after radiotherapy. Of 311 eligible patients, 7.1% of the patients had a smoking history, 20.3% of the patients were obese and 22.2% of the patients had hypertension. The median follow-up period was 118 months (interquartile range, 102-132 months). Twelve patients (3.9%) experienced cardiac events after treatment. The mean time to cardiac events was 126 months. The 10-year cumulative incidences of cardiac events after treatment were 4.2% and 4.3% for patients with left-sided and right-sided breast cancer, respectively, without a significant difference. Multivariate analysis showed that only hypertension was a risk factor for cardiac events (hazard ratio = 16.67, P = 0.0003). In conclusion, postoperative radiotherapy for breast cancer did not increase the incidence of cardiac events. Since at least 2007, postoperative radiotherapy for breast cancer has been safely performed without effects on the heart.
Development of a collapsed cone convolution/superposition dose calculation algorithm with a mass density-specific water kernel for magnetic resonance-guided radiotherapy

Kengo ITO, Yojiro Ishikawa, Satoshi Teramura, Noriyuki Kadoya, Yoshiyuki Katsuta, Shohei Tanaka, Ken Takeda, Keiichi Jingu, Takayuki Yamada

Journal of Radiation Research　2023/03/21
Publisher: Oxford University Press (OUP)
DOI： 10.1093/jrr/rrad011 　

ISSN： 0449-3060

eISSN： 1349-9157

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Abstract This study aimed to develop and validate a collapsed cone convolution for magnetic resonance-guided radiotherapy (CCCMR). The 3D energy deposition kernels (EDKs) were generated in water in a 1.5-T transverse magnetic field. The CCCMR corrects the inhomogeneity in simulation geometry by referring to the EDKs according to the mass density between the interaction and energy deposition points in addition to density scaling. Dose distributions in a water phantom and in slab phantoms with inserted inhomogeneities were calculated using the Monte Carlo (MC) and CCCMR. The percentage depth dose (PDD) and off-axis ratio (OAR) were compared, and the gamma passing rate (3%/2 mm) was evaluated. The CCCMR simulated asymmetric dose distributions in the simulation phantoms, especially the water phantom, and all PDD and OAR profiles were in good agreement with the findings of the MC. The gamma passing rates were &gt;99% for each field size and for the entire region. In the inhomogeneity phantoms, although the CCCMR underestimated dose in the low mass density regions, it could reconstruct dose changes at mass density boundaries. The gamma passing rate for the entire region was &gt;95% for the field size of 2 × 2 cm2, but it was 68.9–86.7% for the field sizes of ≥5 × 5 cm2. Conclusively, in water, the CCCMR can obtain dose distributions comparable to those with the MC. Although the dose differences between them were mainly in inhomogeneity regions, the possibility of the effective use of the CCCMR in small field sizes was demonstrated.
Development of Radiomics-based Deformable Image Registration Algorithm(タイトル和訳中)

Ieko Yoshiro, Kadoya Noriyuki, Ariga Hisanori

日本放射線技術学会総会学術大会予稿集　79回　311-311　2023/03
Publisher: (公社)日本放射線技術学会
ISSN： 1884-7846
Impact of CT scan parameters on deformable image registration accuracy using deformable thorax phantom

Ryutaro Ikeda, Noriyuki Kadoya, Yujiro Nakajima, Shin Ishii, Takayuki Shibu, Keiichi Jingu

Journal of Applied Clinical Medical Physics　24　(5)　2023/02/25
Publisher: Wiley
DOI： 10.1002/acm2.13917 　

ISSN： 1526-9914

eISSN： 1526-9914

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Abstract The purpose of this study was to evaluate the deformable image registration (DIR) accuracy using various CT scan parameters with deformable thorax phantom. Our developed deformable thorax phantom (Dephan, Chiyoda Technol Corp, Tokyo, Japan) was used. The phantom consists of a base phantom, an inner phantom, and a motor‐derived piston. The base phantom is an acrylic cylinder phantom with a diameter of 180 mm, which simulates the chest wall. The inner phantom consists of deformable, 20 mm thick disk‐shaped sponges with 48 Lucite beads and 48 nylon cross‐wires which simulate the vascular and bronchial bifurcations of the lung. Peak‐exhale and peak‐inhale images of the deformable phantom were acquired using a CT scanner (Aquilion LB, TOSHIBA). To evaluate the impact of CT scan parameters on DIR accuracy, we used the four tube voltages (80, 100, 120, and 135 kV) and six reconstruction algorithms (FC11, FC13, FC15, FC41, FC44, and FC52). Intensity‐based DIR was performed between the two images using MIM Maestro (MIM software, Cleveland, USA). Fiducial markers (beads and cross‐wires) based target registration error (TRE) was used for quantitative evaluation of DIR. In case with different tube voltages, the range of average TRE were 4.44–5.69 mm (reconstruction algorithm: FC13). In case with different reconstruction algorithms, the range of average TRE were 4.26–4.59 mm (tube voltage: 120 kV). The TRE were differed by up to 3.0 mm (3.96–6.96 mm) depending on the combination of tube voltage and reconstruction algorithm. Our result indicated that CT scan parameters had moderate impact of TRE, especially for reconstruction algorithms for the deformable thorax phantom.
Development and validation of an [¹⁸F]FDG-PET/CT radiomic model for predicting progression-free survival for patients with stage II – III thoracic esophageal squamous cell carcinoma who are treated with definitive chemoradiotherapy

Noriyoshi Takahashi, Shohei Tanaka, Rei Umezawa, Kentaro Takanami, Kazuya Takeda, Takaya Yamamoto, Yu Suzuki, Yoshiyuki Katsuta, Noriyuki Kadoya, Keiichi Jingu

Acta Oncologica　62　(2)　1-7　2023/02/15
Publisher: Informa UK Limited
DOI： 10.1080/0284186x.2023.2178859 　

ISSN： 0284-186X

eISSN： 1651-226X
肺定位放射線治療後の放射線肺障害の経時変化に関する検討

山本貴也, 勝田義之, 毛利詩菜, 梅澤玲, 石川陽二郎, 角谷倫之, 高橋紀善, 鈴木友, 武田一也, 岸田桂太, 神宮啓一

Japanese Journal of Radiology　41　(Suppl.)　8-8　2023/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
Dosimetric impact of deformable image registration using radiophotoluminescent glass dosimeters with a physical geometric phantom. International-journal

Siwaporn Sakulsingharoj, Noriyuki Kadoya, Shohei Tanaka, Kiyokazu Sato, Mitsuhiro Nakamura, Keiichi Jingu

Journal of applied clinical medical physics　e13890　2023/01/07

DOI： 10.1002/acm2.13890 　

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PURPOSE: To study the dosimetry impact of deformable image registration (DIR) using radiophotoluminescent glass dosimeter (RPLD) and custom developed phantom with various inserts. METHODS: The phantom was developed to facilitate simultaneous evaluation of geometric and dosimetric accuracy of DIR. Four computed tomography (CT) images of the phantom were acquired with four different configurations. Four volumetric modulated arc therapy (VMAT) plans were computed for different phantom. Two different patterns were applied to combination of four phantom configurations. RPLD dose measurement was combined between corresponding two phantom configurations. DIR-based dose accumulation was calculated between corresponding two CT images with two commercial DIR software and various DIR parameter settings, and an open source software. Accumulated dose calculated using DIR was then compared with measured dose using RPLD. RESULTS: The mean ± standard deviation (SD) of dose difference was 2.71 ± 0.23% (range, 2.22%-3.01%) for tumor-proxy and 3.74 ± 0.79% (range, 1.56%-4.83%) for rectum-proxy. The mean ± SD of target registration error (TRE) was 1.66 ± 1.36 mm (range, 0.03-4.43 mm) for tumor-proxy and 6.87 ± 5.49 mm (range, 0.54-17.47 mm) for rectum-proxy. These results suggested that DIR accuracy had wide range among DIR parameter setting. CONCLUSIONS: The dose difference observed in our study was 3% for tumor-proxy and within 5% for rectum-proxy. The custom developed physical phantom with inserts showed potential for accurate evaluation of DIR-based dose accumulation. The prospect of simultaneous evaluation of geometric and dosimetric DIR accuracy in a single phantom may be useful for validation of DIR for clinical use.
Retrospective analysis of local recurrence pattern by computed tomography image-guided intracavitary and interstitial brachytherapy for locally advanced cervical cancer in a single Japanese institution. International-journal

Rei Umezawa, Hideki Tokunaga, Takaya Yamamoto, Shogo Shigeta, Noriyoshi Takahashi, Kazuya Takeda, Yu Suzuki, Keita Kishida, Kengo Ito, Noriyuki Kadoya, Muneaki Shimada, Keiichi Jingu

Brachytherapy　22　(4)　477-486　2023

DOI： 10.1016/j.brachy.2023.04.008 　

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PURPOSE: The purpose of this study was to investigate the treatment results with focus on local control (LC) by computed tomography (CT)-guided intracavity brachytherapy and interstitial brachytherapy (ICBT/ISBT) for locally advanced cervical cancer (LACC). METHODS AND MATERIALS: Patients with LACC undergoing ICBT/ISBT at least once in our institution between January 2017 and June 2019 were analyzed retrospectively. The primary endpoint was local control (LC), and the secondary endpoints were progression-free survival (PFS), overall survival (OS), and late toxicities. Differences between patient subgroups for prognostic factors in LC, PFS, and OS were analyzed using the log-rank test. The recurrence patterns of LC were also investigated. RESULTS: Forty-four patients were included in the present study. The median high-risk clinical target volume (HR-CTV) at the initial brachytherapy was 48.2 cc. The median total dose of HR-CTV D90 (EQD2) was 70.7 Gy. The median followup period was 39.4 months. The 3-year LC, PFS and OS rates in all patients were 88.2%, 56.6%, and 65.4% (95% CI 50.3-78.0%), respectively. Corpus invasion and large HR-CTV (70 cc or more) were significant prognostic factors in LC, PFS, and OS. Marginal recurrences at the fundus of the uterus were detected in 3 of 5 patients in whom local recurrence was observed. Late toxicities of Grade 3 or higher were detected in 3 patients (6.8%). CONCLUSIONS: Favorable LC was achieved by performing CT-guided ICBT/ISBT for LACC. The brachytherapy strategy for patients with corpus invasion or large HR-CTV may need to be reconsidered.
Radiation pneumonitis prediction model with integrating multiple dose-function features on 4DCT ventilation images

Yoshiyuki Katsuta, Noriyuki Kadoya, Tomohiro Kajikawa, Shina Mouri, Tomoki Kimura, Kazuya Takeda, Takaya Yamamoto, Nobuki Imano, Shohei Tanaka, Kengo Ito, Takayuki Kanai, Yujiro Nakajima, Keiichi Jingu

Physica Medica　105　102505-102505　2023/01
Publisher: Elsevier BV
DOI： 10.1016/j.ejmp.2022.11.009 　

ISSN： 1120-1797
MR画像誘導放射線治療の日本における展望

神宮啓一, 高橋紀善, 角谷倫之

医用画像情報学会雑誌　39　(4)　68-69　2022/12
Publisher: 医用画像情報学会
ISSN： 0910-1543

eISSN： 1880-4977
MR画像誘導放射線治療の日本における展望

神宮啓一, 高橋紀善, 角谷倫之

医用画像情報学会雑誌　39　(4)　68-69　2022/12
Publisher: 医用画像情報学会
ISSN： 0910-1543

eISSN： 1880-4977
がん治療における放射線治療の最前線 MRI誘導オンライン適応放射線治療

神宮啓一, 高橋紀善, 角谷倫之

日本癌治療学会学術集会抄録集　60回　SSY8-1　2022/10
Publisher: (一社)日本癌治療学会
胸部領域における新規開発した治療計画支援ソフトウェアの非剛体レジストレーションの精度評価

高橋春奈, 角谷倫之, 勝田義之, 田中祥平, 新井一弘, 山本貴也, 梅澤玲, 神宮啓一

日本放射線技術学会雑誌　78　(10)　1187-1193　2022/10
Publisher: (公社)日本放射線技術学会
ISSN： 0369-4305

eISSN： 1881-4883
がん治療における放射線治療の最前線 MRI誘導オンライン適応放射線治療

神宮啓一, 高橋紀善, 角谷倫之

日本癌治療学会学術集会抄録集　60回　SSY8-1　2022/10
Publisher: (一社)日本癌治療学会
Practical guidelines of online MR-guided adaptive radiotherapy. International-journal

Hiroyuki Okamoto, Hiroshi Igaki, Takahito Chiba, Keiko Shibuya, Tatsuya Sakasai, Keiichi Jingu, Koji Inaba, Kagayaki Kuroda, Shigeki Aoki, Daisaku Tatsumi, Mitsuhiro Nakamura, Noriyuki Kadoya, Yoshinobu Furuyama, Yu Kumazaki, Naoki Tohyama, Masato Tsuneda, Shie Nishioka, Jun Itami, Hiroshi Onishi, Naoyuki Shigematsu, Takashi Uno

Journal of radiation research　63　(5)　730-740　2022/09/21

DOI： 10.1093/jrr/rrac048 　

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The first magnetic resonance (MR)-guided radiotherapy system in Japan was installed in May 2017. Implementation of online MR-guided adaptive radiotherapy (MRgART) began in February 2018. Online MRgART offers greater treatment accuracy owing to the high soft-tissue contrast in MR-images (MRI), compared to that in X-ray imaging. The Japanese Society for Magnetic Resonance in Medicine (JSMRM), Japan Society of Medical Physics (JSMP), Japan Radiological Society (JRS), Japanese Society of Radiological Technology (JSRT), and Japanese Society for Radiation Oncology (JASTRO) jointly established the comprehensive practical guidelines for online MRgART. These guidelines propose the essential requirements for clinical implementation of online MRgART with respect to equipment, personnel, institutional environment, practice guidance, and quality assurance/quality control (QA/QC). The minimum requirements for related equipment and QA/QC tools, recommendations for safe operation of MRI system, and the implementation system are described. The accuracy of monitor chamber and detector in dose measurements should be confirmed because of the presence of magnetic field. The ionization chamber should be MR-compatible. Non-MR-compatible devices should be used in an area that is not affected by the static magnetic field (outside the five Gauss line), and their operation should be checked to ensure that they do not affect the MR image quality. Dose verification should be performed using an independent dose verification system that has been confirmed to be reliable through commissioning. This guideline proposes the checklists to ensure the safety of online MRgART. Successful clinical implementation of online MRgART requires close collaboration between physician, radiological technologist, nurse, and medical physicist.
[Evaluation of Accuracy of Deformable Image Registration with Newly Developed Treatment Planning Support Software for Thoracic Images].

Haruna Takahashi, Noriyuki Kadoya, Yoshiyuki Katsuta, Shohei Tanaka, Kazuhiro Arai, Takaya Yamamoto, Rei Umezawa, Keiichi Jingu

Nihon Hoshasen Gijutsu Gakkai zasshi　78　(10)　1187-1193　2022/08/24

DOI： 10.6009/jjrt.2022-1308 　

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This study evaluated accuracy of deformable image registration (DIR) with twelve parameter settings for thoracic images. We used peak-inhale and peak-exhale images for ten patients provided by DIR-lab. We used a prototype version of iCView software (ITEM Corporation) with DIR to perform intensity, structure, and hybrid-based DIR with the twelve parameter settings. DIR accuracy was evaluated by a target registration error (TRE) using 300 bronchial bifurcations and the Dice similarity coefficient (DSC) of the lungs. For twelve parameter settings, TRE ranged from 2.83 mm to 5.27 mm, whereas DSC ranged from 0.96 to 0.98. These results demonstrated that DIR accuracy differed among parameter settings and show that appropriate parameter settings are required for clinical practice.
Comparison of acute gastrointestinal toxicities between 3-dimensional conformal radiotherapy and intensity-modulated radiotherapy including prophylactic regions in chemoradiotherapy with S-1 for pancreatic cancer-importance of dose volume histogram parameters in the stomach as the predictive factors. International-journal

Rei Umezawa, Kei Nakagawa, Masamichi Mizuma, Yoshiyuki Katsuta, Shohei Tanaka, Noriyuki Kadoya, Yu Suzuki, Kazuya Takeda, Noriyoshi Takahashi, Takaya Yamamoto, Michiaki Unno, Keiichi Jingu

Journal of radiation research　63　(6)　856-865　2022/08/20

DOI： 10.1093/jrr/rrac049 　

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The purpose of this study was to compare acute gastrointestinal (GI) toxicities in patients who underwent 3-dimensional conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT) in chemoradiotherapy (CRT) with S-1 including prophylactic regions for pancreatic cancer. We also investigated the predictive factor of acute GI toxicities in dose volume histogram (DVH) parameters. Patients who received CRT with S-1 for pancreatic cancer between January 2014 and March 2021 were included. Radiotherapy (RT) with a total dose of 50-54 Gy was delivered. We examined the differences in the frequencies of acute GI toxicity of grade 2 or higher and DVH parameters of the stomach (ST) and duodenum (DU) between the 3DCRT group and the IMRT group. The RT-related predictive factors of acute GI toxicities were investigated by univariate and multivariate analyses. There were 25 patients in the 3DCRT group and 31 patients in the IMRT group. The frequencies of acute GI toxicity of G2 or higher were 36% in the 3DCRT group and 9.7% in the IMRT group (p = 0.035). ST V50 was the most predictive factor (p = 0.001), and the incidences of acute GI toxicity of G2 or higher in ST V50 ≥ 4.1 cc and < 4.1cc were 43.7% and 7.7%, respectively. ST V40 was also a significant predictive factor of acute GI toxicity (p = 0.002). IMRT could reduce acute GI toxicities in CRT with S-1 including prophylactic regions for pancreatic cancer. Acute GI toxicities may be affected by moderate to high doses to the ST.
Stereotactic Radiosurgery for Lung Cancer with a Risk-Adapted Strategy Using the Volumetric Modulated Arc Therapy Technique: A Single Arm Phase II Study

Takaya Yamamoto, Yu Katagiri, Yoko Tsukita, Haruo Matsushita, Rei Umezawa, Yoshiyuki Katsuta, Noriyuki Kadoya, Noriyoshi Takahashi, Yu Suzuki, Kazuya Takeda, Keita Kishida, So Omata, Eisaku Miyauchi, Ryota Saito, Keiichi Jingu

Cancers　14　(16)　3993-3993　2022/08/18
Publisher: MDPI AG
DOI： 10.3390/cancers14163993 　

eISSN： 2072-6694

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Purpose: A phase II study carried out to assess the efficacy of a risk-adapted strategy of stereotactic radiosurgery (SRS) for lung cancer. The primary endpoint was 3-year local recurrence, and the secondary endpoints were overall survival (OS), disease-free survival (DFS), rate of start of systemic therapy or best supportive care (SST-BSC), and toxicity. Materials and Methods: Eligible patients fulfilled the following criteria: performance status of 2 or less, forced expiratory volume in 1 s of 700 mL or more, and tumor not located in central or attached to the chest wall. Twenty-eight Gy was prescribed for primary lung cancers with diameters of 3 cm or less and 30 Gy was prescribed for primary lung cancers with diameters of 3.1–5.0 cm or solitary metastatic lung cancer diameters of 5 cm or less. Results: Twenty-one patients were analyzed. The patients included 7 patients with adenocarcinoma, 2 patients with squamous cell carcinoma, 1 patient with metastasis, and 11 patients with clinical diagnosis. The median tumor diameter was 1.9 cm. SRS was prescribed at 28 Gy for 18 tumors and 30 Gy for 3 tumors. During the median follow-up period of 38.9 months for survivors, 1 patient had local recurrence, 7 patients had regional or distant metastasis, and 5 patients died. The 3-year local recurrence, SST-BSC, DFS, and OS rates were 5.3% (95% confidence interval [CI]: 0.3–22.2%), 20.1% (95% CI: 6.0–40.2%), 59.2% (95% CI: 34.4–77.3%), and 78.2% (95% CI: 51.4–91.3%), respectively. The 95% CI upper value of local recurrence was lower than the null local recurrence probability. There was no severe toxicity, and grade 2 radiation pneumonitis occurred in 1 patient. Conclusions: Patients who received SRS for lung cancer had a low rate of 3-year local recurrence and tolerable toxicity.
Assessment of a computed tomography-based radiomics approach for assessing lung function in lung cancer patients. International-journal

Yoshiro Ieko, Noriyuki Kadoya, Yuto Sugai, Shiina Mouri, Mariko Umeda, Shohei Tanaka, Takayuki Kanai, Kei Ichiji, Takaya Yamamoto, Hisanori Ariga, Keiichi Jingu

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)　101　28-35　2022/07/21

DOI： 10.1016/j.ejmp.2022.07.003 　

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PURPOSE: We aimed to assess radiomics approaches for estimating three pulmonary function test (PFT) results (forced expiratory volume in one second [FEV1], forced vital capacity [FVC], and the ratio of FEV1 to FVC [FEV1/FVC]) using data extracted from chest computed tomography (CT) images. METHODS: This retrospective study included 85 lung cancer patients (mean age, 75 years ±8; 69 men) who underwent stereotactic body radiotherapy between 2012 and 2020. Their pretreatment chest breath-hold CT and PFT data before radiotherapy were obtained. A total of 107 radiomics features (Shape: 14, Intensity: 18, Texture: 75) were extracted using two methods: extraction of the lung tissue (<-250 HU) (APPROACH 1), and extraction of small blood vessels and lung tissue (APPROACH 2). The PFT results were estimated using the least absolute shrinkage and selection operator regression. Pearson's correlation coefficients (r) were determined for all PFT results, and the area under the curve (AUC) was calculated for FEV1/FVC (<70 %). Finally, we compared our approaches with the conventional formula (Conventional). RESULTS: For the estimated FEV1/FVC, the Pearson's r were 0.21 (P =.06), 0.69 (P <.01), and 0.73 (P <.01) for Conventional, APPROACH 1, and APPROACH 2, respectively; the AUCs for FEV1/FVC (<70 %) were 0.67 (95 % confidence interval [CI]: 0.55, 0.79), 0.82 (CI: 0.72, 0.91; P =.047) and 0.86 (CI: 0.78, 0.94; P =.01), respectively. CONCLUSIONS: The radiomics approach performed better than the conventional equation and may be useful for assessing lung function based on CT images.
放射線治療における膵臓変位推定の為の2D断層画像駆動型複数臓器接触シミュレーション

原裕貴, 角谷倫之, 三目直登, 家永直人, 梅澤玲, 神宮啓一, 黒田嘉宏

日本医用画像工学会大会予稿集　41回　86-87　2022/07
Publisher: (一社)日本医用画像工学会
Feasibility of Differential Dose-Volume Histogram Features in Multivariate Prediction Model for Radiation Pneumonitis Occurrence. International-journal

Yoshiyuki Katsuta, Noriyuki Kadoya, Yuto Sugai, Yu Katagiri, Takaya Yamamoto, Kazuya Takeda, Shohei Tanaka, Keiichi Jingu

Diagnostics (Basel, Switzerland)　12　(6)　2022/05/31

DOI： 10.3390/diagnostics12061354 　

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The purpose of this study is to introduce differential dose-volume histogram (dDVH) features into machine learning for radiation pneumonitis (RP) prediction and to demonstrate the predictive performance of the developed model based on integrated cumulative dose-volume histogram (cDVH) and dDVH features. Materials and methods: cDVH and dDVH features were calculated for 153 patients treated for non-small-cell lung cancer with 60-66 Gy and dose bins ranging from 2 to 8 Gy in 2 Gy increments. RP prediction models were developed with the least absolute shrinkage and selection operator (LASSO) through fivefold cross-validation. Results: Among the 152 patients in the patient cohort, 41 presented ≥grade 2 RP. The interdependencies between cDVH features evaluated by Spearman's correlation were significantly resolved by the inclusion of dDVH features. The average area under curve for the RP prediction model using cDVH and dDVH model was 0.73, which was higher than the average area under curve using cDVH model for 0.62 with statistically significance (p < 0.01). An analysis using the entire set of regression coefficients determined by LASSO demonstrated that dDVH features represented four of the top five frequently selected features in the model fitting, regardless of dose bin. Conclusions: We successfully developed an RP prediction model that integrated cDVH and dDVH features. The best RP prediction model was achieved using dDVH (dose bin = 4 Gy) features in the machine learning process.
A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy. International-journal

Shohei Tanaka, Noriyuki Kadoya, Yuto Sugai, Mariko Umeda, Miyu Ishizawa, Yoshiyuki Katsuta, Kengo Ito, Ken Takeda, Keiichi Jingu

Scientific reports　12　(1)　8899-8899　2022/05/27

DOI： 10.1038/s41598-022-12170-z 　

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Early regression-the regression in tumor volume during the initial phase of radiotherapy (approximately 2 weeks after treatment initiation)-is a common occurrence during radiotherapy. This rapid radiation-induced tumor regression may alter target coordinates, necessitating adaptive radiotherapy (ART). We developed a deep learning-based radiomics (DLR) approach to predict early head and neck tumor regression and thereby facilitate ART. Primary gross tumor volume (GTVp) was monitored in 96 patients and nodal GTV (GTVn) in 79 patients during treatment. All patients underwent two computed tomography (CT) scans: one before the start of radiotherapy for initial planning and one during radiotherapy for boost planning. Patients were assigned to regression and nonregression groups according to their median tumor regression rate (ΔGTV/treatment day from initial to boost CT scan). We input a GTV image into the convolutional neural network model, which was pretrained using natural image datasets, via transfer learning. The deep features were extracted from the last fully connected layer. To clarify the prognostic power of the deep features, machine learning models were trained. The models then predicted the regression and nonregression of GTVp and GTVn and evaluated the predictive performance by 0.632 + bootstrap area under the curve (AUC). Predictive performance for GTVp regression was highest using the InceptionResNetv2 model (mean AUC = 0.75) and that for GTVn was highest using NASNetLarge (mean AUC = 0.73). Both models outperformed the handcrafted radiomics features (mean AUC = 0.63 for GTVp and 0.61 for GTVn) or clinical factors (0.64 and 0.67, respectively). DLR may facilitate ART for improved radiation side-effects and target coverage.
Patterns of failure after salvage chemoradiotherapy for postoperative loco-regional recurrent esophageal cancer: 20-year experience in a single institution in Japan.

Keiichi Jingu, Rei Umezawa, Takaya Yamamoto, Noriyoshi Takahashi, Kazuya Takeda, Yu Suzuki, Keita Kishida, So Omata, Yuta Sato, Noriyuki Kadoya

Esophagus : official journal of the Japan Esophageal Society　19　(4)　639-644　2022/05/16

DOI： 10.1007/s10388-022-00922-9 　

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PURPOSE: The purpose of the present study was to evaluate patterns of recurrence after salvage chemoradiotherapy (SCRT) for postoperative loco-regional recurrent esophageal cancer. METHODS: We reviewed records for 114 patients with postoperative loco-regional recurrent esophageal cancer treated by platinum-based chemoradiotherapy between 2000 and 2020, and we evaluated the patterns of failure in patients who had recurrence again or who had been observed for 2 years or more after SCRT at the last observation date. RESULTS: One hundred and three patients were enrolled in this study. The median observation period for survivors was 60 months. Fifty-three patients died of esophageal cancer and nine patients died of other diseases. The 5-year overall survival rate, cause-specific survival rate and disease-control rate were 43.7%, 45.3% and 37.0%, respectively. Sixty-five patients had failure after SCRT. In those patients, 26 patients had only distant organ or non-regional lymph node metastases, 26 patients had only loco-regional failure, and 13 patients had both. Of those 65 patients, 64 patients showed failure within 42 months after SCRT. Of 39 patients with loco-regional failure, failure in the irradiated field was observed in 28 patients. Of those 28 patients, 27 patients showed failure within 24 months and the other patient showed failure at 26.5 months. CONCLUSIONS: The patterns of failure after SCRT for patients with postoperative loco-regional recurrent esophageal cancer were shown. The patterns of failure suggest that follow-up for at least 4 years after SCRT should be performed for those patients.
A deep learning method for translating 3DCT to SPECT ventilation imaging: First comparison with 81m Kr-gas SPECT ventilation imaging. International-journal

Tomohiro Kajikawa, Noriyuki Kadoya, Yosuke Maehara, Hiroshi Miura, Yoshiyuki Katsuta, Shinsuke Nagasawa, Gen Suzuki, Hideya Yamazaki, Nagara Tamaki, Kei Yamada

Medical physics　49　(7)　4353-4364　2022/05/05

DOI： 10.1002/mp.15697 　

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PURPOSE: This study aimed to evaluate the accuracy of deep learning (DL)-based computed tomography (CT) ventilation imaging (CTVI). METHODS: A total of 71 cases that underwent single-photon emission CT 81m Kr-gas ventilation (SPECT V) and CT imaging were included. Sixty cases were assigned to the training and validation sets, and the remaining 11 cases were assigned to the test set. To directly transform three-dimensional (3D) CT (free-breathing CT) images to SPECT V images, a DL-based model was implemented based on the U-Net architecture. The input and output data were 3DCT- and SPECT V-masked, respectively, except for whole-lung volumes. These data were rearranged in voxel size, registered rigidly, cropped, and normalized in preprocessing. In addition to a standard estimation method (i.e., without dropout during the estimation process), a Monte Carlo dropout (MCD) method (i.e., with dropout during the estimation process) was used to calculate prediction uncertainty. To evaluate the two models' (CTVIMCD U-Net , CTVIU-Net ) performance, we used fivefold cross-validation for the training and validation sets. To test the final model performances for both approaches, we applied the test set to each trained model and averaged the test prediction results from the five trained models to acquire the mean test result (bagging) for each approach. For the MCD method, the models were predicted repeatedly (sample size = 200), and the average and standard deviation (SD) maps were calculated in each voxel from the predicted results: The average maps were defined as test prediction results in each fold. As an evaluation index, the voxel-wise Spearman rank correlation coefficient (Spearman rs ) and Dice similarity coefficient (DSC) were calculated. The DSC was calculated for three functional regions (high, moderate, and low) separated by an almost equal volume. The coefficient of variation was defined as prediction uncertainty, and these average values were calculated within three functional regions. The Wilcoxon signed-rank test was used to test for a significant difference between the two DL-based approaches. RESULTS: The average indexes with one SD (1SD) between CTVIMCD U-Net and SPECT V were 0.76 ± 0.06, 0.69 ± 0.07, 0.51 ± 0.06, and 0.75 ± 0.04 for Spearman rs , DSChigh , DSCmoderate , and DSClow , respectively. The average indexes with 1SD between CTVIU-Net and SPECT V were 0.72 ± 0.05, 0.66 ± 0.04, 0.48 ± 0.04, and 0.74 ± 0.06 for Spearman rs , DSChigh , DSCmoderate , and DSClow , respectively. These indexes between CTVIMCD U-Net and CTVIU-Net showed no significance difference (Spearman rs , p = 0.175; DSChigh , p = 0.123; DSCmoderate , p = 0.278; DSClow , p = 0.520). The average coefficient of variations with 1SD were 0.27 ± 0.00, 0.27 ± 0.01, and 0.36 ± 0.03 for the high-, moderate-, and low-functional regions, respectively, and the low-functional region showed a tendency to exhibit larger uncertainties than the others. CONCLUSION: We evaluated DL-based framework for estimating lung-functional ventilation images only from CT images. The results indicated that the DL-based approach could potentially be used for lung-ventilation estimation.
Durvalumab after chemoradiotherapy for locally advanced non-small cell lung cancer prolonged distant metastasis-free survival, progression-free survival and overall survival in clinical practice. International-journal

Takaya Yamamoto, Yoko Tsukita, Yu Katagiri, Haruo Matsushita, Rei Umezawa, Yojiro Ishikawa, Noriyoshi Takahashi, Yu Suzuki, Kazuya Takeda, Eisaku Miyauchi, Ryota Saito, Yoshiyuki Katsuta, Noriyuki Kadoya, Keiichi Jingu

BMC cancer　22　(1)　364-364　2022/04/04

DOI： 10.1186/s12885-022-09354-1 　

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BACKGROUND: In clinical practice, the effect of durvalumab and radiation pneumonitis (RP) on survival after intensity-modulated radiotherapy (IMRT) is not fully understood. The purpose of this retrospective study was to investigate factors related to distant metastasis-free survival (DMFS), progression-free survival (PFS) and overall survival (OS) after IMRT for locally advanced non-small cell lung cancer (LA-NSCLC). METHODS: All patients who were treated with conventional fractionated IMRT for LA-NSCLC between April 2016 and March 2021 were eligible. Time-to-event data were assessed by using the Kaplan-Meier estimator, and the Cox proportional hazards model was used for prognostic factor analyses. Factors that emerged after the start of IMRT, such as durvalumab administration or the development of RP, were analysed as time-dependent covariates. RESULTS: A total of 68 consecutive patients treated with conventional fractionated IMRT for LA-NSCLC were analysed. Sixty-six patients completed radiotherapy, 50 patients received concurrent chemotherapy, and 36 patients received adjuvant durvalumab. During the median follow-up period of 14.3 months, 23 patients died, and tumour progression occurred in 37 patients, including 28 patients with distant metastases. The 1-year DMFS rate, PFS rate and OS rate were 59.9%, 48.7% and 84.2%, respectively. Grade 2 RP occurred in 16 patients, grade 3 in 6 patients and grade 5 in 1 patient. The 1-year cumulative incidences of grade 2 or higher RP and grade 3 or higher RP were 33.8% and 10.3%, respectively. The results of multivariate analyses showed that durvalumab had a significantly lower hazard ratio (HR) for DMFS, PFS and OS (HR 0.31, p < 0.01; HR 0.33, p < 0.01 and HR 0.32, p = 0.02), respectively. Grade 2 or higher RP showed significance for DMFS and a nonsignificant trend for OS (HR 2.28, p = 0.04 and HR 2.12, p = 0.13), respectively, whereas a higher percentage of lung volume receiving 20 Gy or higher was significant for PFS (HR 2.25, p = 0.01). CONCLUSIONS: In clinical practice, durvalumab administration following IMRT with concomitant chemotherapy showed a significant survival benefit. Reducing the risk of grade 2 or higher RP would also be beneficial.
局所型前立腺癌に対する根治的IMRT後の重篤な晩期尿路障害に関連する臨床因子

武田賢, 梅澤玲, 石川陽二郎, 山本貴也, 高橋紀善, 武田一也, 角谷倫之, 松下晴雄, 神宮啓一, 山下慎一, 三塚浩二, 伊藤明宏, 荒井陽一, 高井良尋

Japanese Journal of Radiology　40　(Suppl.)　6-6　2022/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
Prediction of radiation pneumonitis with machine learning using 4D-CT based dose-function features

Yoshiyuki Katsuta, Noriyuki Kadoya, Shina Mouri, Shohei Tanaka, Takayuki Kanai, Kazuya Takeda, Takaya Yamamoto, Kengo Ito, Tomohiro Kajikawa, Yujiro Nakajima, Keiichi Jingu

Journal of Radiation Research　63　(1)　71-79　2022/01/20
Publisher: Oxford University Press (OUP)
DOI： 10.1093/jrr/rrab097 　

ISSN： 0449-3060

eISSN： 1349-9157

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<title>Abstract</title> In this article, we highlight the fundamental importance of the simultaneous use of dose-volume histogram (DVH) and dose-function histogram (DFH) features based on functional images calculated from 4-dimensional computed tomography (4D-CT) and deformable image registration (DIR) in developing a multivariate radiation pneumonitis (RP) prediction model. The patient characteristics, DVH features and DFH features were calculated from functional images by Hounsfield unit (HU) and Jacobian metrics, for an RP grade ≥ 2 multivariate prediction models were computed from 85 non-small cell lung cancer patients. The prediction model is developed using machine learning via a kernel-based support vector machine (SVM) machine. In the patient cohort, 21 of the 85 patients (24.7%) presented with RP grade ≥ 2. The median area under curve (AUC) was 0.58 for the generated 50 prediction models with patient clinical features and DVH features. When HU metric and Jacobian metric DFH features were added, the AUC improved to 0.73 and 0.68, respectively. We conclude that predictive RP models that incorporate DFH features were successfully developed via kernel-based SVM. These results demonstrate that effectiveness of the simultaneous use of DVH features and DFH features calculated from 4D-CT and DIR on functional image-guided radiotherapy.
Longitudinal analyses and predictive factors of radiation-induced lung toxicity-related parameters after stereotactic radiotherapy for lung cancer. International-journal

Takaya Yamamoto, Yoshiyuki Katsuta, Kiyokazu Sato, Yoko Tsukita, Rei Umezawa, Noriyoshi Takahashi, Yu Suzuki, Kazuya Takeda, Keita Kishida, So Omata, Eisaku Miyauchi, Ryota Saito, Noriyuki Kadoya, Keiichi Jingu

PloS one　17　(12)　e0278707　2022

DOI： 10.1371/journal.pone.0278707 　

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BACKGROUND AND PURPOSE: The purpose of this prospective study was to investigate changes in longitudinal parameters after stereotactic radiotherapy for lung cancer and to identify possible pretreatment factors related to radiation-induced lung toxicity and the decline in pulmonary function after radiotherapy. MATERIALS AND METHODS: Protocol-specified examinations, including 4-D CT, laboratory tests, pulmonary function tests (PFTs) and body composition measurements, were performed before SRT and at 1 month, 4 months and 12 months after stereotactic radiotherapy. Longitudinal differences were tested by using repeated-measures analysis of variance. Correlations were examined by using the Pearson product-moment correlation coefficient (r). RESULTS: Sixteen patients were analyzed in this study. During a median follow-up period of 26.6 months, grade 1 and 2 lung toxicity occurred in 11 patients and 1 patient, respectively. The mean Hounsfield units (HU) and standard deviation (SD) of the whole lung, as well as sialylated carbohydrate antigen KL-6 (KL-6) and surfactant protein-D (SP-D), peaked at 4 months after radiotherapy (p = 0.11, p<0.01, p = 0.04 and p<0.01, respectively). At 4 months, lung V20 Gy (%) and V40 Gy (%) were correlated with changes in SP-D, whereas changes in the mean HU of the lung were related to body mass index and lean body mass index (r = 0.54, p = 0.02; r = 0.57, p = 0.01; r = 0.69, p<0.01; and r = 0.69, p<0.01, respectively). The parameters of PFTs gradually declined over time. When regarding the change in PFTs from pretreatment to 12 months, lung V5 Gy (cc) showed significant correlations with diffusion capacity for carbon monoxide (DLCO), DLCO/alveolar volume and the relative change in DLCO (r = -0.72, p<0.01; r = -0.73, p<0.01; and r = -0.63, p = 0.01, respectively). CONCLUSIONS: The results indicated that some parameters peaked at 4 months, but PFTs were the lowest at 12 months. Significant correlations between lung V5 Gy (cc) and changes in DLCO and DLCO/alveolar volume were observed.
Evaluation of the electron transport algorithm in magnetic field in EGS5 Monte Carlo code

Kengo Ito, Noriyuki Kadoya, Yoshiyuki Katsuta, Shohei Tanaka, Suguru Dobashi, Ken Takeda, Keiichi Jingu

Physica Medica　93　46-51　2022/01
Publisher: Elsevier BV
DOI： 10.1016/j.ejmp.2021.12.001 　

ISSN： 1120-1797
頭頸部がんに対する根治放射線治療後の口腔関連QOL長期的推移

神宮啓一, 高橋紀善, 田坂俊, 梅澤玲, 山本貴也, 石川陽二郎, 武田一也, 鈴木友, 角谷倫之, 松下晴雄

頭頸部癌　47　(3)　290-294　2021/10
Publisher: (一社)日本頭頸部癌学会
ISSN： 1349-5747

eISSN： 1881-8382
Evaluation of performance of pelvic CT-MR deformable image registration using two software programs. International-journal

Tomoya Ishida, Noriyuki Kadoya, Shunpei Tanabe, Haruna Ohashi, Hikaru Nemoto, Suguru Dobashi, Ken Takeda, Keiichi Jingu

Journal of radiation research　2021/09/09

DOI： 10.1093/jrr/rrab078 　

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We assessed the accuracy of deformable image registration (DIR) accuracy between CT and MR images using an open-source software (Elastix, from Utrecht Medical Center) and a commercial software (Velocity AI Ver. 3.2.0 from Varian Medical Systems, Palo Alto, CA, USA) software. Five male patients' pelvic regions were studied using publicly available CT, T1-weighted (T1w) MR, and T2-weighted (T2w) MR images. In the cost function of the Elastix, we used six DIR parameter settings with different regularization weights (Elastix0, Elastix0.01, Elastix0.1, Elastix1, Elastix10, and Elastix100). We used MR Corrected Deformable algorithm for Velocity AI. The Dice similarity coefficient (DSC) and mean distance to agreement (MDA) for the prostate, bladder, rectum and left and right femoral heads were used to evaluate DIR accuracy. Except for the bladder, most algorithms produced good DSC and MDA results for all organs. In our study, the mean DSCs for the bladder ranged from 0.75 to 0.88 (CT-T1w) and from 0.72 to 0.76 (CT-T2w). Similarly, the mean MDA ranges were 2.4 to 4.9 mm (CT-T1w), 4.6 to 5.3 mm (CT-T2w). For the Elastix, CT-T1w was outperformed CT-T2w for both DSCs and MDAs at Elastix0, Elastix0.01, and Elastix0.1. In the case of Velocity AI, no significant differences in DSC and MDA of all organs were observed. This implied that the DIR accuracy of CT and MR images might differ depending on the sequence used.
Evaluation of the dosimetric impact of heart function-based volumetric modulated arc therapy planning in patients with esophageal cancer.

Shohei Tanaka, Noriyuki Kadoya, Rei Umezawa, Hikaru Nemoto, Yoshiyuki Katsuta, Kengo Ito, Ken Takeda, Keiichi Jingu

Radiological physics and technology　14　(3)　279-287　2021/09

DOI： 10.1007/s12194-021-00623-5 　

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Radiotherapy for esophageal cancer entails high-dose irradiation of the myocardium owing to its close anatomical proximity to the esophagus. This study aimed to evaluate the dosimetric impact of functional avoidance planning for the myocardium with volumetric-modulated arc therapy (VMAT) in patients with esophageal cancer and determine the feasibility of functional planning. Ten patients with early stage esophageal cancer were included in this study. The prescribed dose was 60 Gy administered in 30 fractions. An experienced physician contoured the left ventricle (LV) of the myocardium. For each patient, an anatomical plan (non-LV-sparing plan) and a functional plan (LV-sparing plan) were created using the VMAT. In the functional plan, the mean percentage of LV volume receiving a dose of ≥ 30 and ≥ 40 Gy was 6.0% ± 6.7% and 2.4% ± 2.7%, respectively, whereas in the anatomical plan, they were 11.7% ± 13.1% and 4.9% ± 6.5%, respectively. There were no significant differences with respect to the dose to the hottest 1 cm3 of the planning target volume (PTV) and the minimum dose of the gross tumor volume and the dosimetric parameters of other normal tissues between the anatomical and functional plans. We compared the anatomical and functional plans of patients with esophageal cancer undergoing VMAT. Our results demonstrated that the functional plan reduced the dose to the LV with no significant differences in the organs at risk and PTV, indicating that avoidance planning can be safely performed when administering VMAT in patients with esophageal cancer.
Clinical predictors of severe late urinary toxicity after curative intensity-modulated radiation therapy for localized prostate cancer. International-journal

Ken Takeda, Rei Umezawa, Yojiro Ishikawa, Takaya Yamamoto, Noriyoshi Takahashi, Kazuya Takeda, Noriyuki Kadoya, Haruo Matsushita, Yoshihide Kawasaki, Koji Mitsuzuka, Akihiro Ito, Yoichi Arai, Yoshihiro Takai, Keiichi Jingu

Journal of radiation research　2021/08/31

DOI： 10.1093/jrr/rrab074 　

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Intractable late urinary toxicity is a serious complication after radiotherapy for patients with localized prostate cancer (LPC). We assessed clinical factors correlated with severe late urinary toxicity in LPC treated with curative image-guided intensity-modulated radiation therapy (IMRT). A total of 452 patients with LPC treated with IMRT between 2002 and 2016 were retrospectively analyzed. Among them, 432 patients received androgen deprivation therapy (ADT). The median total irradiated doses were 80 (range, 76-80) Gy. Each daily dose was 2 Gy per fraction. The median follow-up was 83 (range, 4-210) months. Late urinary toxicity was scored according to the National Cancer Institute Common Terminology Criteria for Adverse Events, Version 4.03. Grade 3 late urinary toxicity was observed in 27 patients. No cases with grade ≥ 4 late urinary toxicity were observed. The 5-, 10-, and 12.5-year grade 3 late urinary toxicity-free survival rates were 97%, 91.8% and 88.1%, respectively. Age, risk classification, total irradiated dose, ADT duration, antithrombotic therapy (AT), cardiovascular disease, hypertension (HT), diabetes mellitus (DM), dyslipidemia (DL), prior transurethral resection of the prostate (TURP) and prior high-intensity focused ultrasound (HIFU) were investigated for correlations with grade 3 late urinary toxicity. In univariate analysis, AT and prior HIFU and no other studied factors, were correlated with grade 3 late urinary toxicity. AT and prior HIFU appear to be predictive of grade 3 late urinary toxicity. Patients with LPC with these relevant clinical factors should be carefully followed up by sharing detailed information with the urology department.
IMRT improves local control in patients with nasopharyngeal carcinoma compared with conventional radiotherapy: propensity score-matched analysis. International-journal

Zichang Ma, Rei Umezawa, Takaya Yamamoto, Yojiro Ishikawa, Noriyoshi Takahashi, Kazuya Takeda, Yu Suzuki, Liuwei Tang, Kengo Ito, Noriyuki Kadoya, Keiichi Jingu

Japanese journal of clinical oncology　51　(9)　1444-1451　2021/07/12

DOI： 10.1093/jjco/hyab100 　

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BACKGROUND: It is still controversial whether intensity-modulated radiotherapy has an obvious advantage over conventional radiotherapy. The purposes of this study were to evaluate prognostic factors in pre-treatment characteristics for nasopharyngeal carcinoma and to compare treatment outcomes in patients who received intensity-modulated radiotherapy and patients who received two-dimensional radiotherapy or three-dimensional radiotherapy. METHODS: We reviewed patients with nasopharyngeal carcinoma who received chemoradiotherapy in our hospital during the period from 2000 to 2017, and we excluded patients who had a history of surgery for nasopharyngeal carcinoma and those who had distant metastases before treatment. A total of 72 patients who were treated by radiotherapy with concurrent chemotherapy were enrolled. All of the patients were irradiated with a total dose of 58-70 Gy. Overall survival, locoregional control and progression-free survival rates were compared in the groups treated by intensity-modulated radiotherapy and two-dimensional/three-dimensional radiotherapy. Propensity score matching was performed to homogenize the two groups. RESULTS: The median follow-up period was 62.5 months. After propensity score matching, in patients treated with intensity-modulated radiotherapy, the 5-year rate of overall survival, locoregional control and progression-free survival were 73.5, 95.2 and 72.7%, respectively. In patients treated with two-dimensional/three-dimensional radiotherapy, the 5-year rate of overall survival, locoregional control and progression-free survival were 69.1, 67.7 and 51.8%, respectively. There was a significant difference between the groups only in locoregional control. Late toxicities of grade 2 or higher were occurred in 38.5 and 24.2% of the patients treated by two-dimensional/three-dimensional radiotherapy and intensity-modulated radiotherapy, respectively. CONCLUSIONS: Our results suggested that intensity-modulated radiotherapy is more effective than two-dimensional/three-dimensional radiotherapy in patients with nasopharyngeal carcinoma, especially in locoregional control.
A Pilot Study of Synchronization of Respiration-Induced Motions in the Duodenum and Stomach for the Primary Tumor in Radiation Therapy for Pancreatic Cancer Using 4-Dimensional Computed Tomography

Rei Umezawa, Akihisa Wakita, Yoshiyuki Katsuta, Yoshinori Ito, Satoshi Nakamura, Hiroyuki Okamoto, Noriyuki Kadoya, Kana Takahashi, Koji Inaba, Naoya Murakami, Hiroshi Igaki, Keiichi Jingu, Jun Itami

ADVANCES IN RADIATION ONCOLOGY　6　(4)　2021/07

DOI： 10.1016/j.adro.2021.100730 　

eISSN： 2452-1094
Development of a physical geometric phantom for deformable image registration credentialing of radiotherapy centers for a clinical trial. International-journal

Noriyuki Kadoya, Siwaporn Sakulsingharoj, Tomas Kron, Adam Yao, Nicholas Hardcastle, Alanah Bergman, Hiroyuki Okamoto, Nobutaka Mukumoto, Yujiro Nakajima, Keiichi Jingu, Mitsuhiro Nakamura

Journal of applied clinical medical physics　22　(7)　255-265　2021/07

DOI： 10.1002/acm2.13319 　

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PURPOSE: This study aimed to develop a physical geometric phantom for the deformable image registration (DIR) credentialing of radiotherapy centers for a clinical trial and tested the feasibility of the proposed phantom at multiple domestic and international institutions. METHODS AND MATERIALS: The phantom reproduced tumor shrinkage, rectum shape change, and body shrinkage using several physical phantoms with custom inserts. We tested the feasibility of the proposed phantom using 5 DIR patterns at 17 domestic and 2 international institutions (21 datasets). Eight institutions used the MIM software (MIM Software Inc, Cleveland, OH); seven used Velocity (Varian Medical Systems, Palo Alto, CA), and six used RayStation (RaySearch Laboratories, Stockholm, Sweden). The DIR accuracy was evaluated using the Dice similarity coefficient (DSC) and Hausdorff distance (HD). RESULTS: The mean and one standard deviation (SD) values (range) of DSC were 0.909 ± 0.088 (0.434-0.984) and 0.909 ± 0.048 (0.726-0.972) for tumor and rectum proxies, respectively. The mean and one SD values (range) of the HD value were 5.02 ± 3.32 (1.53-20.35) and 5.79 ± 3.47 (1.22-21.48) (mm) for the tumor and rectum proxies, respectively. In three patterns evaluating the DIR accuracy within the entire phantom, 61.9% of the data had more than a DSC of 0.8 in both tumor and rectum proxies. In two patterns evaluating the DIR accuracy by focusing on tumor and rectum proxies, all data had more than a DSC of 0.8 in both tumor and rectum proxies. CONCLUSIONS: The wide range of DIR performance highlights the importance of optimizing the DIR process. Thus, the proposed method has considerable potential as an evaluation tool for DIR credentialing and quality assurance.
Error detection model developed using a multi-task convolutional neural network in patient-specific quality assurance for volumetric-modulated arc therapy. International-journal

Yuto Kimura, Noriyuki Kadoya, Yohei Oku, Tomohiro Kajikawa, Seiji Tomori, Keiichi Jingu

Medical physics　48　(9)　4769-4783　2021/06/08

DOI： 10.1002/mp.15031 　

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PURPOSE: In patient-specific quality assurance (QA) for static beam intensity-modulated radiation therapy (IMRT), machine-learning-based dose analysis methods have been developed to identify the cause of an error as an alternative to gamma analysis. Although these new methods have revealed that the cause of the error can be identified by analyzing the dose distribution obtained from the two-dimensional detector, they have not been extended to the analysis of volumetric-modulated arc therapy (VMAT) QA. In this study, we propose a deep learning approach to detect various types of errors in patient-specific VMAT QA. METHODS: A total of 161 beams from 104 prostate VMAT plans were analyzed. All beams were measured using a cylindrical detector (Delta4; ScandiDos, Uppsala, Sweden), and predicted dose distributions in a cylindrical phantom were calculated using a treatment planning system (TPS). In addition to the error-free plan, we simulated 12 types of errors: two types of multileaf collimator positional errors (systematic or random leaf offset of 2 mm), two types of monitor unit (MU) scaling errors (±3%), two types of gantry rotation errors (±2° in clockwise and counterclockwise direction), and six types of phantom setup errors (±1 mm in lateral, longitudinal, and vertical directions). The error-introduced predicted dose distributions were created by editing the calculated dose distributions using a TPS with in-house software. Those 13 types of dose difference maps, consisting of an error-free map and 12 error maps, were created from the measured and predicted dose distributions and were used to train the convolutional neural network (CNN) model. Our model was a multi-task model that individually detected each of the 12 types of errors. Two datasets, Test sets 1 and 2, were prepared to evaluate the performance of the model. Test set 1 consisted of 13 types of dose maps used for training, whereas Test set 2 included the dose maps with 25 types of errors in addition to the error-free dose map. The dose map, which introduced 25 types of errors, was generated by combining two of the 12 types of simulated errors. For comparison with the performance of our model, gamma analysis was performed for Test sets 1 and 2 with the criteria set to 3%/2 mm and 2%/1 mm (dose difference/distance to agreement). RESULTS: For Test set 1, the overall accuracy of our CNN model, gamma analysis with the criteria set to 3%/2 mm, and gamma analysis with the criteria set to 2%/1 mm was 0.92, 0.19, and 0.81, respectively. Similarly, for Test set 2, the overall accuracy was 0.44, 0.42, and 0.95, respectively. Our model outperformed gamma analysis in the classification of dose maps containing a single type error, and the performance of our model was inferior in the classification of dose maps containing compound errors. CONCLUSIONS: A multi-task CNN model for detecting errors in patient-specific VMAT QA using a cylindrical measuring device was constructed, and its performance was evaluated. Our results demonstrate that our model was effective in identifying the error type in the dose map for VMAT QA.
Stereotactic body radiotherapy for kidney cancer: a 10-year experience from a single institute. International-journal

Takaya Yamamoto, Yoshihide Kawasaki, Rei Umezawa, Noriyuki Kadoya, Haruo Matsushita, Kazuya Takeda, Yojiro Ishikawa, Noriyoshi Takahashi, Yu Suzuki, Ken Takeda, Kousei Kawabata, Akihiro Ito, Keiichi Jingu

Journal of radiation research　62　(3)　533-539　2021/05/12

DOI： 10.1093/jrr/rrab031 　

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The purpose of this retrospective study was to investigate survival outcomes and irradiated tumor control (local control [LC]) and locoregional control (LRC) after stereotactic body radiotherapy (SBRT) for T1 or recurrent T1 (rT1) kidney cancer. Twenty-nine nonconsecutive patients with 30 tumors were included. SBRT doses of 70 Gy, 60 Gy or 50 Gy in 10 fractions were prescribed with a linear accelerator using daily image guidance. The Kaplan-Meier method was used to estimate time-to-event outcomes, and the log-rank test was used to compare survival curves between groups divided by each possible factor. The median follow-up periods for all patients and survivors were 57 months and 69.6 months, respectively. The five-year LC rate, LRC rate, progression-free survival (PFS) rate, disease-specific survival (DSS) rate and overall survival (OS) rate were 94%, 88%, 50%, 96% and 68%, respectively. No significant factor was related to OS and PFS. Three of 24 non-hemodialysis (HD) patients had new-onset-HD because of the progression of underlying kidney disease. Grade 3 or higher toxicities from SBRT did not occur. In conclusion, SBRT for kidney cancer provided a high rate of LC, LRC and DSS with minimal toxicities, but patient selection and indication for SBRT should be done carefully considering the relatively low OS rate.
Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients. International-journal

Yuto Sugai, Noriyuki Kadoya, Shohei Tanaka, Shunpei Tanabe, Mariko Umeda, Takaya Yamamoto, Kazuya Takeda, Suguru Dobashi, Haruna Ohashi, Ken Takeda, Keiichi Jingu

Radiation oncology (London, England)　16　(1)　80-80　2021/04/30

DOI： 10.1186/s13014-021-01810-9 　

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BACKGROUND: Radiomics is a new technology to noninvasively predict survival prognosis with quantitative features extracted from medical images. Most radiomics-based prognostic studies of non-small-cell lung cancer (NSCLC) patients have used mixed datasets of different subgroups. Therefore, we investigated the radiomics-based survival prediction of NSCLC patients by focusing on subgroups with identical characteristics. METHODS: A total of 304 NSCLC (Stages I-IV) patients treated with radiotherapy in our hospital were used. We extracted 107 radiomic features (i.e., 14 shape features, 18 first-order statistical features, and 75 texture features) from the gross tumor volume drawn on the free breathing planning computed tomography image. Three feature selection methods [i.e., test-retest and multiple segmentation (FS1), Pearson's correlation analysis (FS2), and a method that combined FS1 and FS2 (FS3)] were used to clarify how they affect survival prediction performance. Subgroup analysis for each histological subtype and each T stage applied the best selection method for the analysis of All data. We used a least absolute shrinkage and selection operator Cox regression model for all analyses and evaluated prognostic performance using the concordance-index (C-index) and the Kaplan-Meier method. For subgroup analysis, fivefold cross-validation was applied to ensure model reliability. RESULTS: In the analysis of All data, the C-index for the test dataset is 0.62 (FS1), 0.63 (FS2), and 0.62 (FS3). The subgroup analysis indicated that the prediction model based on specific histological subtypes and T stages had a higher C-index for the test dataset than that based on All data (All data, 0.64 vs. SCCall, 060; ADCall, 0.69; T1, 0.68; T2, 0.65; T3, 0.66; T4, 0.70). In addition, the prediction models unified for each T stage in histological subtype showed a different trend in the C-index for the test dataset between ADC-related and SCC-related models (ADCT1-ADCT4, 0.72-0.83; SCCT1-SCCT4, 0.58-0.71). CONCLUSIONS: Our results showed that feature selection methods moderately affected the survival prediction performance. In addition, prediction models based on specific subgroups may improve the prediction performance. These results may prove useful for determining the optimal radiomics-based predication model.
Systematic method for a deep learning-based prediction model for gamma evaluation in patient-specific quality assurance of volumetric modulated arc therapy. International-journal

Seiji Tomori, Noriyuki Kadoya, Tomohiro Kajikawa, Yuto Kimura, Kakutarou Narazaki, Takahiro Ochi, Keiichi Jingu

Medical physics　48　(3)　1003-1018　2021/03

DOI： 10.1002/mp.14682 　

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PURPOSE: This study aimed to develop and evaluate a novel strategy for establishing a deep learning-based gamma passing rate (GPR) prediction model for volumetric modulated arc therapy (VMAT) using dummy target plan data, one measurement process, and a multicriteria prediction method. METHODS: A total of 147 VMAT plans were used for the training set (two sets of 48 dummy target plans) and test set (51 clinical target plans). The dummy plans were measured using a diode array detector. We developed an original convolutional neural network that accepts coronal and sagittal dose distributions to predict the GPRs of 36 pairs of gamma criteria from 0.5%/0.5 mm to 3%/3 mm. Sixfold cross-validation and model averaging were performed, and the mean training result and mean test result were derived from six trained models that were produced during cross-validation. RESULTS: Strong or moderate correlations were observed between the measured and predicted GPRs in all criteria. The mean absolute errors and root mean squared errors of the test set (clinical target plan) were 0.63 and 1.11 in 3%/3 mm, 1.16 and 1.73 in 3%/2 mm, 1.96 and 2.66 in 2%/2 mm, 5.00 and 6.35 in 1%/1 mm, and 5.42 and 6.78 in 0.5%/1 mm, respectively. The Pearson correlation coefficients were 0.80 in the training set and 0.68 in the test set at the 0.5%/1 mm criterion. CONCLUSION: Our results suggest that the training of the deep learning-based quality assurance model can be performed using a dummy target plan.
Differences in patterns of recurrence of squamous cell carcinoma and adenocarcinoma after radiotherapy for stage III non-small cell lung cancer.

Yu Katagiri, Keiichi Jingu, Takaya Yamamoto, Haruo Matsushita, Rei Umezawa, Yojiro Ishikawa, Noriyoshi Takahashi, Kazuya Takeda, Shun Tasaka, Noriyuki Kadoya

Japanese journal of radiology　39　(6)　611-617　2021/01/23

DOI： 10.1007/s11604-021-01091-y 　

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PURPOSE: To evaluate the differences in patterns of recurrence and treatment results by histology after definitive radiotherapy for stage III non-small cell lung cancer (NSCLC) in Japan. MATERIALS AND METHODS: Patients with stage III NSCLC who underwent definitive radiotherapy between 2000 and 2016 in our institution were included. A total of 217 patients were enrolled. Propensity score matching was used to exclude the following confounding factors: (1) age (≥70 years or <70 years), (2) gender, (3) T factor, (4) N factor, (5) Eastern Cooperative Oncology Group performance status score and (6) smoking status (Brinkman index ≥400 or <400). RESULTS: The median observation period for survivors was 55.1 months. After propensity score matching, the Sqcc and adenocarcinoma groups each included 62 paired patients. There was no significant difference in OS or PFS between the adenocarcinoma and Sqcc groups. However, rates of recurrence in the GTV-primary site (p = 0.009) and GTV-lymph node site (p = 0.037) were significantly higher in patients with Sqcc than in patients with adenocarcinoma. New metastatic recurrence was more frequent in patients with adenocarcinoma than in patients with Sqcc (p = 0.025). CONCLUSION: There were significant differences in patterns of recurrence after definitive (chemo)radiotherapy between patients with Sqcc and patients with adenocarcinoma.
[The impact of 4DCT-ventilation imaging-guided proton therapy on stereotactic body radiotherapy for lung cancer].

Yoshiro Ieko, Noriyuki Kadoya, Takayuki Kanai, Yujiro Nakajima, Kazuhiro Arai, Takahiro Kato, Kengo Ito, Yuya Miyasaka, Ken Takeda, Takeo Iwai, Kenji Nemoto, Keiichi Jingu

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics　41　(3)　157-157　2021

DOI： 10.11323/jjmp.41.3_157 　
Comparison of predictive performance for toxicity by accumulative dose of DVH parameter addition and DIR addition for cervical cancer patients. International-journal

Yuya Miyasaka, Noriyuki Kadoya, Rei Umezawa, Yoshiki Takayama, Kengo Ito, Takaya Yamamoto, Shohei Tanaka, Suguru Dobashi, Ken Takeda, Kenji Nemoto, Takeo Iwai, Keiichi Jingu

Journal of radiation research　62　(1)　155-162　2021/01/01

DOI： 10.1093/jrr/rraa099 　

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We compared predictive performance between dose volume histogram (DVH) parameter addition and deformable image registration (DIR) addition for gastrointestinal (GI) toxicity in cervical cancer patients. A total of 59 patients receiving brachytherapy and external beam radiotherapy were analyzed retrospectively. The accumulative dose was calculated by three methods: conventional DVH parameter addition, full DIR addition and partial DIR addition. ${D}_{2{cm}^3}$, ${D}_{1{cm}^3}$ and ${D}_{0.1{cm}^3}$ (minimum doses to the most exposed 2 cm3, 1cm3 and 0.1 cm3 of tissue, respectively) of the rectum and sigmoid were calculated by each method. V50, V60 and V70 Gy (volume irradiated over 50, 60 and 70 Gy, respectively) were calculated in full DIR addition. The DVH parameters were compared between toxicity (≥grade1) and non-toxicity groups. The area under the curve (AUC) of the receiver operating characteristic (ROC) curves were compared to evaluate the predictive performance of each method. The differences between toxicity and non-toxicity groups in ${D}_{2{cm}^3}$ were 0.2, 5.7 and 3.1 Gy for the DVH parameter addition, full DIR addition and partial DIR addition, respectively. The AUCs of ${D}_{2{cm}^3}$ were 0.51, 0.67 and 0.57 for DVH parameter addition, full DIR addition and partial DIR addition, respectively. In full DIR addition, the difference in dose between toxicity and non-toxicity was the largest and AUC was the highest. AUCs of V50, V60 and V70 Gy were 0.51, 0.63 and 0.62, respectively, and V60 and V70 were high values close to the value of ${D}_{2{cm}^3}$ of the full DIR addition. Our results suggested that the full DIR addition may have the potential to predict toxicity more accurately than the conventional DVH parameter addition, and that it could be more effective to accumulate to all pelvic irradiation by DIR.
The Long-Term Recovery of Parotid Glands in Nasopharyngeal Carcinoma Treated by Intensity-Modulated Radiotherapy. International-journal

Shun Tasaka, Keiichi Jingu, Noriyoshi Takahashi, Rei Umezawa, Takaya Yamamoto, Yojiro Ishikawa, Kazuya Takeda, Yu Suzuki, Noriyuki Kadoya

Frontiers in oncology　11　665837-665837　2021

DOI： 10.3389/fonc.2021.665837 　

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Background: Xerostomia is one of the most common adverse events of radiotherapy in head and neck cancer patients. There have been many reports on functional changes of the parotid gland after radiation therapy, but there have been few reports on the volume of the parotid gland and its relationship with oral quality of life (QOL) and even fewer reports on longitudinal change of the parotid gland volume. The purpose of this study was to evaluate the long-term change of the parotid gland volume after intensity-modulated radiotherapy (IMRT) for nasopharyngeal carcinoma and the relationship between parotid irradiation dose and xerostomia symptoms. Methods: We retrospectively analyzed 26 patients with nasopharyngeal cancer treated by IMRT. Longitudinal changes of parotid gland volumes after IMRT were evaluated on CT images. The parotid gland volumes in each period were converted to the ratio to parotid gland volumes before radiotherapy (relative parotid volume). Dunnett's test was used to evaluate the longitudinal changes in relative parotid volumes at 0-6, 7-18, 19-30, 31-42, 43-54 and 55-66 months after IMRT. We assessed xerostomia 3 years or more after IMRT by measuring the degree of oral moisture using a moisture-checking device (Mucus, Life Co., Ltd.) and oral QOL evaluation by GOHAI (General Oral Health Assessment Index). Results: The relative parotid volumes during radiotherapy and at 0-6, 7-18, 19-30, 31-42, 43-54 and 55-66 months after IMRT were 75.2 ± 14.3%, 67.2 ± 11.4%, 68.5 ± 15.9%, 72.4 ± 14.8%, 73.0 ± 13.8%, 76.2 ± 17.5%, and 77.1% ± 17.3%, respectively. The parotid volume had recovered significantly at 43-54 and 55-66 months after IMRT, especially in parotids receiving less than 40 Gy as the mean dose. The mean irradiated dose for bilateral parotids showed negative correlations with oral QOL score and oral moisture after a long period. Conclusions: The parotid volume recovered gradually but had not reached a plateau even 3 years after radiotherapy, especially in parotids receiving less than 40 Gy as the mean dose.
Dose distribution correction for the influence of magnetic field using a deep convolutional neural network for online MR-guided adaptive radiotherapy. International-journal

Tomohiro Kajikawa, Noriyuki Kadoya, Shohei Tanaka, Hikaru Nemoto, Noriyoshi Takahashi, Takahito Chiba, Kengo Ito, Yoshiyuki Katsuta, Suguru Dobashi, Ken Takeda, Kei Yamada, Keiichi Jingu

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)　80　186-192　2020/12

DOI： 10.1016/j.ejmp.2020.11.002 　

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PURPOSE: This study aimed to develop a deep convolutional neural network (CNN)-based dose distribution conversion approach for the correction of the influence of a magnetic field for online MR-guided adaptive radiotherapy. METHODS: Our model is based on DenseNet and consists of two 2D input channels and one 2D output channel. These three types of data comprise dose distributions without a magnetic field (uncorrected), electron density (ED) maps, and dose distributions with a magnetic field. These data were generated as follows: both types of dose distributions were created using 15-field IMRT in the same conditions except for the presence or absence of a magnetic field with the GPU Monte Carlo dose in Monaco version 5.4; ED maps were acquired with planning CT images using a clinical CT-to-ED table at our institution. Data for 50 prostate cancer patients were used; 30 patients were allocated for training, 10 for validation, and 10 for testing using 4-fold cross-validation based on rectum gas volume. The accuracy of the model was evaluated by comparing 2D gamma-indexes against the dose distributions in each irradiation field with a magnetic field (true). RESULTS: The gamma indexes in the body for CNN-corrected uncorrected dose against the true dose were 94.95% ± 4.69% and 63.19% ± 3.63%, respectively. The gamma indexes with 2%/2-mm criteria were improved by 10% in most test cases (99.36%). CONCLUSIONS: Our results suggest that the CNN-based approach can be used to correct the dose-distribution influences with a magnetic field in prostate cancer treatment.
Development of a dynamic deformable thorax phantom for the quality management of deformable image registration. International-journal Peer-reviewed

Yasuharu Sugawara, Noriyuki Kadoya, Kazuki Kotabe, Yujiro Nakajima, Ryutaro Ikeda, Shunpei Tanabe, Haruna Ohashi, Keiichi Jingu

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)　77　100-107　2020/09
Publisher: Elsevier BV
DOI： 10.1016/j.ejmp.2020.08.007 　

ISSN： 1120-1797

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The purpose of this study was to develop a novel dynamic deformable thorax phantom for deformable image registration (DIR) quality assurance (QA) and to verify as a tool for commissioning and DIR QA. The phantom consists of a base phantom, an inner phantom, and a motor-derived piston. The base phantom is an acrylic cylinder phantom with a diameter of 180 mm. The inner phantom consists of deformable, 20 mm thick disk-shaped sponges. To evaluate the physical characteristics of the phantom, we evaluated its image quality and deformation. DIR accuracies were evaluated using the three types of commercially DIR software (MIM, RayStation, and Velocity AI) to test the feasibility of this phantom. We used different DIR parameters to test the impact of parameters on DIR accuracy in various phantom settings. To evaluate DIR accuracy, a target registration error (TRE) was calculated using the anatomical landmark points. The three locations (i.e., distal, middle, and proximal positions) had different displacement amounts. This result indicated that the inner phantom was not moved but deformed. In cases with different phantom settings and marker settings, the ranges of the average TRE were 0.63-15.60 mm (MIM). In cases with different DIR parameters settings, the ranges of the average TRE were as follows: 0.73-7.10 mm (MIM), 8.25-8.66 mm (RayStation), and 8.26-8.43 mm (Velocity). These results suggest that our phantom could evaluate the detailed DIR behaviors with TRE. Therefore, this is indicative of the potential usefulness of our phantom in DIR commissioning and QA.
Evaluation of four-dimensional cone beam computed tomography ventilation images acquired with two different linear accelerators at various gantry speeds using a deformable lung phantom. International-journal Peer-reviewed

Noriyuki Kadoya, Hikaru Nemoto, Tomohiro Kajikawa, Yujiro Nakajima, Takayuki Kanai, Yoshiro Ieko, Ryutaro Ikeda, Kiyokazu Sato, Suguru Dobashi, Ken Takeda, Keiichi Jingu

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)　77　75-83　2020/09

DOI： 10.1016/j.ejmp.2020.07.030 　

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We evaluated four-dimensional cone beam computed tomography (4D-CBCT) ventilation images (VICBCT) acquired with two different linear accelerator systems at various gantry speeds using a deformable lung phantom. The 4D-CT and 4D-CBCT scans were performed using a computed tomography (CT) scanner, an X-ray volume imaging system (Elekta XVI) mounted in Versa HD, and an On-Board Imager (OBI) system mounted in TrueBeam. Intensity-based deformable image registration (DIR) was performed between peak-exhale and peak-inhale images. VICBCT- and 4D-CT-based ventilation images (VICT) were derived by DIR using two metrics: one based on the Jacobian determinant and one on changes in the Hounsfield unit (HU). Three different DIR regularization values (λ) were used for VICBCT. Correlations between the VICBCT and VICT values were evaluated using voxel-wise Spearman's rank correlation coefficient (r). In case of both metrics, the Jacobian-based VICBCT with a gantry speed of 0.6 deg/sec in Versa HD showed the highest correlation for all the gantry speeds (e.g., λ = 0.05 and r = 0.68). Thus, the r value of the Jacobian-based VICBCT was greater or equal to that of the HU-based VICBCT. In addition, the ventilation accuracy of VICBCT increased at low gantry speeds. Thus, the image quality of VICBCT was affected by the change in gantry speed in both the imaging systems. Additionally, DIR regularization considerably influenced VICBCT in both the imaging systems. Our results have the potential to assist in designing CBCT protocols, incorporating VICBCT imaging into the functional avoidance planning process.
The impact of 4DCT-ventilation imaging-guided proton therapy on stereotactic body radiotherapy for lung cancer. Peer-reviewed

Yoshiro Ieko, Noriyuki Kadoya, Takayuki Kanai, Yujiro Nakajima, Kazuhiro Arai, Takahiro Kato, Kengo Ito, Yuya Miyasaka, Ken Takeda, Takeo Iwai, Kenji Nemoto, Keiichi Jingu

Radiological physics and technology　13　(3)　230-237　2020/09

DOI： 10.1007/s12194-020-00572-5 　

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Functional lung avoidance during radiotherapy can help reduce pulmonary toxicity. This study assessed the potential impact of four-dimensional computed tomography (4DCT)-ventilation imaging-guided proton radiotherapy (PT) on stereotactic body radiotherapy (SBRT) by comparing it with three-dimensional conformal radiotherapy (3D-CRT) and volumetric modulated arc therapy (VMAT), which employ photon beams. Thirteen lung cancer patients who received SBRT with 3D-CRT were included in the study. 4DCT ventilation was calculated using the patients' 4DCT data, deformable image registration, and a density-change-based algorithm. Three functional treatment plans sparing the functional lung regions were developed for each patient using 3D-CRT, VMAT, and PT. The prescribed doses and dose constraints were based on the Radiation Therapy Oncology Group 0618 protocol. We evaluated the region of interest (ROI) and functional map-based dose-function metrics for 4DCT ventilation and the irradiated dose. Using 3D-CRT, VMAT, and PT, the percentages of the functional lung regions that received ≥ 5 Gy (fV5) were 26.0%, 21.9%, and 10.7%, respectively; the fV10 were 14.4%, 11.4%, and 9.0%, respectively; and fV20 were 6.5%, 6.4%, and 6.6%, respectively, and the functional mean lung doses (fMLD) were 5.6 Gy, 5.2 Gy, and 3.8 Gy, respectively. These results indicated that PT resulted in a significant reduction in fMLD, fV5, and fV10, but not fV20. The use of PT reduced the radiation to highly functional lung regions compared with those for 3D-CRT and VMAT while meeting all dose constraints.
Dose-dependent Radiation-induced Myocardial Damage in Esophageal Cancer Treated with Chemoradiotherapy: A Prospective Cardiac Magnetic Resonance Imaging Study Peer-reviewed

Rei Umezawa, Noriyuki Kadoya, Hideki Ota, Yujiro Nakajima, Masahide Saito, Hidenobu Takagi, Kentaro Takanami, Noriyoshi Takahashi, Yojiro Ishikawa, Takaya Yamamoto, Haruo Matsushita, Ken Takeda, Kei Takase, Keiichi Jingu

Advances in Radiation Oncology　5　(6)　1170-1178　2020/08
Publisher: Elsevier BV
DOI： 10.1016/j.adro.2020.07.012 　

ISSN： 2452-1094
Multi-atlas-based auto-segmentation for prostatic urethra using novel prediction of deformable image registration accuracy. International-journal Peer-reviewed

Hisamichi Takagi, Noriyuki Kadoya, Tomohiro Kajikawa, Shohei Tanaka, Yoshiki Takayama, Takahito Chiba, Kengo Ito, Suguru Dobashi, Ken Takeda, Keiichi Jingu

Medical physics　47　(7)　3023-3031　2020/07

DOI： 10.1002/mp.14154 　

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PURPOSE: Accurate identification of the prostatic urethra and bladder can help determine dosing and evaluate urinary toxicity during intensity-modulated radiation therapy (IMRT) planning in patients with localized prostate cancer. However, it is challenging to locate the prostatic urethra in planning computed tomography (pCT). In the present study, we developed a multiatlas-based auto-segmentation method for prostatic urethra identification using deformable image registration accuracy prediction with machine learning (ML) and assessed its feasibility. METHODS: We examined 120 patients with prostate cancer treated with IMRT. All patients underwent temporary urinary catheter placement for identification and contouring of the prostatic urethra in pCT images (ground truth). Our method comprises the following three steps: (a) select four atlas datasets from the atlas datasets using the deformable image registration (DIR) accuracy prediction model, (b) deform them by structure-based DIR, (3) and propagate urethra contour using displacement vector field calculated by the DIR. In (a), for identifying suitable datasets, we used the trained support vector machine regression (SVR) model and five feature descriptors (e.g., prostate volume) to increase DIR accuracy. This method was trained/validated using 100 patients and performance was evaluated within an independent test set of 20 patients. Fivefold cross-validation was used to optimize the hype parameters of the DIR accuracy prediction model. We assessed the accuracy of our method by comparing it with those of two others: Acostas method-based patient selection (previous study method, by Acosta et al.), and the Waterman's method (defines the prostatic urethra based on the center of the prostate, by Waterman et al.). We used the centerlines distance (CLD) between the ground truth and the predicted prostatic urethra as the evaluation index. RESULTS: The CLD in the entire prostatic urethra was 2.09 ± 0.89 mm (our proposed method), 2.77 ± 0.99 mm (Acosta et al., P = 0.022), and 3.47 ± 1.19 mm (Waterman et al., P < 0.001); our proposed method showed the highest accuracy. In segmented CLD, CLD in the top 1/3 segment was highly improved from that of Waterman et.al. and was slightly improved from that of Acosta et.al., with results of 2.49 ± 1.78 mm (our proposed method), 2.95 ± 1.75 mm (Acosta et al., P = 0.42), and 5.76 ± 3.09 mm (Waterman et al., P < 0.001). CONCLUSIONS: We developed a DIR accuracy prediction model-based multiatlas-based auto-segmentation method for prostatic urethra identification. Our method identified prostatic urethra with mean error of 2.09 mm, likely due to combined effects of SVR model employment in patient selection, modified atlas dataset characteristics and DIR algorithm. Our method has potential utility in prostate cancer IMRT and can replace use of temporary indwelling urinary catheters.
Homology-based radiomic features for prediction of the prognosis of lung cancer based on CT-based radiomics. International-journal Peer-reviewed

Noriyuki Kadoya, Shohei Tanaka, Tomohiro Kajikawa, Shunpei Tanabe, Kota Abe, Yujiro Nakajima, Takaya Yamamoto, Noriyoshi Takahashi, Kazuya Takeda, Suguru Dobashi, Ken Takeda, Kazuaki Nakane, Keiichi Jingu

Medical physics　47　(5)　2197-2205　2020/06

DOI： 10.1002/mp.14104 　

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PURPOSE: Radiomics is a new technique that enables noninvasive prognostic prediction by extracting features from medical images. Homology is a concept used in many branches of algebra and topology that can quantify the contact degree. In the present study, we developed homology-based radiomic features to predict the prognosis of non-small-cell lung cancer (NSCLC) patients and then evaluated the accuracy of this prediction method. METHODS: Four datasets were used: two to provide training and test data and two for the selection of robust radiomic features. All the datasets were downloaded from The Cancer Imaging Archive (TCIA). In two-dimensional cases, the Betti numbers consist of two values: b0 (zero-dimensional Betti number), which is the number of isolated components, and b1 (one-dimensional Betti number), which is the number of one-dimensional or "circular" holes. For homology-based evaluation, computed tomography (CT) images must be converted to binarized images in which each pixel has two possible values: 0 or 1. All CT slices of the gross tumor volume were used for calculating the homology histogram. First, by changing the threshold of the CT value (range: -150 to 300 HU) for all its slices, we developed homology-based histograms for b0 , b1 , and b1 /b0 using binarized images. All histograms were then summed, and the summed histogram was normalized by the number of slices. 144 homology-based radiomic features were defined from the histogram. To compare the standard radiomic features, 107 radiomic features were calculated using the standard radiomics technique. To clarify the prognostic power, the relationship between the values of the homology-based radiomic features and overall survival was evaluated using LASSO Cox regression model and the Kaplan-Meier method. The retained features with nonzero coefficients calculated by the LASSO Cox regression model were used for fitting the regression model. Moreover, these features were then integrated into a radiomics signature. An individualized rad score was calculated from a linear combination of the selected features, which were weighted by their respective coefficients. RESULTS: When the patients in the training and test datasets were stratified into high-risk and low-risk groups according to the rad scores, the overall survival of the groups was significantly different. The C-index values for the homology-based features (rad score), standard features (rad score), and tumor size were 0.625, 0.603, and 0.607, respectively, for the training datasets and 0.689, 0.668, and 0.667 for the test datasets. This result showed that homology-based radiomic features had slightly higher prediction power than the standard radiomic features. CONCLUSIONS: Prediction performance using homology-based radiomic features had a comparable or slightly higher prediction power than standard radiomic features. These findings suggest that homology-based radiomic features may have great potential for improving the prognostic prediction accuracy of CT-based radiomics. In this result, it is noteworthy that there are some limitations.
Clinical experience of pelvic radiotherapy or chemoradiotherapy for postoperative uterine cervical cancer using intensity-modulated radiation therapy. International-journal Peer-reviewed

Takaya Yamamoto, Rei Umezawa, Hideki Tokunaga, Masaki Kubozono, Maiko Kozumi, Noriyoshi Takahashi, Haruo Matsushita, Noriyuki Kadoya, Kengo Ito, Kiyokazu Sato, Keita Tsuji, Muneaki Shimada, Keiichi Jingu

Journal of radiation research　61　(3)　470-478　2020/05/22

DOI： 10.1093/jrr/rraa004 　

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The purpose of this study was to reveal treatment outcomes and toxicity after pelvic intensity-modulated radiotherapy (IMRT) for postoperative uterine cervical cancer of Japanese patients. Consecutive patients who were treated with pelvic IMRT for postoperative cervical cancer in our institute were retrospectively analyzed. Relapse-free survival (RFS) and overall survival (OS) were calculated using the Kaplan-Meier estimator, and log-rank tests were used to compare differences. From the database, 62 patients were identified. The pathology was squamous cell carcinoma in 44 patients and other pathology in 18 patients. Of the 62 patients, 35 had high-risk prognostic factors and 27 patients had intermediate-risk prognostic factors. The prescribed radiation doses were 50 Gy in 25 fractions for 58 patients and 50.4 Gy in 28 fractions for 4 patients. One patient received a vaginal cuff boost. Chemotherapy was administered in 36 patients. During the median follow-up period of 50.9 months, there was no locoregional failure. Six patients in the high-risk group relapsed, but none of the patients in the intermediate-risk group relapsed (P = 0.02). The 3-year OS and RFS rates were 98.2% and 90.9%, respectively. Significant factors related to RFS were squamous cell carcinoma pathology (P = 0.02), pathological T stage (P = 0.04), surgical margin status (P < 0.01) and multiple lymph nodes metastases (P < 0.01). Grade 3 or more toxicity occurred in 6 patients. Four patients had obstruction of the intestine, and 2 patients had stenosis of the urinary tract. In clinical practice, the use of pelvic IMRT for postoperative cervical cancer of Japanese patients showed a low rate of toxicity without decreasing the efficacy.
Error detection using a convolutional neural network with dose difference maps in patient-specific quality assurance for volumetric modulated arc therapy. International-journal Peer-reviewed

Yuto Kimura, Noriyuki Kadoya, Seiji Tomori, Yohei Oku, Keiichi Jingu

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)　73　57-64　2020/05

DOI： 10.1016/j.ejmp.2020.03.022 　

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The aim of this study was to evaluate the use of dose difference maps with a convolutional neural network (CNN) to detect multi-leaf collimator (MLC) positional errors in patient-specific quality assurance for volumetric modulated radiation therapy (VMAT). A cylindrical three-dimensional detector (Delta4, ScandiDos, Uppsala, Sweden) was used to measure 161 beams from 104 clinical prostate VMAT plans. For the simulation used error-free plans plus plans with two types of MLC error were introduced: systematic error and random error. A total of 483 dose distributions in a virtual cylindrical phantom were calculated with a treatment planning system. Dose difference maps were created from two planar dose distributions from the measured and calculated dose distributions, and these were used as the input for the CNN, with 375 datasets assigned for training and 108 datasets assigned for testing. The CNN model had three convolution layers and was trained with five-fold cross-validation. The CNN model classified the error types of the plans as "error-free," "systematic error," or "random error," with an overall accuracy of 0.944. The sensitivity values for the "error-free," "systematic error," and "random error" classifications were 0.889, 1.000, and 0.944, respectively, and the specificity values were 0.986, 0.986, and 0.944, respectively. This approach was superior to those based on gamma analysis. Using dose difference maps with a CNN model may provide an effective solution for detecting MLC errors for patient-specific VMAT quality assurance.
Quantitative analysis of intra-fractional variation in CT-based image guided brachytherapy for cervical cancer patients. International-journal Peer-reviewed

Yuya Miyasaka, Noriyuki Kadoya, Kengo Ito, Rei Umezawa, Masaki Kubozono, Takaya Yamamoto, Yujiro Nakajima, Masahide Saito, Yoshiki Takayama, Kenji Nemoto, Takeo Iwai, Keiichi Jingu

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)　73　164-172　2020/05

DOI： 10.1016/j.ejmp.2020.04.009 　

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We quantified intra-fractional dose variation and organ movement during CT-based 3D-image guided brachytherapy (3D-IGBT) in cervical cancer patients. Fifteen patients who underwent CT-based 3D-IGBT were studied. For all patients, pre-delivery CT for treatment planning after applicator insertion and post-delivery CT after dose delivery without changing the applicator position were acquired. Pre- and post-delivery CT were rigidly fused by matching the inserted applicator and planned dose on pre-delivery CT (pre-delivery dose) was mapped on post-delivery CT (post-delivery dose). D2, D1, and D0.1 cm3 of the rectum and bladder were compared between pre- and post-delivery doses with contours on each CT image. Organ movement and deformation was evaluated using deformation vector fields calculated by deformable image registration between pre- and post-delivery CT. We also evaluated dose variation and DVF between with and without a catheter to control filling. Differences in all DVH parameters were <±3% in physical dose and ± 5% in EQD2. However, a > 15% dose difference was found in 13.8% of the fractions in rectum D2 cm3 and in 11.1% of those in bladder D2 cm3. The mean value of DVF for bladder was larger than that of rectum, especially for the superior-inferior (S-I) direction. Insertion catheters in bladder reduced mean dose and DVF variation compared with that of without catheters. In fraction groups with large dose increasing, DVF in the S-I direction was significantly larger than that of other fraction groups. Our results indicated that preparation is needed to reduce changes in the S-I direction affect dose variation.
The effects of a transverse magnetic field on the dose enhancement of nanoparticles in a proton beam: a Monte Carlo simulation. International-journal Peer-reviewed

Mohammadreza Parishan, Reza Faghihi, Noriyuki Kadoya, Keiichi Jingu

Physics in medicine and biology　65　(8)　085002-085002　2020/04/17

DOI： 10.1088/1361-6560/ab7a70 　

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High-Z nanoparticles (NP) as radio-sensitization agents provide the feasibility of dose localization within the tumor in radiotherapy. Dose enhancement of NPs in the presence of a magnetic field (MF) could be challenged when magnetic resonance imaging (MRI) systems are used as an image-guided system. The MF can influence dose enhancement of NPs at their interfaces and surrounding medium and affect their dose deposition behavior. In the TOPAS Monte Carlo code, gold nanoparticle (GNP) and superparamagnetic iron oxide nanoparticle (SPION) were irradiated using 70 and 150 MeV proton beams, in presence of transverse MF strengths with 0, 1, 3, and 7 T. The changes in the liberated secondary electrons from NPs and their dose enhancement ratio (DER), magnetic dose enhancement ratio (MDER), and angular dose distribution in 10 nm shell thicknesses up to 500 nanometers from their centers were measured. The central plane of NPs was considered as a scorer. Its thickness was 2 nm and divided into 6-degree sectors with 10 nm radial length. The dose deposition in this voxelated scorer was calculated. The values of the deposited doses around NPs decrease rapidly while the DERs resulted from the secondary electrons are increased. MDERs are changed within [Formula: see text] and [Formula: see text] for 20 and 50 nm radius NPs, respectively. The variation in the angular dose distribution around a singular NP was not considerable when different MF strengths were applied. The dose values in the voxelated central plane show very similar results for the same NPs types in the different MF strengths. The typically used MF in the MRI systems would not considerably affect the energy deposition behavior of the secondary electrons produced in the interaction of proton beam with NPs, at least in the near vicinity of NPs. The DERs of NPs in a water medium resulted from emerged secondary electrons, experience a low degree of perturbation in the presence of an MF. The results of this study show that the NPs as dose enhancement agents can also be used in an MF without pronounced modification in their efficacy.
Variations between dose-ventilation and dose-perfusion metrics in radiotherapy planning for lung cancer Peer-reviewed

Nakajima Y, Kadoya N, Kimura T, Hioki K, Jingu K, Yamamoto T

Advances in Radiation Oncology　2020/03/20
Evaluation of the effect of user-guided deformable image registration of thoracic images on registration accuracy among users. International-journal Peer-reviewed

Yujiro Nakajima, Noriyuki Kadoya, Takayuki Kanai, Masahide Saito, Satoshi Kito, Shimpei Hashimoto, Katsuyuki Karasawa, Keiichi Jingu

Medical dosimetry : official journal of the American Association of Medical Dosimetrists　2020/01/31

DOI： 10.1016/j.meddos.2019.12.004 　

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User-guided deformable image registration (DIR) has allowed users to actively participate in the DIR process and is expected to improve DIR accuracy. The purpose of this study was to evaluate the time required for and effect of user-guided DIR on registration accuracy for thoracic images among users. In this study, 4-dimensional computed tomographic images of 10 thoracic cancer patients were used. The dataset for these patients was provided by DIR-Lab (www.dir-lab.com) and included a coordinate list of anatomical landmarks (300 bronchial bifurcations). Four medical physicists from different institutions performed DIR between peak-inhale and peak-exhale images with/without the user-guided DIR tool, Reg Refine, implemented in MIM Maestro (MIM software, Cleveland, OH). DIR accuracy was quantified by using target registration errors (TREs) for 300 anatomical landmarks in each patient. The average TREs with user-guided DIR in the 10 images by the 4 medical physicists were 1.48, 1.80, 3.46, and 3.55 mm, respectively, whereas the TREs without user-guided DIR were 3.28, 3.45, 3.56, and 3.28 mm, respectively. The average times taken by the 4 physicists to use the user-guided DIR were 10.0, 6.7, 7.1, and 8.0 min, respectively. This study demonstrated that user-guided DIR can improve DIR accuracy and requires only a moderate amount of time (<10 min). However, 2 of the 4 users did not show much improvement in DIR accuracy, which indicated the necessity of training prior to use of user-guided DIR.
Evaluation of a 3D-printed heterogeneous anthropomorphic head and neck phantom for patient-specific quality assurance in intensity modulated radiation therapy

KADOYA Noriyuki, ABE Kota, NEMOTO Hikaru, SATO Kiyokazu, IEKO Yoshiro, ITO Kengo, DOBASHI Suguru, TAKEDA Ken, JINGU Keiichi

Japanese Journal of Medical Physics (Igakubutsuri)　40　(3)　109-109　2020
Publisher: Japan Society of Medical Physics
DOI： 10.11323/jjmp.40.3_109 　

ISSN： 1345-5354
A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients. International-journal Peer-reviewed

Tomohiro Kajikawa, Noriyuki Kadoya, Kengo Ito, Yoshiki Takayama, Takahito Chiba, Seiji Tomori, Hikaru Nemoto, Suguru Dobashi, Ken Takeda, Keiichi Jingu

Journal of radiation research　60　(5)　685-693　2019/10/23

DOI： 10.1093/jrr/rrz051 　

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The purpose of the study was to compare a 3D convolutional neural network (CNN) with the conventional machine learning method for predicting intensity-modulated radiation therapy (IMRT) dose distribution using only contours in prostate cancer. In this study, which included 95 IMRT-treated prostate cancer patients with available dose distributions and contours for planning target volume (PTVs) and organs at risk (OARs), a supervised-learning approach was used for training, where the dose for a voxel set in the dataset was defined as the label. The adaptive moment estimation algorithm was employed for optimizing a 3D U-net similar network. Eighty cases were used for the training and validation set in 5-fold cross-validation, and the remaining 15 cases were used as the test set. The predicted dose distributions were compared with the clinical dose distributions, and the model performance was evaluated by comparison with RapidPlan™. Dose-volume histogram (DVH) parameters were calculated for each contour as evaluation indexes. The mean absolute errors (MAE) with one standard deviation (1SD) between the clinical and CNN-predicted doses were 1.10% ± 0.64%, 2.50% ± 1.17%, 2.04% ± 1.40%, and 2.08% ± 1.99% for D2, D98 in PTV-1 and V65 in rectum and V65 in bladder, respectively, whereas the MAEs with 1SD between the clinical and the RapidPlan™-generated doses were 1.01% ± 0.66%, 2.15% ± 1.25%, 5.34% ± 2.13% and 3.04% ± 1.79%, respectively. Our CNN model could predict dose distributions that were superior or comparable with that generated by RapidPlan™, suggesting the potential of CNN in dose distribution prediction.
Evaluation of a 3D-printed heterogeneous anthropomorphic head and neck phantom for patient-specific quality assurance in intensity-modulated radiation therapy. Peer-reviewed

Noriyuki Kadoya, Kota Abe, Hikaru Nemoto, Kiyokazu Sato, Yoshiro Ieko, Kengo Ito, Suguru Dobashi, Ken Takeda, Keiichi Jingu

Radiological physics and technology　12　(3)　351-356　2019/09

DOI： 10.1007/s12194-019-00527-5 　

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We evaluated an anthropomorphic head and neck phantom with tissue heterogeneity, produced using a personal 3D printer, with quality assurance (QA), specific to patients undergoing intensity-modulated radiation therapy (IMRT). Using semi-automatic segmentation, 3D models of bone, soft tissue, and an air-filled cavity were created based on computed tomography (CT) images from patients with head and neck cancer treated with IMRT. For the 3D printer settings, polylactide was used for soft tissue with 100% infill. Bone was reproduced by pouring plaster into the cavity created by the 3D printer. The average CT values for soft tissue and bone were 13.0 ± 144.3 HU and 439.5 ± 137.0 HU, respectively, for the phantom and 12.1 ± 124.5 HU and 771.5 ± 405.3 HU, respectively, for the patient. The gamma passing rate (3%/3 mm) was 96.1% for a nine-field IMRT plan. Thus, this phantom may be used instead of a standard shape phantom for patient-specific QA in IMRT.
FDG-PET might not contribute to improving survival in patients with locally advanced inoperable esophageal cancer. Peer-reviewed

Keiichi Jingu, Rei Umezawa, Takaya Yamamoto, Kazuya Takeda, Yojiro Ishikawa, Noriyoshi Takahashi, Noriyuki Kadoya, Haruo Matsushita

International journal of clinical oncology　24　(8)　927-933　2019/08

DOI： 10.1007/s10147-019-01428-8 　

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BACKGROUND: In Japan, positron emission tomography using 18F-fluorodeoxyglucose (FDG-PET) has been covered by the national health insurance for esophageal cancer since 2006. FDG-PET is commonly performed in advanced esophageal cancer. The aim of this study was to determine the effect of FDG-PET on survival in patients with locally advanced inoperable esophageal cancer. METHODS: We retrospectively reviewed all patients with cT4 and without M1 esophageal cancer on CT in our institution between 2000 and 2014, and data for 78 patients who meet the eligibility criteria described below were used for analysis in this study. The eligibility criteria included (1) cT4 esophageal cancer without distant metastases or M1 lymph node metastasis (UICC 2002), (2) histologically proven squamous cell carcinoma, (3) 20-79 years of age, (4) having undergone at least 1 cycle of concomitant chemotherapy, (5) having been irradiated with 50 Gy or more, and (6) no other active malignant tumor during treatment. RESULTS: Two patients were excluded because abdominal lymph node metastases or neck lymph node metastases were detected by FDG-PET. In 78 eligible patients, FDG-PET was not performed before treatment in 41 of the 78 patients and was performed in the other patients. The median observation period was 68 months. The 3-year and 5-year overall survival rates in 78 patients were 36.9% and 30.8%, respectively. There was no significant difference in overall survival or progression-free survival between patients in whom FDG-PET was performed and those in whom FDG-PET was not performed (12.0 months vs. 11.0 months, p = 0.920 and 6.0 months vs. 6.0 months, p = 0.844, respectively). CONCLUSIONS: Compared with only CT, additional information from FDG-PET is not associated with improving survival in patients with locally advanced esophageal cancer. Our results suggest that FDG-PET might not have much meaning for survival in locally advanced esophageal cancer.
Factual survey of the clinical use of deformable image registration software for radiotherapy in Japan. International-journal Peer-reviewed

Noriyuki Kadoya, Satoshi Kito, Masahiko Kurooka, Masahide Saito, Akihiro Takemura, Naoki Tohyama, Masahide Tominaga, Yujiro Nakajima, Yukio Fujita, Yuki Miyabe

Journal of radiation research　60　(4)　546-553　2019/07/01

DOI： 10.1093/jrr/rrz034 　

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Deformable image registration (DIR) has recently become commercially available in the field of radiotherapy. However, there was no detailed information regarding the use of DIR software at each medical institution. Thus, in this study, we surveyed the status of the clinical use of DIR software for radiotherapy in Japan. The Japan Society of Medical Physics and the Japanese Society for Radiation Oncology mailing lists were used to announce this survey. The questionnaire was created by investigators working under the research grant of the Japanese Society for Radiation Oncology (2017-2018) and intended for the collection of information regarding the use of DIR in radiotherapy. The survey was completed by 161 institutions in Japan. The survey results showed that dose accumulation was the most frequent purpose for which DIR was used in clinical practice (73%). Various commissioning methods were performed, although they were not standardized. Qualitative evaluation with actual patient images was the most commonly used method (28%), although 30% of the total number of responses (42% of institutions) reported that they do not perform commissioning. We surveyed the current status of clinical use of DIR software for radiotherapy in Japan for the first time. Our results indicated that a certain number of institutions used DIR software for clinical practice, and various commissioning methods were performed, although they were not standardized. Taken together, these findings highlight the need for a technically unified approach for commissioning and quality assurance for the use of DIR software in Japan.
EP-1523 Predictors of severe late urinary toxicity after curative radiotherapy for localised prostatecancer Peer-reviewed

K. Takeda, Y. Takayama, N. Kadoya, H. Takagi, K. Ito, T. Chiba, K. Sato, S. Dobashi, R. Umezawa, T. Yamamoto, Y. Ishikawa, K. Takeda, H. Matsushita, Y. Kawasaki, K. Mitsuduka, K. Jingu

Radiotherapy and Oncology　133　(supplement 1)　S823-S824　2019/04
Publisher: Elsevier BV
DOI： 10.1016/s0167-8140(19)31943-7 　

ISSN： 0167-8140
The VAMPIRE challenge: A multi-institutional validation study of CT ventilation imaging. International-journal Peer-reviewed

John Kipritidis, Bilal A Tahir, Guillaume Cazoulat, Michael S Hofman, Shankar Siva, Jason Callahan, Nicholas Hardcastle, Tokihiro Yamamoto, Gary E Christensen, Joseph M Reinhardt, Noriyuki Kadoya, Taylor J Patton, Sarah E Gerard, Isabella Duarte, Ben Archibald-Heeren, Mikel Byrne, Rick Sims, Scott Ramsay, Jeremy T Booth, Enid Eslick, Fiona Hegi-Johnson, Henry C Woodruff, Rob H Ireland, Jim M Wild, Jing Cai, John E Bayouth, Kristy Brock, Paul J Keall

Medical physics　46　(3)　1198-1217　2019/03

DOI： 10.1002/mp.13346 　

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PURPOSE: CT ventilation imaging (CTVI) is being used to achieve functional avoidance lung cancer radiation therapy in three clinical trials (NCT02528942, NCT02308709, NCT02843568). To address the need for common CTVI validation tools, we have built the Ventilation And Medical Pulmonary Image Registration Evaluation (VAMPIRE) Dataset, and present the results of the first VAMPIRE Challenge to compare relative ventilation distributions between different CTVI algorithms and other established ventilation imaging modalities. METHODS: The VAMPIRE Dataset includes 50 pairs of 4DCT scans and corresponding clinical or experimental ventilation scans, referred to as reference ventilation images (RefVIs). The dataset includes 25 humans imaged with Galligas 4DPET/CT, 21 humans imaged with DTPA-SPECT, and 4 sheep imaged with Xenon-CT. For the VAMPIRE Challenge, 16 subjects were allocated to a training group (with RefVI provided) and 34 subjects were allocated to a validation group (with RefVI blinded). Seven research groups downloaded the Challenge dataset and uploaded CTVIs based on deformable image registration (DIR) between the 4DCT inhale/exhale phases. Participants used DIR methods broadly classified into B-splines, Free-form, Diffeomorphisms, or Biomechanical modeling, with CT ventilation metrics based on the DIR evaluation of volume change, Hounsfield Unit change, or various hybrid approaches. All CTVIs were evaluated against the corresponding RefVI using the voxel-wise Spearman coefficient r S , and Dice similarity coefficients evaluated for low function lung ( DSC low ) and high function lung ( DSC high ). RESULTS: A total of 37 unique combinations of DIR method and CT ventilation metric were either submitted by participants directly or derived from participant-submitted DIR motion fields using the in-house software, VESPIR. The r S and DSC results reveal a high degree of inter-algorithm and intersubject variability among the validation subjects, with algorithm rankings changing by up to ten positions depending on the choice of evaluation metric. The algorithm with the highest overall cross-modality correlations used a biomechanical model-based DIR with a hybrid ventilation metric, achieving a median (range) of 0.49 (0.27-0.73) for r S , 0.52 (0.36-0.67) for DSC low , and 0.45 (0.28-0.62) for DSC high . All other algorithms exhibited at least one negative r S value, and/or one DSC value less than 0.5. CONCLUSIONS: The VAMPIRE Challenge results demonstrate that the cross-modality correlation between CTVIs and the RefVIs varies not only with the choice of CTVI algorithm but also with the choice of RefVI modality, imaging subject, and the evaluation metric used to compare relative ventilation distributions. This variability may arise from the fact that each of the different CTVI algorithms and RefVI modalities provides a distinct physiologic measurement. Ultimately this variability, coupled with the lack of a "gold standard," highlights the ongoing importance of further validation studies before CTVI can be widely translated from academic centers to the clinic. It is hoped that the information gleaned from the VAMPIRE Challenge can help inform future validation efforts.
Automated noncoplanar treatment planning strategy in stereotactic radiosurgery of multiple cranial metastases: HyperArc and CyberKnife dose distributions. Peer-reviewed

Kadoya N, Abe Y, Kajikawa T, Ito K, Yamamoto T, Umezawa R, Chiba T, Katsuta Y, Takayama Y, Kato T, Kikuchi Y, Jingu K

Medical dosimetry : official journal of the American Association of Medical Dosimetrists　2019/02

DOI： 10.1016/j.meddos.2019.02.004 　

ISSN： 0958-3947
Energy dependence of a radiophotoluminescent glass dosimeter for HDR 192 Ir brachytherapy source. International-journal Peer-reviewed

Shimpei Hashimoto, Yujiro Nakajima, Noriyuki Kadoya, Kota Abe, Katsuyuki Karasawa

Medical physics　46　(2)　964-972　2019/02

DOI： 10.1002/mp.13319 　

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PURPOSE: We determined correction factors for absorbed dose energy dependence and intrinsic energy dependence for measurements of absorbed dose to water around an 192 Ir source using a radiophotoluminescent glass dosimeter (RPLD) calibrated with a 4-MV photon beam. METHODS: The ratio of the absorbed dose to the water and the average absorbed dose to RPLD for the 192 Ir beam relative to the same ratio in a 4 MV photon beam defines the absorbed dose energy dependence and was determined at distances of 2-10 cm (at intervals of 1 cm) from the 192 Ir source in a water phantom using the egs_chamber user code. The RPLD was calibrated to measure absorbed dose to water, Dw , in a 4 MV photon beam using an ionization chamber, which was also used to measure absorbed dose to water, Dw , in a water phantom using the 192 Ir source. The detector response radiophotoluminescence (RPL signal per average absorbed dose in the detector) in the 192 Ir beam relative to that in the 4 MV photon beam (the relative intrinsic efficiency) was determined experimentally. Finally, the beam quality correction factor was obtained as the quotient between the absorbed dose energy dependence and the relative intrinsic efficiency and corrects for the difference between the beam quality Q0 used at calibration and the beam quality Q used in the measurements. RESULTS: The relative dose ratio of the average absorbed dose to water relative to RPLD ranged from 0.930 to 0.746, and the beam quality correction factor ranged from 0.999 to 0.794 for distances of 2-10 cm from the 192 Ir source. The relative detector response to an 192 Ir source and a 4-MV photon beam was 0.930, and it did not vary significantly with distance. CONCLUSIONS: These results demonstrate that corrections for absorbed dose energy dependence and intrinsic energy dependence are required when using an RPLD to measure with sources different from the reference source providing the primary calibration.
Investigation of thoracic four-dimensional CT-based dimension reduction technique for extracting the robust radiomic features. International-journal Peer-reviewed

Shohei Tanaka, Noriyuki Kadoya, Tomohiro Kajikawa, Shohei Matsuda, Suguru Dobashi, Ken Takeda, Keiichi Jingu

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)　58　141-148　2019/02

DOI： 10.1016/j.ejmp.2019.02.009 　

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Robust feature selection in radiomic analysis is often implemented using the RIDER test-retest datasets. However, the CT Protocol between the facility and test-retest datasets are different. Therefore, we investigated possibility to select robust features using thoracic four-dimensional CT (4D-CT) scans that are available from patients receiving radiation therapy. In 4D-CT datasets of 14 lung cancer patients who underwent stereotactic body radiotherapy (SBRT) and 14 test-retest datasets of non-small cell lung cancer (NSCLC), 1170 radiomic features (shape: n = 16, statistics: n = 32, texture: n = 1122) were extracted. A concordance correlation coefficient (CCC) > 0.85 was used to select robust features. We compared the robust features in various 4D-CT group with those in test-retest. The total number of robust features was a range between 846/1170 (72%) and 970/1170 (83%) in all 4D-CT groups with three breathing phases (40%-60%); however, that was a range between 44/1170 (4%) and 476/1170 (41%) in all 4D-CT groups with 10 breathing phases. In test-retest, the total number of robust features was 967/1170 (83%); thus, the number of robust features in 4D-CT was almost equal to that in test-retest by using 40-60% breathing phases. In 4D-CT, respiratory motion is a factor that greatly affects the robustness of features, thus by using only 40-60% breathing phases, excessive dimension reduction will be able to be prevented in any 4D-CT datasets, and select robust features suitable for CT protocol of your own facility.
Correction: Evaluation of lung toxicity risk with computed tomography ventilation image for thoracic cancer patients. Peer-reviewed

Otsuka M, Monzen H, Matsumoto K, Tamura M, Inada M, Kadoya N, Nishimura Y

PloS one　14　(11)　e0225965　2019

DOI： 10.1371/journal.pone.0225965 　
Hypofractionated Radiotherapy for Anaplastic Thyroid Carcinoma: 15 Years of Experience in a Single Institution. International-journal Peer-reviewed

Noriyoshi Takahashi, Haruo Matsushita, Rei Umezawa, Takaya Yamamoto, Yojiro Ishikawa, Yu Katagiri, Shun Tasaka, Kazuya Takeda, Katsuya Fukui, Noriyuki Kadoya, Kengo Ito, Keiichi Jingu

European thyroid journal　8　(1)　24-30　2019/01

DOI： 10.1159/000493315 　

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Background: Anaplastic thyroid carcinoma (ATC) is a rare cancer and has a poor prognosis. Several radiation protocols have been reported, but the results were not satisfactory. Objective: The aim of this study was to determine the effect of hypofractionated radiotherapy. Methods: Thirty-three patients who received radiotherapy for ATC between January 2000 and December 2014 were retrospectively included. We defined hypofractionated radiotherapy as a single dose ≥5 Gy. Results: Nineteen patients were treated with hypofractionated radiotherapy. Twenty-eight patients died, and 27 of those patients died from ATC. Sixteen patients died from distant metastasis and 6 from local recurrence. In the hypofractionated radiotherapy group, local recurrence occurred in 5 patients and 1 of them died from active bleeding from a local tumor. There was local recurrence in 7 patients who received the other protocol, and 5 of them died from asphyxiation, active bleeding, or uncontrollable growth of a local tumor on the neck. The median overall survival (OS) was 5 months. In multivariate analysis, patients who received an equivalent dose in 2-Gy fractions (EQD2) ≥50 Gy had significantly better OS (p = 0.016). In univariate analysis, patients who received hypofractionated radiotherapy did not have significantly better OS (p = 0.872) or local control (p = 0.090). The χ2 test showed that significantly fewer patients died from local recurrence in the hypofractionated radiotherapy group (p = 0.025). Conclusions: Multivariate analysis showed that an EQD2 ≥50 Gy resulted in better OS, and hypofractionated radiotherapy decreased the rate of mortality from local recurrence.
[Deformable Image Registration and Auto-Segmentation for Various Medical Imaging Types]. Peer-reviewed

Noriyuki Kadoya

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics　39　(1)　12-19　2019

DOI： 10.11323/jjmp.39.1_12 　

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Current status of deformable image registration (DIR) and auto-segmentation for various medical imaging types (e.g., CT, MR, and CBCT) is reported. First, we introduce the advantage/disadvantage of DIR between (1) CT and CT, (2) CT and CBCT, (3) MR and MR, and (4) CT and MR. Next, we explain an atlas-based segmentation. Our explanation about DIR and auto-segmentation will help for understanding DIR technique.
[Field Shape Optimization Technique Based on Dose Volume Histogram Using Daily Cone-beam Computed Tomography in Three-dimensional Conformal Radiation Therapy for Localized Prostate Cancer: Develop and Evaluation]. Peer-reviewed

Yuto Kimura, Suguru Dobashi, Yoshiki Ishizawa, Noriyuki Kadoya, Kengo Ito, Takahito Chiba, Yoshiki Takayama, Kiyokazu Sato, Haruo Matsushita, Keiichi Jingu, Ken Takeda

Nihon Hoshasen Gijutsu Gakkai zasshi　74　(12)　1396-1405　2018/12

DOI： 10.6009/jjrt.2018_JSRT_74.12.1396 　

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This study aimed to develop and evaluate field shape optimization technique based on dose calculation using daily cone-beam computed tomography (CBCT) to compensate for interfractional anatomic changes in three-dimensional conformal radiation therapy (3D-CRT) for prostate cancer. For each of 10 patients, 9-10 CBCT images were obtained throughout the treatment course. The prostate, seminal vesicles, and rectum were manually contoured in all CBCT images. Subsequently, plan adaptation was performed with a program developed in-house. This program calculates dose distributions on CBCT images and optimizes field shape to minimize rectal dose while keeping the target at the optimal dose coverage (the planning target volume D95% receives 95% of the prescription dose). To evaluate the adaptive planning approach, we re-calculated dose distributions on CBCT images based on the conventional and adaptive plans. For the entire cohort, plan adaptation improved rectal V50 Gy, V60 Gy, V65 Gy, and V70 Gy by -7.71±8.43%, -8.30±8.90%, -7.91±8.51% and -7.03±7.70% on average (±SD), respectively. Our results demonstrate that adaptive planning approach is superior to the conventional planning approach for optimizing dose distribution, and this adaptive approach can optimize field shape in 3 min. The proposed approach can be an effective solution for the problem of interfractional anatomic changes in 3D-CRT for prostate cancer.
Left Ventricular T1 Mapping during Chemotherapy-Radiation Therapy: Serial Assessment of Participants with Esophageal Cancer. International-journal Peer-reviewed

Hidenobu Takagi, Hideki Ota, Rei Umezawa, Tomoyoshi Kimura, Noriyuki Kadoya, Satoshi Higuchi, Wenyu Sun, Yujiro Nakajima, Masahide Saito, Yoshiaki Komori, Keiichi Jingu, Kei Takase

Radiology　289　(2)　347-354　2018/11

DOI： 10.1148/radiol.2018172076 　

ISSN： 0033-8419

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Purpose To assess changes in left ventricular function and tissue composition by using MRI after chemotherapy-radiation therapy in participants with esophageal cancer. Materials and Methods Between January 2013 and April 2015, this prospective study enrolled 24 participants (42% women; mean age, 63 years; range, 49-73 years) scheduled for chemotherapy-radiation therapy. 3.0-T MRI examinations were performed before, at 0.5 year, and at 1.5 years after chemotherapy-radiation therapy. Myocardial native T1, postcontrast T1, and extracellular volume were measured in basal septum (as irradiated areas) and apical lateral wall (as nonirradiated areas). Left ventricular function, prevalence of late gadolinium enhancement, and T1 and extracellular volume values were compared over the follow-up period by using Friedman or Cochran Q tests, followed by Dunn test. Results In 14 participants who were followed up for 1.5 years, native T1 and extracellular volume in the septum were elevated at 0.5 year compared with baseline (1183 msec ± 46 [standard deviation] vs 1257 msec ± 35; 26% ± 3 vs 32% ± 3; adjusted P < .01 for both), but not in the lateral wall. Left ventricular stroke volume index and late gadolinium enhancement changed at 1.5 years compared with baseline (41 mL/m2 ± 11 vs 36 mL/m2 ± 9; P = .046; 7% [one of 14] vs 78% [11 of 14]; P < .01). Other measures of left ventricular function did not change during the follow-up period (P > .10 for all). Conclusion Native T1 and extracellular volume could detect early changes in myocardium at 0.5 year after chemotherapy-radiation therapy, whereas left ventricular stroke volume index and late gadolinium enhancement showed abnormality at 1.5 years. © RSNA, 2018 Online supplemental material is available for this article.
Single fraction computed tomography-guided high-dose-rate brachytherapy or stereotactic body radiotherapy for primary and metastatic lung tumors? International-journal Peer-reviewed

Mark Kh Chan, Venus Wy Lee, Noriyuki Kadoya, Chi-Leung Chiang, Matthew Yp Wong, Ronnie Wk Leung, Steven Cheung, Oliver Blanck

Journal of contemporary brachytherapy　10　(5)　446-453　2018/10

DOI： 10.5114/jcb.2018.79335 　

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Purpose: To provide a pilot dosimetric study of computed tomography (CT)-guided high-dose-rate (HDR) brachytherapy (BRT) and stereotactic body radiotherapy (SBRT) for primary and metastatic lung lesions. Material and methods: For nine lung primary and metastasis patients, 3D image-based BRT plan using a single virtual catheter was planned for 34 Gy in single fraction to the gross tumor volume (GTV) + 3 mm margin to account for tumor deformation. These plans were compared to margin-based (MB-) and robustness optimized (RO-) SBRT, assuming the same tumor deformation under real-time tumor tracking. Consistent dose calculation was ensured for both BRT and SBRT plans using the same class of collapsed cone convolution superposition algorithm. Plan quality metrics were compared by Friedman tests and Wilcoxon t-tests. Results and Conclusions: Brachytherapy plans showed significant higher GTV mean dose compared to MB- and RO-SBRT (122.2 Gy vs. 50.4 and 44.7 Gy, p < 0.05), and better dose gradient index (R50) = 2.9 vs. 4.3 and 8.4 for MB- and RO-SBRT, respectively. Dose constraints per the RTOG 0915 protocol were achieved for all critical organs except chest wall in BRT. All other dose-volume histograms (DVH) metrics are comparable between BRT and SBRT. Treatment delivery time of BRT and SBRT plans significantly increased and decreased with increasing GTV size, respectively. SBRT using advanced MLC tracking technique and non-coplanar VMAT can achieve comparable dosimetric quality to HDR BRT. Whether or not, the significantly higher GTV dose can increase killing of radioresistant tumor cells and offset the effect of tumor reoxygenation in single fraction BRT, requires further clinical investigation.
Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network. Peer-reviewed

Tomohiro Kajikawa, Noriyuki Kadoya, Kengo Ito, Yoshiki Takayama, Takahito Chiba, Seiji Tomori, Ken Takeda, Keiichi Jingu

Radiological physics and technology　11　(3)　320-327　2018/09

DOI： 10.1007/s12194-018-0472-3 　

ISSN： 1865-0333

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The quality of radiotherapy has greatly improved due to the high precision achieved by intensity-modulated radiation therapy (IMRT). Studies have been conducted to increase the quality of planning and reduce the costs associated with planning through automated planning method; however, few studies have used the deep learning method for optimization of planning. The purpose of this study was to propose an automated method based on a convolutional neural network (CNN) for predicting the dosimetric eligibility of patients with prostate cancer undergoing IMRT. Sixty patients with prostate cancer who underwent IMRT were included in the study. Treatment strategy involved division of the patients into two groups, namely, meeting all dose constraints and not meeting all dose constraints, by experienced medical physicists. We used AlexNet (i.e., one of common CNN architectures) for CNN-based methods to predict the two groups. An AlexNet CNN pre-trained on ImageNet was fine-tuned. Two dataset formats were used as input data: planning computed tomography (CT) images and structure labels. Five-fold cross-validation was used, and performance metrics included sensitivity, specificity, and prediction accuracy. Class activation mapping was used to visualize the internal representation learned by the CNN. Prediction accuracies of the model with the planning CT image dataset and that with the structure label dataset were 56.7 ± 9.7% and 70.0 ± 11.3%, respectively. Moreover, the model with structure labels focused on areas associated with dose constraints. These results revealed the potential applicability of deep learning to the treatment planning of patients with prostate cancer undergoing IMRT.
A deep learning-based prediction model for gamma evaluation in patient-specific quality assurance. International-journal Peer-reviewed

Seiji Tomori, Noriyuki Kadoya, Yoshiki Takayama, Tomohiro Kajikawa, Katsumi Shima, Kakutarou Narazaki, Keiichi Jingu

Medical physics　2018/07/31

DOI： 10.1002/mp.13112 　

ISSN： 0094-2405

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PURPOSE: Patient-specific quality assurance (QA) measurement is conducted to confirm the accuracy of dose delivery. However, measurement is time-consuming and places a heavy workload on the medical physicists and radiological technologists. In this study, we proposed a prediction model for gamma evaluation, based on deep learning. We applied the model to a QA measurement dataset of prostate cancer cases to evaluate its practicality. METHODS: Sixty pretreatment verification plans from prostate cancer patients treated using intensity modulated radiation therapy were collected. Fifteen-layer convolutional neural networks (CNN) were developed to learn the sagittal planar dose distributions from a RT-3000 QA phantom (R-TECH.INC., Tokyo, Japan). The percentage gamma passing rate (GPR) was measured using GAFCHROMIC EBT3 film (Ashland Specialty Ingredients, Covington, USA). The input training data also included the volume of the PTV (planning target volume), rectum, and overlapping region, measured in cm3 , and the monitor unit values for each field. The network produced predicted GPR values at four criteria: 2%(global)/2 mm, 3%(global)/2 mm, 2%(global)/3 mm, and 3%(global)/3 mm. Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, was used for learning and for optimizing the CNN-based model. Fivefold cross-validation was applied to validate the performance of the proposed method. Forty cases were used for training and validation set in fivefold cross-validation, and the remaining 20 cases were used for the test set. The predicted and measured GPR values were compared. RESULTS: A linear relationship was found between the measured and predicted values, for each of the four criteria. Spearman rank correlation coefficients in validation set between measured and predicted GPR values at four criteria were 0.73 at 2%/2 mm, 0.72 at 3%/2 mm, 0.74 at 2%/3 mm, and 0.65 at 3%/3 mm, respectively (P < 0.01). The Spearman rank correlation coefficients in the test set were 0.62 (P < 0.01) at 2%/2 mm, 0.56 (P < 0.01) at 3%/2 mm, 0.51 (P = 0.02) at 2%/3 mm, and 0.32 (P = 0.16) at 3%/3 mm. These results demonstrated a strong or moderate correlation between the predicted and measured values. CONCLUSIONS: We developed a CNN-based prediction model for patient-specific QA of dose distribution in prostate treatment. Our results suggest that deep learning may provide a useful prediction model for gamma evaluation of patient-specific QA in prostate treatment planning.
A photon source model based on particle transport in a parameterized accelerator structure for Monte Carlo dose calculations. International-journal Peer-reviewed

Yoshiki Ishizawa, Suguru Dobashi, Noriyuki Kadoya, Kengo Ito, Takahito Chiba, Yoshiki Takayama, Kiyokazu Sato, Ken Takeda

Medical physics　45　(7)　2937-2946　2018/07

DOI： 10.1002/mp.12976 　

ISSN： 0094-2405

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PURPOSE: An accurate source model of a medical linear accelerator is essential for Monte Carlo (MC) dose calculations. This study aims to propose an analytical photon source model based on particle transport in parameterized accelerator structures, focusing on a more realistic determination of linac photon spectra compared to existing approaches. METHODS: We designed the primary and secondary photon sources based on the photons attenuated and scattered by a parameterized flattening filter. The primary photons were derived by attenuating bremsstrahlung photons based on the path length in the filter. Conversely, the secondary photons were derived from the decrement of the primary photons in the attenuation process. This design facilitates these sources to share the free parameters of the filter shape and be related to each other through the photon interaction in the filter. We introduced two other parameters of the primary photon source to describe the particle fluence in penumbral regions. All the parameters are optimized based on calculated dose curves in water using the pencil-beam-based algorithm. To verify the modeling accuracy, we compared the proposed model with the phase space data (PSD) of the Varian TrueBeam 6 and 15 MV accelerators in terms of the beam characteristics and the dose distributions. The EGS5 Monte Carlo code was used to calculate the dose distributions associated with the optimized model and reference PSD in a homogeneous water phantom and a heterogeneous lung phantom. We calculated the percentage of points passing 1D and 2D gamma analysis with 1%/1 mm criteria for the dose curves and lateral dose distributions, respectively. RESULTS: The optimized model accurately reproduced the spectral curves of the reference PSD both on- and off-axis. The depth dose and lateral dose profiles of the optimized model also showed good agreement with those of the reference PSD. The passing rates of the 1D gamma analysis with 1%/1 mm criteria between the model and PSD were 100% for 4 × 4, 10 × 10, and 20 × 20 cm2 fields at multiple depths. For the 2D dose distributions calculated in the heterogeneous lung phantom, the 2D gamma pass rate was 100% for 6 and 15 MV beams. The model optimization time was less than 4 min. CONCLUSION: The proposed source model optimization process accurately produces photon fluence spectra from a linac using valid physical properties, without detailed knowledge of the geometry of the linac head, and with minimal optimization time.
Evaluation of functionally weighted dose-volume parameters for thoracic stereotactic ablative radiotherapy (SABR) using CT ventilation Peer-reviewed

Takayuki Kanai, Noriyuki Kadoya, Yujiro Nakajima, Yuya Miyasaka, Yoshiro Ieko, Tomohiro Kajikawa, Kengo Ito, Takaya Yamamoto, Suguru Dobashi, Ken Takeda, Kenji Nemoto, Keiichi Jingu

Physica Medica　49　47-51　2018/05/01
Publisher: Associazione Italiana di Fisica Medica
DOI： 10.1016/j.ejmp.2018.05.001 　

ISSN： 1724-191X 1120-1797

eISSN： 1724-191X
Log file-based patient dose calculations of double-arc VMAT for head-and-neck radiotherapy Peer-reviewed

Yoshiyuki Katsuta, Noriyuki Kadoya, Yukio Fujita, Eiji Shimizu, Kazuhiro Majima, Haruo Matsushita, Ken Takeda, Keiichi Jingu

Physica Medica　48　6-10　2018/04/01
Publisher: Associazione Italiana di Fisica Medica
DOI： 10.1016/j.ejmp.2018.03.006 　

ISSN： 1724-191X 1120-1797
Impact of a commercially available model-based dose calculation algorithm on treatment planning of high-dose-rate brachytherapy in patients with cervical cancer. International-journal Peer-reviewed

Kota Abe, Noriyuki Kadoya, Shinya Sato, Shimpei Hashimoto, Yujiro Nakajima, Yuya Miyasaka, Kengo Ito, Rei Umezawa, Takaya Yamamoto, Noriyoshi Takahashi, Ken Takeda, Keiichi Jingu

Journal of radiation research　59　(2)　198-206　2018/03/01

DOI： 10.1093/jrr/rrx081 　

ISSN： 0449-3060

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We evaluated the impact of model-based dose calculation algorithms (MBDCAs) on high-dose-rate brachytherapy (HDR-BT) treatment planning for patients with cervical cancer. Seven patients with cervical cancer treated using HDR-BT were studied. Tandem and ovoid applicators were used in four patients, a vaginal cylinder in one, and interstitial needles in the remaining two patients. MBDCAs were applied to the Advanced Collapsed cone Engine (ACE; Elekta, Stockholm, Sweden). All plans, which were originally calculated using TG-43, were re-calculated using both ACE and Monte Carlo (MC) simulations. Air was used as the rectal material. The mean difference in the rectum D2cm3 between ACErec-air and MCrec-air was 8.60 ± 4.64%, whereas that in the bladder D2cm3 was -2.80 ± 1.21%. Conversely, in the small group analysis (n = 4) using water instead of air as the rectal material, the mean difference in the rectum D2cm3 between TG-43 and ACErec-air was 11.87 ± 2.65%, whereas that between TG-43 and ACErec-water was 0.81 ± 2.04%, indicating that the use of water as the rectal material reduced the difference in D2cm3 between TG-43 and ACE. Our results suggested that the differences in the dose-volume histogram (DVH) parameters of TG-43 and ACE were large for the rectum when considerable air (gas) volume was present in it, and that this difference was reduced when the air (gas) volume was reduced. Also, ACE exhibited better dose calculation accuracy than that of TG-43 in this situation. Thus, ACE may be able to calculate the dose more accurately than TG-43 for HDR-BT in treating cervical cancers, particularly for patients with considerable air (gas) volume in the rectum.
Dosimetric evaluation of MLC-based dynamic tumor tracking radiotherapy using digital phantom: Desired setup margin for tracking radiotherapy Peer-reviewed

Noriyuki Kadoya, Kei Ichiji, Tomoya Uchida, Yujiro Nakajima, Ryutaro Ikeda, Yosuke Uozumi, Xiaoyong Zhang, Ivo Bukovsky, Takaya Yamamoto, Ken Takeda, Yoshihiro Takai, Keiichi Jingu, Noriyasu Homma

Medical Dosimetry　43　(1)　74-81　2018/02/01
Publisher: Elsevier Inc.
DOI： 10.1016/j.meddos.2017.08.005 　

ISSN： 1873-4022 0958-3947
Prognostic Value of Radiation Pneumonitis After Stereotactic Body Radiotherapy: Effect of Pulmonary Emphysema Quantitated Using CT Images Peer-reviewed

Takaya Yamamoto, Noriyuki Kadoya, Yoshinao Sato, Haruo Matsushita, Rei Umezawa, Masaki Kubozono, Yojiro Ishikawa, Maiko Kozumi, Noriyoshi Takahashi, Yohei Morishita, Yu Katagiri, Kiyokazu Sato, Kengo Ito, Ken Takeda, Keiichi Jingu

Clinical Lung Cancer　19　(1)　e85-e90　2018/01/01
Publisher: Elsevier Inc.
DOI： 10.1016/j.cllc.2017.05.022 　

ISSN： 1938-0690 1525-7304

eISSN： 1938-0690
Stereotactic Radiotherapy for Oligometastases in Lymph Nodes-A Review. International-journal Peer-reviewed

Haruo Matsushita, Keiichi Jingu, Rei Umezawa, Takaya Yamamoto, Yojiro Ishikawa, Noriyoshi Takahashi, Yu Katagiri, Noriyuki Kadoya

Technology in cancer research & treatment　17　1533033818803597-1533033818803597　2018/01/01

DOI： 10.1177/1533033818803597 　

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In recent years, the concept of oligometastases has become accepted and reports on stereotactic body radiotherapy as a treatment method have been published. Lesions in the brain, lung, and liver have been reported as target lesions. However, lymph node oligometastases could be a good candidate for stereotactic body radiotherapy as well. In this study, the usability of stereotactic body radiotherapy for oligometastases to lymph nodes is assessed by researching for each primary site. As a result, we could consider that stereotactic body radiotherapy could be almost well applied for lymph node oligometastases from the breast, gynecological organs, and prostate. However, doubts remain concerning the usefulness of stereotactic body radiotherapy for cervical node metastases from head and neck cancer or for mediastinal node metastases from lung or esophageal cancer since late toxicities have occurred with a large radiation dose at hypofractionation to major vessels or the central respiratory tract, especially in patients with irradiation histories. In addition, high-dose irradiation is required to control lymph node metastases from colorectal cancer due to its radioresistance, and severe late adverse events would therefore occur in adjacent organs such as the gastrointestinal tract. In cases of lymph node oligometastases with a primary tumor in the stomach or esophagus, stereotactic body radiotherapy should be used limitedly at present because this patient population is not so large and these metastases are often located close to organs at risk. Because of the varied status of recurrence and varied conditions of patients, it is difficult to determine the optimal dose for tumor control. It might be reasonable to determine the treatment dose individually based on dose constraints of adjacent organs. The oligometastatic state is becoming more frequently identified with more sensitive methods of detecting such oligometastases. In addition, there seems to be another type of oligometastases, so-called induced oligometastases, following successful systemic treatment. To determine the optimal indication of stereotactic body radiotherapy for lymph node oligometastases, further investigation about the mechanisms of oligometastases and further clinical studies including a phase III study are needed.
Quantifying the performance of two different types of commercial software programs for 3D patient dose reconstruction for prostate cancer patients: Machine log files vs. machine log files with EPID images. International-journal Peer-reviewed

Noriyuki Kadoya, Yoshio Kon, Yoshiki Takayama, Takuya Matsumoto, Naoki Hayashi, Yoshiyuki Katsuta, Kengo Ito, Takahito Chiba, Suguru Dobashi, Ken Takeda, Keiichi Jingu

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)　45　170-176　2018/01

DOI： 10.1016/j.ejmp.2017.12.018 　

ISSN： 1120-1797

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We clarified the reconstructed 3D dose difference between two different commercial software programs (Mobius3D v2.0 and PerFRACTION v1.6.4). Five prostate cancer patients treated with IMRT (74 Gy/37 Fr) were studied. Log files and cine EPID images were acquired for each fraction. 3D patient dose was reconstructed using log files (Mobius3D) or log files with EPID imaging (PerFRACTION). The treatment planning dose was re-calculated on homogeneous and heterogeneous phantoms, and log files and cine EPID images were acquired. Measured doses were compared with the reconstructed point doses in the phantom. Next, we compared dosimetric metrics (mean dose for PTV, rectum, and bladder) calculated by Mobius3D and PerFRACTION for all fractions from five patients. Dose difference at isocenter between measurement and reconstructed dose for two software programs was within 3.0% in both homogeneous and heterogeneous phantoms. Moreover, the dose difference was larger using skip arc plan than that using full arc plan, especially for PerFRACTION (e.g., dose difference at isocenter for PerFRACTION: 0.34% for full arc plan vs. -4.50% for skip arc plan in patient 1). For patients, differences in dosimetric parameters were within 1% for almost all fractions. PerFRACTION had wider range of dose difference between first fraction and the other fractions than Mobius3D (e.g., maximum difference: 0.50% for Mobius3D vs. 1.85% for PerFRACTION), possibly because EPID may detect some types of MLC positioning errors such as miscalibration errors or mechanical backlash which cannot be detected by log files, or that EPID data might include image acquisition failure and image noise.
Stereotactic Radiotherapy for Pulmonary Oligometastases From Colorectal Cancer: A Systematic Review and Meta-Analysis. International-journal Peer-reviewed

Keiichi Jingu, Haruo Matsushita, Takaya Yamamoto, Rei Umezawa, Yojiro Ishikawa, Noriyoshi Takahashi, Yu Katagiri, Kazuya Takeda, Noriyuki Kadoya

Technology in cancer research & treatment　17　1533033818794936-1533033818794936　2018/01/01

DOI： 10.1177/1533033818794936 　

ISSN： 1533-0346

eISSN： 1533-0338
Evaluation of lung toxicity risk with computed tomography ventilation image for thoracic cancer patients. International-journal Peer-reviewed

Masakazu Otsuka, Hajime Monzen, Kenji Matsumoto, Mikoto Tamura, Masahiro Inada, Noriyuki Kadoya, Yasumasa Nishimura

PloS one　13　(10)　e0204721　2018

DOI： 10.1371/journal.pone.0204721 　

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BACKGROUND: Four-dimensional computed tomography (4D-CT) ventilation is an emerging imaging modality. Functional avoidance of regions according to 4D-CT ventilation may reduce lung toxicity after radiation therapy. This study evaluated associations between 4D-CT ventilation-based dosimetric parameters and clinical outcomes. METHODS: Pre-treatment 4D-CT data were used to retrospectively construct ventilation images for 40 thoracic cancer patients retrospectively. Fifteen patients were treated with conventional radiation therapy, 6 patients with hyperfractionated radiation therapy and 19 patients with stereotactic body radiation therapy (SBRT). Ventilation images were calculated from 4D-CT data using a deformable image registration and Jacobian-based algorithm. Each ventilation map was normalized by converting it to percentile images. Ventilation-based dosimetric parameters (Mean Dose, V5 [percent lung volume receiving ≥5 Gy], and V20 [percent lung volume receiving ≥20 Gy]) were calculated for highly and poorly ventilated regions. To test whether the ventilation-based dosimetric parameters could be used predict radiation pneumonitis of ≥Grade 2, the area under the curve (AUC) was determined from the receiver operating characteristic analysis. RESULTS: For Mean Dose, poorly ventilated lung regions in the 0-30% range showed the highest AUC value (0.809; 95% confidence interval [CI], 0.663-0.955). For V20, poorly ventilated lung regions in the 0-20% range had the highest AUC value (0.774; 95% [CI], 0.598-0.915), and for V5, poorly ventilated lung regions in the 0-30% range had the highest AUC value (0.843; 95% [CI], 0.732-0.954). The highest AUC values for Mean Dose, V20, and V5 were obtained in poorly ventilated regions. There were significant differences in all dosimetric parameters between radiation pneumonitis of Grade 1 and Grade ≥2. CONCLUSIONS: Poorly ventilated lung regions identified on 4D-CT had higher AUC values than highly ventilated regions, suggesting that functional planning based on poorly ventilated regions may reduce the risk of lung toxicity in radiation therapy.
Assessment and agreement of the CT appearance pattern and its severity grading of radiation-induced lung injury after stereotactic body radiotherapy for lung cancer. International-journal Peer-reviewed

Takaya Yamamoto, Noriyuki Kadoya, Yohei Morishita, Yoshinao Sato, Haruo Matsushita, Rei Umezawa, Yojiro Ishikawa, Noriyoshi Takahashi, Yu Katagiri, Ken Takeda, Keiichi Jingu

PloS one　13　(10)　e0204734　2018

DOI： 10.1371/journal.pone.0204734 　

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PURPOSE: Radiographic severity of radiation-induced lung injury (RILI) has not been well-studied. The goal of this study was to assess the CT appearance pattern and severity of RILI without consideration of the clinical presentation. MATERIAL AND METHODS: A total of 49 patients, 41 with primary lung cancer and 8 with metastatic lung cancer, were treated by 4-fraction stereotactic body radiotherapy (SBRT). RILI after SBRT was separately assessed by two observers. The early and late CT appearance patterns and CT-based severity grading were explored. RESULTS: The median follow-up period was 39.0 months. In the early CT findings of observers 1 and 2, there was diffuse consolidation in 15 and 8, diffuse ground glass opacity (GGO) in 0 and 0, patchy consolidation and GGO in 17 and 20, patchy GGO in 3 and 3, and no changes in 10 and 14, respectively (kappa = 0.61). In late CT findings of observer 1 and 2, there were modified conventional pattern in 28 and 24, mass-like pattern in 8 and 11, scar-like pattern in 12 and 12, and no changes in 1 and 2, respectively (kappa = 0.63). In the results of the CT-based grading by observers 1 and 2, there were grade 0 in 1 and 2, grade 1 in 10 and 14, grade 2 in 31 and 29, grade 3 in 7 and 4, and none of grade 4 or more, respectively (kappa = 0.66). According to multivariate analyses (MVA), the significant predicting factors of grade 2 or more CT-based RILI were age (p = 0.01), oxygen dependence (p = 0.03) and interstitial shadow (p = 0.03). CONCLUSIONS: The agreement of the CT appearance and CT-based grading between two observers was good. These indicators may be able to provide us with more objective information and a better understanding of RILI.
Patient-Specific Quality Assurance Using Monte Carlo Dose Calculation and Elekta Log Files for Prostate Volumetric-Modulated Arc Therapy Peer-reviewed

Yoshiyuki Katsuta, Noriyuki Kadoya, Yukio Fujita, Eiji Shimizu, Kenichi Matsunaga, Kinya Sawada, Haruo Matsushita, Kazuhiro Majima, Keiichi Jingu

TECHNOLOGY IN CANCER RESEARCH & TREATMENT　16　(6)　1220-1225　2017/12

DOI： 10.1177/1533034617745250 　

ISSN： 1533-0346

eISSN： 1533-0338
Evaluating the Toxicity Reduction With Computed Tomographic Ventilation Functional Avoidance Radiation Therapy Peer-reviewed

Austin M. Faught, Yuya Miyasaka, Noriyuki Kadoya, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy, Tokihiro Yamamoto

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　99　(2)　325-333　2017/10

DOI： 10.1016/j.ijrobp.2017.04.024 　

ISSN： 0360-3016

eISSN： 1879-355X
Clinical impact of dosimetric changes for volumetric modulated arc therapy in log file-based patient dose calculations Peer-reviewed

Yoshiyuki Katsuta, Noriyuki Kadoya, Yukio Fujita, Eiji Shimizu, Kenichi Matsunaga, Haruo Matsushita, Kazuhiro Majima, Keiichi Jingu

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS　42　1-6　2017/10

DOI： 10.1016/j.ejmp.2017.08.004 　

ISSN： 1120-1797

eISSN： 1724-191X
Evaluation of rectum and bladder dose accumulation from external beam radiotherapy and brachytherapy for cervical cancer using two different deformable image registration techniques Peer-reviewed

Noriyuki Kadoya, YuYa Miyasaka, Takaya Yamamoto, Yoshihiro Kuroda, Kengo Ito, Mizuki Chiba, Yujiro Nakajima, Noriyoshi Takahashi, Masaki Kubozono, Rei Umezawa, Suguru Dobashi, Ken Takeda, Keiichi Jingu

JOURNAL OF RADIATION RESEARCH　58　(5)　720-728　2017/09

DOI： 10.1093/jrr/rrx028 　

ISSN： 0449-3060

eISSN： 1349-9157
Investigating the characteristics of beams from a clinical linear accelerator for clinical dose calculations.

K. Masaki, S. Dobashi, Y. Ishizawa, K. Sato, N. Kadoya, K. Ito, M. Chiba, K. Takeda

Proceedings of the 23rd EGS Users' Meeting in Japan　6-18　2017/07/01
Publisher: KEK High Energy Accelerator Research Organization
Effect of DIR uncertainty on prostate passive-scattering proton therapy dose accumulation Peer-reviewed

Yoshitomo Abe, Noriyuki Kadoya, Kazuhiro Arai, Yoshiki Takayama, Takahiro Kato, Kanako Kimura, Takashi Ono, Tatsuya Nakamura, Hitoshi Wada, Yasuhiro Kikuchi, Keiichi Jingu

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS　39　113-120　2017/07

DOI： 10.1016/j.ejmp.2017.06.005 　

ISSN： 1120-1797

eISSN： 1724-191X
Evaluation of the performance of deformable image registration between planning CT and CBCT images for the pelvic region: comparison between hybrid and intensity-based DIR Peer-reviewed

Yoshiki Takayama, Noriyuki Kadoya, Takaya Yamamoto, Kengo Ito, Mizuki Chiba, Kousei Fujiwara, Yuya Miyasaka, Suguru Dobashi, Kiyokazu Sato, Ken Takeda, Keiichi Jingu

JOURNAL OF RADIATION RESEARCH　58　(4)　567-571　2017/07

DOI： 10.1093/jrr/rrw123 　

ISSN： 0449-3060

eISSN： 1349-9157
Feasibility of a Direct-Conversion Method from Magnetic Susceptibility to Relative Electron Density for Radiation Therapy Treatment Planning Peer-reviewed

Kengo Ito, Noriyuki Kadoya, Yujiro Nakajima, Masahide Saito, Kiyokazu Sato, Tatsuo Nagasaka, Kazuomi Yamanaka, Suguru Dobashi, Ken Takeda, Haruo Matsushita, Keiichi Jingu

Int J Med Phys Clin Eng Radiat Oncol　(6)　252-265　2017/07
Comparison of DVH-based plan verification methods for VMAT: ArcCHECK-3DVH system and dynalog-based dose reconstruction. Peer-reviewed

Saito M, Kadoya N, Sato K, Ito K, Dobashi S, Takeda K, Onishi H, Jingu K

J Appl Clin Med Phys　2017/06
Ⅲ期食道癌CRTにおける血液検査データと予後との関連

武田一也, 梅澤玲, 松下晴雄, 久保園正樹, 田邊隆哉, 石川陽二郎, 山本貴也, 古積麻衣子, 高橋紀善, 片桐佑, 田坂俊, 福井勝哉, 鈴木友, 角谷倫之, 伊藤謙吾, 千葉瑞己, 土橋卓, 武田賢, 神宮啓一

東北医誌　129　(1)　72-73　2017/06

ISSN： 1867-1071
Prognostic factors associated with the accuracy of deformable image registration in lung cancer patients treated with stereotactic body radiotherapy Peer-reviewed

Yasuharu Sugawara, Hidenobu Tachibana, Noriyuki Kadoya, Nozomi Kitamura, Amit Sawant, Keiichi Jingu

Medical Dosimetry　42　(4)　326-333　2017/02/04
Publisher: Elsevier Inc.
DOI： 10.1016/j.meddos.2017.07.004 　

ISSN： 1873-4022 0958-3947
4D-CTを用いた肺機能画像の生理学的評価

金井貴幸, 根本建二, 角谷倫之, 伊藤謙吾, 岸和馬, 松下晴雄, 神宮啓一, 武田賢

Japanese Journal of Radiology　35　(Suppl.)　4-4　2017/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
Evaluation of deformable image registration between external beam radiotherapy and HDR brachytherapy for cervical cancer with a 3D-printed deformable pelvis phantom. Peer-reviewed

Kadoya N, Miyasaka Y, Nakajima Y, Kuroda Y, Ito K, Chiba M, Sato K, Dobashi S, Yamamoto T, Takahashi N, Kubozono M, Takeda K, Jingu K

Med Phys　44　(4)　1445-1455　2017/02
CBCTを用いた適応放射線治療

千葉瑞己, 角谷倫之, 伊藤謙吾, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　35　9-9　2017/02
化学放射線療法が著効した肺原発Pleomorphic carcinomaの1例

武田一也, 松下晴雄, 久保園正樹, 白田佑子, 田邊隆哉, 石川陽二郎, 古積麻衣子, 高橋紀善, 片桐佑, 田坂俊, 福井勝哉, 角谷倫之, 伊藤謙吾, 千葉瑞己, 神宮啓一, 武田賢, 土橋卓, 藤島史喜

Japanese Journal of Radiology　35　(Suppl.)　9-9　2017/02
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
眼球NK-T細胞リンパ腫に対する放射線治療経過報告

田坂俊, 松下晴雄, 久保園正樹, 白田佑子, 田邊隆哉, 石川陽二郎, 古積麻衣子, 高橋紀善, 片桐佑, 福井勝哉, 武田一也, 角谷倫之, 伊藤謙吾, 千葉瑞己, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　35　(Suppl.)　9-9　2017/02
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
Deformable image registration using a physical constraint for cervical cancer radiotherapy

Kuroda Yoshihiro, Ayunisa Nadhifa, Kadoya Noriyuki, Yoshimoto Shunsuke, Oshiro Osamu

Transactions of Japanese Society for Medical and Biological Engineering　55　(5)　440-440　2017
Publisher: Japanese Society for Medical and Biological Engineering
DOI： 10.11239/jsmbe.55Annual.440 　

ISSN： 1347-443X

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Radiotherapy planning requires calculation of cumulative dose distribution of a series of treatment planning. In the treatment of the uterus, a radioactive tool is inserted into the uterus which causes the uterus to deform. We aimed at developing deformable image registration to support treatment planning considering a physical constraint of the uterus by the tool. Intensity-based deformable image registration has been intensively studied. However, the physical constraint by the tool could not be considered. In this study, we applied a finite element method to intensity-based image registration to consider physical characteristics. The center lines are extracted from the uterus and radioactive tool automatically. The experimental results using a phantom and patients' data revealed that the proposed method is relatively effective when the uterus deforms largely.
Feasibility of CBCT-based proton dose calculation using a histogram-matching algorithm in proton beam therapy Peer-reviewed

Kazuhiro Arai, Noriyuki Kadoya, Takahiro Kato, Hiromitsu Endo, Shinya Komori, Yoshitomo Abe, Tatsuya Nakamura, Hitoshi Wada, Yasuhiro Kikuchi, Yoshihiro Takai, Keiichi Jingu

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS　33　68-76　2017/01

DOI： 10.1016/j.ejmp.2016.12.006 　

ISSN： 1120-1797

eISSN： 1724-191X
Whole-body total lesion glycolysis is an independent predictor in patients with esophageal cancer treated with definitive chemoradiotherapy Peer-reviewed

Takahashi N, Umezawa R, Takanami K, Yamamoto T, Ishikawa Y, Kozumi M, Takeda K, Kadoya N, Jingu K

Radiotherapy and Oncology　129　(1)　161-165　2017

DOI： 10.1016/j.radonc.2017.10.019 　

ISSN： 0167-8140

eISSN： 1879-0887
Elective nodal irradiation is not necessary in chemoradiotherapy for postoperative loco-regional recurrent esophageal cancer Peer-reviewed

Keiichi Jingu, Rei Umezawa, Takaya Yamamoto, Haruo Matsushita, Youjirou Ishikawa, Maiko Kozumi, Masaki Kubozono, Noriyoshi Takahashi, Noriyuki Kadoya, Ken Takeda

Japanese Journal of Clinical Oncology　47　(3)　200-205　2017
Publisher: Oxford University Press
DOI： 10.1093/jjco/hyw195 　

ISSN： 1465-3621 0368-2811
Evaluation of the Positional Accuracy and Dosimetric Properties of a Three-dimensional Printed Device for Head and Neck Immobilization. Invited Peer-reviewed

Sato K, Takeda K, Dobashi S, Kadoya N, Ito K, Chiba M, Kishi K, Yanagawa I, Jingu K

日本放射線技術学会雑誌　73　(1)　57-65　2017/01
Publisher: Japanese Society of Radiological Technology
DOI： 10.6009/jjrt.2017_JSRT_73.1.57 　

ISSN： 0369-4305

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Our aim was to investigate the feasibility of a three-dimensional (3D) -printed head-and-neck (HN) immobilization device by comparing its positional accuracy and dosimetric properties with those of a conventional immobilization device (CID). We prepared a 3D-printed immobilization device (3DID) consisting of a mask and headrest with acrylonitrile-butadiene-styrene resin developed from the computed tomography data obtained by imaging a HN phantom. For comparison, a CID comprising a thermoplastic mask and headrest was prepared using the same HN phantom. We measured the setup error using the ExacTrac X-ray image system. Furthermore, using the ionization chamber and the water-equivalent phantom, we measured the changes in the dose due to the difference in the immobilization device material from the photon of 4 MV and 6 MV. The positional accuracy of the two devices were almost similar in each direction except in the vertical, lateral, and pitch directions (t-test, p<0.0001), and the maximum difference was 1 mm, and 1°. The standard deviations were not statistically different in each direction except in the longitudinal (F-test, p=0.034) and roll directions (F-test, p<0.0001). When the thickness was the same, the dose difference was almost similar at a 50 mm depth. At a 1 mm depth, the 3DID-plate had a 2.9–4.2% lower dose than the CID-plate. This study suggested that the positional accuracy and dosimetric properties of 3DID were almost similar to those of CID.
頭頸部メルケル細胞癌の放射線治療経験 Peer-reviewed

山本貴也, 角谷倫之, 松下晴雄, 藤村卓, 片桐佑, 福井勝哉, 中島祐二朗, 久保園正樹, 佐藤清和, 武田賢, 相場節也, 神宮啓一

臨床放射線　61　(13)　1781-1786　2016/12
Publisher:
DOI： 10.18888/J01565.2017141474 　

ISSN： 0009-9252
Multi-institutional Validation Study of Commercially Available Deformable Image Registration Software for Thoracic Images Peer-reviewed

Noriyuki Kadoya, Yujiro Nakajima, Masahide Saito, Yuki Miyabe, Masahiko Kurooka, Satoshi Kito, Yukio Fujita, Motoharu Sasaki, Kazuhiro Arai, Kensuke Tani, Masashi Yagi, Akihisa Wakita, Naoki Tohyama, Keiichi Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　96　(2)　422-431　2016/10

DOI： 10.1016/j.ijrobp.2016.05.012 　

ISSN： 0360-3016

eISSN： 1879-355X
Association of Pretreatment Serum Albumin with Reduction in Oropharyngeal Squamous Cell Carcinoma Tumor Volume During Curative External Beam Radiation Therapy Peer-reviewed

K. Takeda, H. Matsushita, T. Ogawa, M. Kubozono, Y. Ishikawa, T. Yamamoto, M. Kozumi, N. Takahashi, S. Dobashi, N. Kadoya, K. Ito, M. Chiba, S. Komori, Y. Ishizawa, K. Takeda, S. Tasaka, Y. Katagiri, T. Tanabe, Y. Katori, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　96　(2)　E360-E361　2016/10

ISSN： 0360-3016

eISSN： 1879-355X
前立腺がん症例における画素値と解剖学的情報を用いるHybrid DIRの有効性の検討

高山佳樹, 角谷倫之, 千葉瑞己, 藤原康生, 土橋卓, 武田賢, 神宮啓一, 佐藤清和, 岸和馬

日本放射線技術学会東北部会雑誌　(25)　138-138　2016/10
子宮頸がん放射線治療のための道具制約による生体力学統合非剛体位置合わせ(Tool-constrained Biomechanically-combined Deformable Image Registration for Cervical Cancer Radiotherapy)

ナディファ・アユニサ, 黒田嘉宏, 角谷倫之, 吉元俊輔, 大城理

MEDICAL IMAGING TECHNOLOGY　(Suppl.)　np344-np349　2016/07
Publisher: (一社)日本医用画像工学会
ISSN： 0288-450X
Comparison of visual biofeedback system with a guiding waveform and abdomen-chest motion self-control system for respiratory motion management Peer-reviewed

Yujiro Nakajima, Noriyuki Kadoya, Takayuki Kanai, Kengo Ito, Kiyokazu Sato, Suguru Dobashi, Takaya Yamamoto, Yojiro Ishikawa, Haruo Matsushita, Ken Takeda, Keiichi Jingu

JOURNAL OF RADIATION RESEARCH　57　(4)　387-392　2016/07

DOI： 10.1093/jrr/rrv106 　

ISSN： 0449-3060

eISSN： 1349-9157
Evaluation of four-dimensional computed tomography (4D-CT)-based pulmonary ventilation: The high correlation between 4D-CT ventilation and Kr-81m-planar images was found Peer-reviewed

Takayuki Kanai, Noriyuki Kadoya, Kengo Ito, Kazuma Kishi, Suguru Dobashi, Takaya Yamamoto, Rei Umezawa, Haruo Matsushita, Ken Takeda, Keiichi Jingu

RADIOTHERAPY AND ONCOLOGY　119　(3)　444-448　2016/06

DOI： 10.1016/j.radonc.2016.04.030 　

ISSN： 0167-8140
頭頸部癌適応放射線治療の適応確立に向けた基礎研究: 外部放射線治療期間中の肉眼的腫瘍体積変化と臨床因子間の関連調査 Invited

武田賢, 松下晴雄, 土橋卓, 角谷倫之, 小川武則, 小森慎也, 石澤儀樹, 香取幸夫, 神宮啓一

JASTRO NEWSLETTER　2　(120)　24-26　2016/06
Quantification of residual dose estimation error on log file-based patient dose calculation Peer-reviewed

Yoshiyuki Katsuta, Noriyuki Kadoya, Yukio Fujita, Eiji Shimizu, Kenichi Matsunaga, Haruo Matsushita, Kazuhiro Majima, Keiichi Jingu

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS　32　(5)　701-705　2016/05

DOI： 10.1016/j.ejmp.2016.04.015 　

ISSN： 1120-1797

eISSN： 1724-191X
Renal atrophy after stereotactic body radiotherapy for renal cell carcinoma Peer-reviewed

Takaya Yamamoto, Noriyuki Kadoya, Ken Takeda, Haruo Matsushita, Rei Umezawa, Kiyokazu Sato, Masaki Kubozono, Kengo Ito, Yojiro Ishikawa, Maiko Kozumi, Noriyoshi Takahashi, Yu Katagiri, Hiroshi Onishi, Keiichi Jingu

RADIATION ONCOLOGY　11　(1)　72　2016/05

DOI： 10.1186/s13014-016-0651-5 　

ISSN： 1748-717X
Dosemetric Parameters Predictive of Rib Fractures after Proton Beam Therapy for Early-Stage Lung Cancer Peer-reviewed

Yojiro Ishikawa, Tatsuya Nakamura, Takahiro Kato, Noriyuki Kadoya, Motohisa Suzuki, Yusuke Azami, Masato Hareyama, Yasuhiro Kikuchi, Keiichi Jingu

TOHOKU JOURNAL OF EXPERIMENTAL MEDICINE　238　(4)　339-345　2016/04

DOI： 10.1620/tjem.238.339 　

ISSN： 0040-8727

eISSN： 1349-3329
Association between radiation dose to the heart and myocardial fatty acid metabolic impairment due to chemoradiation-therapy: Prospective study using I-123 BMIPP SPECT/CT Peer-reviewed

Kentaro Takanami, Akira Arai, Rei Umezawa, Takashi Takeuchi, Noriynki Kadoya, Yasuyuki Taki, Keiichi Jingu, Kei Takase

RADIOTHERAPY AND ONCOLOGY　119　(1)　77-83　2016/04

DOI： 10.1016/j.radonc.2016.01.024 　

ISSN： 0167-8140
Chemoradiotherapy for T4 and/or M1 lymph node esophageal cancer: experience since 2000 at a high-volume center in Japan Peer-reviewed

Keiichi Jingu, Rei Umezawa, Haruo Matsushita, Toshiyuki Sugawara, Masaki Kubozono, Takaya Yamamoto, Youjirou Ishikawa, Maiko Kozumi, Noriyoshi Takahashi, Yu Katagiri, Noriyuki Kadoya, Ken Takeda

INTERNATIONAL JOURNAL OF CLINICAL ONCOLOGY　21　(2)　276-282　2016/04

DOI： 10.1007/s10147-015-0896-2 　

ISSN： 1341-9625

eISSN： 1437-7772
OC-0271: Positional accuracy valuation of a three dimensional printed device for head and neck immobilisation Peer-reviewed

K. Sato, K. Takeda, S. Dobashi, K. Kishi, N. Kadoya, K. Ito, M. Chiba, K. Jingu

Radiotherapy and Oncology　119　(1)　S126-S127　2016/04
Publisher: Elsevier BV
DOI： 10.1016/s0167-8140(16)31520-1 　

ISSN： 0167-8140
EP-1043: Clinical and volumetric prognostic factors in external beam radiotherapy for head and neck cancer Peer-reviewed

K. Takeda, H. Matsushita, T. Ogawa, S. Dobashi, Y. Ishizawa, K. Chida, N. Kadoya, K. Ito, M. Chiba, M. Kubozono, R. Umezawa, Y. Shirata, Y. Ishikawa, T. Yamamoto, M. Kozumi, T. Tanabe, N. Takahashi, Y. Katagiri, S. Tazaka, K. Takeda, K. Sato, Y. Katori, K. Jingu

Radiotherapy and Oncology　119　(1)　S504-S505　2016/04
Publisher: Elsevier BV
DOI： 10.1016/s0167-8140(16)32293-9 　

ISSN： 0167-8140
Assessment of Myocardial Metabolic Disorder Associated with Mediastinal Radiotherapy-a pilot study-

梅澤玲, 高浪健太郎, 松下晴雄, 菅原俊幸, 久保園正樹, 山本貴也, 石川陽二郎, 片桐佑, 古積麻衣子, 高橋紀善, 角谷倫之, 木田智士, 伊藤謙吾, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　34　(Suppl.)　4-4　2016/02/25
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
前立腺癌74Gy照射の治療成績

石川陽二郎, 松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 山本貴也, 片桐佑, 古積麻衣子, 高橋紀善, 角谷倫之, 木田智士, 伊藤謙吾, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　34　(Suppl.)　5-5　2016/02/25
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
縦隔へ40Gy以上照射された根治的放射線治療後、異時性肺癌に対する定位放射線治療成績の検討

山本貴也, 松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 石川陽二郎, 古積麻衣子, 片桐佑, 高橋紀善, 角谷倫之, 伊藤謙吾, 木田智士, 神宮啓一, 土橋卓, 武田賢

Japanese Journal of Radiology　34　(Suppl.)　9-9　2016/02/25
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
胸部食道癌Ⅱ/Ⅲ期に対する根治的化学放射線治療成績-予後因子の検討-

梅澤玲, 松下晴雄, 菅原俊幸, 久保園正樹, 山本貴也, 石川陽二郎, 片桐佑, 古積麻衣子, 高橋紀善, 角谷倫之, 木田智士, 伊藤謙吾, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　34　(Suppl.)　9-9　2016/02/25
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
FDG-PET/CTでのMetabolic tumor volumeを用いた肺定位放射線治療に対する予後予測の検討

高橋紀善, 松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 石川陽二郎, 山本貴也, 片桐佑, 古積麻衣子, 角谷倫之, 木田智士, 伊藤謙吾, 神宮啓一, 土橋卓, 武田賢

Japanese Journal of Radiology　34　(Suppl.)　9-9　2016/02/25
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
３D-IGBTにおける独立線量計算の有効性の検討

伊藤謙吾, 角谷倫之, 木田智士, 高橋紀善, 古積麻衣子, 山本貴也, 石川陽二郎, 梅澤玲, 久保園正樹, 菅原俊幸, 松下晴雄, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　34　(Suppl.)　10-10　2016/02/25
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
手術不適応非小細胞肺癌Ⅲ期に対する放射線治療成績-東北大学病院200例超の解析結果

片桐佑, 松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 山本貴也, 石川陽二郎, 古積麻衣子, 高橋紀善, 角谷倫之, 木田智士, 伊藤謙吾, 神宮啓一, 土橋卓, 武田賢

Japanese Journal of Radiology　34　(Suppl.)　11-11　2016/02/25
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
前立腺IMRT治療計画時におけるOARからみた線量処方決定因子の検討

佐藤尚志, 佐藤清和, 梁川功, 岸和馬, 角谷倫之, 伊藤謙吾, 武田賢

日本放射線技術学会東北支部雑誌　25　177-177　2016/01
Evaluation of Prognostic Factors in Clinical Blood Examinations in Patients Undergoing Chemoradiation Therapy for Stage II-III Thoracic Esophageal Cancer Peer-reviewed

R. Umezawa, H. Matsushita, T. Sugawara, M. Kubozono, T. Yamamoto, Y. Ishikawa, M. Kozumi, N. Takahashi, Y. Katagiri, N. Kadoya, K. Takeda, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　93　(3)　E152-E153　2015/11

ISSN： 0360-3016

eISSN： 1879-355X
Study of Monte Carlo dose calculation system aimed to clinical application

Y. Ishizawa, S. Dobashi, K. Sato, N. Kadoya, K. Ito, M. Chiba, K. Kishi, K. Takeda

Proceedings of the 22nd EGS Users' Meeting in Japan　33-37　2015/10/01
Publisher: KEK High Energy Accelerator Research Organization
Formula corrected maximal standardized uptake value in FDG-PET for partial volume effect and motion artifact is not a prognostic factor in stage I non-small cell lung cancer treated with stereotactic body radiotherapy Peer-reviewed

Takaya Yamamoto, Noriyuki Kadoya, Yuko Shirata, Tomohiro Kaneta, Masashi Koto, Rei Umezawa, Youjirou Ishikawa, Masaki Kubozono, Toshiyuki Sugawara, Haruo Matsushita, Keiko Abe, Ken Takeda, Keiichi Jingu

ANNALS OF NUCLEAR MEDICINE　29　(8)　666-673　2015/10

DOI： 10.1007/s12149-015-0991-5 　

ISSN： 0914-7187

eISSN： 1864-6433
Long-term results of chemoradiotherapy for stage II-III thoracic esophageal cancer in a single institution after 2000-with a focus on comparison of three protocols- Peer-reviewed

Rei Umezawa, Keiichi Jingu, Haruo Matsushita, Toshiyuki Sugawara, Masaki Kubozono, Takaya Yamamoto, Yojiro Ishikawa, Maiko Kozumi, Noriyoshi Takahashi, Yu Katagiri, Noriyuki Kadoya, Ken Takeda, Hisanori Ariga, Kenji Nemoto, Shogo Yamada

BMC CANCER　15　813　2015/10

DOI： 10.1186/s12885-015-1836-2 　

ISSN： 1471-2407
Dosimetric impact of 4-dimensional computed tomography ventilation imaging-based functional treatment planning for stereotactic body radiation therapy with 3-dimensional conformal radiation therapy Peer-reviewed

Noriyuki Kadoya, Sang Yong Cho, Takayuki Kanai, Yusuke Onozato, Kengo Ito, Suguru Dobashi, Takaya Yamamoto, Rei Umezawa, Haruo Matsushita, Ken Takeda, Keiichi Jingu

Practical Radiation Oncology　5　(5)　e505-e512　2015/09/01
Publisher: Elsevier Inc.
DOI： 10.1016/j.prro.2015.03.001 　

ISSN： 1879-8500
The current status of education and career paths of students after completion of medical physicist programs in Japan: a survey by the Japanese Board for Medical Physicist Qualification Peer-reviewed

Noriyuki Kadoya, Kumiko Karasawa, Iori Sumida, Hidetaka Arimura, Syogo Yamada

Radiological Physics and Technology　8　(2)　278-285　2015/07/23
Publisher: Springer Tokyo
DOI： 10.1007/s12194-015-0317-2 　

ISSN： 1865-0341 1865-0333
Comparative Effect of Different Respiratory Motion Management Systems Peer-reviewed

Y. Nakajima, N. Kadoya, S. Kida, K. Ito, T. Kanai, K. Kishi, K. Sato, S. Dobashi, K. Takeda, K. Jingu

MEDICAL PHYSICS　42　(6)　3309-3309　2015/06

ISSN： 0094-2405
Evaluation of Patient DVH-Based QA Metrics for Prostate VMAT: Correlation Between Accuracy of Estimated 3D Patient Dose and MLC Position Error Peer-reviewed

N. Kadoya, M. Saito, Y. Fujita, M. Ogasawara, K. Ito, K. Sato, K. Kishi, S. Dobashi, K. Takeda, K. Jingu

MEDICAL PHYSICS　42　(6)　3629-3629　2015/06

ISSN： 0094-2405
Assessment of myocardial metabolic disorder associated with mediastinal radiotherapy for esophageal cancer -a pilot study

Rei Umezawa, Kentaro Takanami, Noriyuki Kadoya, Yujiro Nakajima, Masahide Saito, Hideki Ota, Haruo Matsushita, Toshiyuki Sugawara, Masaki Kubozono, Takaya Yamamoto, Yojiro Ishikawa, Ken Takeda, Yasuyuki Taki, Kei Takase, Keiichi Jingu

Radiation Oncology　10　(1)　2015/04/21
Publisher: BioMed Central Ltd.
DOI： 10.1186/s13014-015-0410-z 　

ISSN： 1748-717X
縦隔へ照射既往のある異時性第二肺癌に対する定位放射線治療成績の検討 Peer-reviewed

山本貴也, 角谷倫之, 久保園正樹, 佐藤清和, 片桐佑, 松下晴雄, 菅原俊幸, 梅澤玲, 岸和馬, 伊藤謙吾, 武田賢, 神宮啓一

臨床放射線　60　(4)　556-563　2015/04
甲状腺MALTリンパ腫に対し放射線治療を行い長期経過観察中の症例 Peer-reviewed

平塚裕介, 松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 山本貴也, 古積麻衣子, 高橋紀善, 角谷倫之, 藤田幸男, 伊藤謙吾, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　33　3-3　2015/02
乳癌上腕骨転移照射後の上腕浮腫、末梢神経障害に対し200回超の高気圧酸素療法(HBO)を施行、奏効している症例 Peer-reviewed

松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 山本貴也, 古積麻衣子, 高橋紀善, 角谷倫之, 藤田幸男, 伊藤謙吾, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　33　5-5　2015/02
当院での乳房温存術後boost(追加)照射について Peer-reviewed

松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 藤本俊裕, 山本貴也, 石川陽二郎, 古積麻衣子, 高橋紀善, 角谷倫之, 藤田幸男, 伊藤謙吾, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　33　(Suppl.)　12-12　2015/02
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
4D-CTとdeformable image registrationを用いた肺機能イメージングの開発と治療計画への応用 Peer-reviewed

角谷倫之, 藤田幸男, 伊藤謙吾, 高橋紀善, 古積麻衣子, 山本貴也, 阿部恵子, 梅澤玲, 久保園正樹, 菅原俊幸, 松下晴雄, 神宮啓一, 土橋卓, 武田賢

Japanese Journal of Radiology　33　12-12　2015/02
骨軟部悪性腫瘍に対する放射線治療成績 Peer-reviewed

古積麻衣子, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 阿部恵子, 山本貴也, 角谷倫之, 藤田幸男, 伊藤謙吾, 高橋紀善, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　33　5-5　2015/02
VariSeedを用いたAu-198密封小線源治療の線量分布計算 Peer-reviewed

伊藤謙吾, 角谷倫之, 藤田幸男, 高橋紀善, 古積麻衣子, 山本貴也, 阿部恵子, 梅澤玲, 久保園正樹, 菅原俊幸, 松下晴雄, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　33　4-4　2015/02
東北大学病院における食道腺癌に対する放射線治療経験 Peer-reviewed

高橋紀善, 松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 山本貴也, 古積麻衣子, 角谷倫之, 藤田幸男, 伊藤謙吾, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　33　3-3　2015/02
モンテカルロ法を用いた四次元線量分布計算コードの開発 Peer-reviewed

藤田幸男, 角谷倫之, 伊藤謙吾, 高橋紀善, 古積麻衣子, 山本貴也, 阿部恵子, 梅澤玲, 久保園正樹, 菅原俊幸, 松下晴雄, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　33　3-3　2015/02
Impact of tumor attachment to the pleura measured by a pretreatment CT image on outcome of stage I NSCLC treated with stereotactic body radiotherapy Peer-reviewed

Takaya Yamamoto, Noriyuki Kadoya, Yuko Shirata, Masashi Koto, Kiyokazu Sato, Haruo Matsushita, Toshiyuki Sugawara, Rei Umezawa, Masaki Kubozono, Yojiro Ishikawa, Maiko Kozumi, Noriyoshi Takahashi, Kengo Ito, Yu Katagiri, Ken Takeda, Keiichi Jingu

RADIATION ONCOLOGY　10　(1)　343-343　2015/02

DOI： 10.1186/s13014-015-0343-6 　

ISSN： 1748-717X
Evaluation of patient DVH-based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment Peer-reviewed

Noriyuki Kadoya, Masahide Saito, Makoto Ogasawara, Yukio Fujita, Kengo Ito, Kiyokazu Sato, Kazuma Kishi, Suguru Dobashi, Ken Takeda, Keiichi Jingu

JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS　16　(3)　179-189　2015

DOI： 10.1120/jacmp.v16i3.5251 　

ISSN： 1526-9914
モンテカルロシミュレーションを用いた眼窩領域の電子線治療における水晶体防護物質の検討

中島祐二朗, 角谷倫之, 伊藤謙吾, 土橋卓, 武田賢, 神宮啓一, 岸和馬, 佐藤清和

日本放射線技術学会東北部会雑誌　24　113-113　2015/01
治療計画支援ソフトウェアiVASの精度検証

齋藤正英, 角谷倫之, 木田智士, 伊藤謙吾, 金井貴幸, 土橋卓, 武田賢, 神宮啓一, 岸和馬

日本放射線技術学会東北部会雑誌　24　(24)　114-114　2015/01
Publisher:
Clinical Factors Relating to Cervical Body Volume Reduction during Curative External Beam Radiation Therapy for Head and Neck Cancer Peer-reviewed

Ken Takeda, Suguru Dobashi, Shinya Komori, Koichi Chida, Noriyuki Kadoya, Satoshi Kida, Kengo Ito, Toshiyuki Sugawara, Masaki Kubozono, Rei Umezawa, Yojiro Ishikawa, Takaya Yamamoto, Maiko Kozumi, Noriyoshi Takahashi, Yu Katagiri, Yusuke Onozato, Takayuki Kanai, Kiyokazu Sato, Kazuma Kishi, Haruo Matsushita, Takenori Ogawa, Yukio Katori, Keiichi Jingu

Journal of Nuclear Medicine & Radiation Therapy　5　203　2014/12/16

DOI： 10.4172/2155-9619.1000203 　
Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images Peer-reviewed

Takayuki Kanai, Noriyuki Kadoya, Kengo Ito, Yusuke Onozato, Sang Yong Cho, Kazuma Kishi, Suguru Dobashi, Rei Umezawa, Haruo Matsushita, Ken Takeda, Keiichi Jingu

JOURNAL OF RADIATION RESEARCH　55　(6)　1163-1170　2014/11

DOI： 10.1093/jrr/rru062 　

ISSN： 0449-3060

eISSN： 1349-9157
Evaluation of Eye Shields in Electron Beam Treatment Using Monte Carlo Simulation

Nakajima Y, Kadoya N, Dobashi S, Kishi K, Sato K, Takeda K, Jingu K

KEK Proceedings 2014　6　40-46　2014/10
頭頸部癌を対象とした198Au密封小線源治療の線量計算 Peer-reviewed

伊藤謙吾, 角谷倫之, 藤田幸男, 岸和馬, 佐藤清和, 武田賢, 土橋卓, 梅澤玲, 久保園正樹, 松下晴雄, 神宮啓一

臨床放射線　59　(09)　1219-1225　2014/09/01
Publisher:
ISSN： 0009-9252
Impact of Tumor Attachment to the Pleura Measured by a Pretreatment CT Image on Outcome of Stage I NSCLC Treated With Stereotactic Body Radiation Therapy Peer-reviewed

T. Yamamoto, N. Kadoya, N. Takahashi, H. Matsushita, Y. Shirata, T. Sugawara, M. Kubozono, R. Umezawa, K. Abe, S. Fujimoto, Y. Ishikawa, M. Kozumi, K. Takeda, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　90　(1)　S614-S615　2014/09

DOI： 10.1186/s13014-015-0343-6 　

ISSN： 0360-3016

eISSN： 1879-355X
Dosimetric Impact of 4D-CT Ventilation Imaging-Based Functional Treatment Planning for Stereotactic Body Radiation Therapy Peer-reviewed

N. Kadoya, S. Cho, T. Kanai, K. Ito, Y. Onozato, K. Kishi, S. Dobashi, T. Yamamoto, R. Umezawa, K. Takeda, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　90　(1)　S145-S145　2014/09

ISSN： 0360-3016

eISSN： 1879-355X
Clinical Factors With Respect to Cervical Body Volume Reduction During Definitive External Beam Radiation Therapy for Hypopharyngeal Squamous Cell Carcinoma Peer-reviewed

K. Takeda, S. Dobashi, S. Komori, K. Chida, N. Kadoya, K. Itoh, T. Sugawara, M. Kubozono, R. Umezawa, Y. Ishikawa, T. Yamamoto, T. Fujimoto, M. Kozumi, Y. Onozato, T. Suzuki, H. Matsushita, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　90　(1)　S532-S533　2014/09

ISSN： 0360-3016

eISSN： 1879-355X
Long-Term-Results of Chemoradiation Therapy for Stage II-III Thoracic Esophageal Cancer: Comparison of 3 Protocols Peer-reviewed

R. Umezawa, K. Jingu, T. Sugawara, M. Kubozono, K. Abe, T. Fujimoto, T. Yamamoto, Y. Ishikawa, M. Kozumi, N. Kadoya, K. Takeda, H. Matsushita

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　90　(1)　S340-S340　2014/09

ISSN： 0360-3016

eISSN： 1879-355X
Assessment of Myocardial Metabolic Disorder Associated With Mediastinal Radiation Therapy for Esophageal Cancer Peer-reviewed

R. Umezawa, K. Takanami, H. Ota, T. Kaneta, N. Kadoya, Y. Fujita, A. Arai, K. Arai, H. Matsushita, K. Takase, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　90　(1)　S205-S205　2014/09

DOI： 10.1186/s13014-015-0410-z 　

ISSN： 0360-3016

eISSN： 1879-355X
Designing protective stents for electron release from dental restorations in external radiotherapy using monte carlo simulation

Masahide Saito, Noriyuki Kadoya, Suguru Dobashi, Keiichi Jingu

Proc of the 21st EGS Users' Meeting in Japan, KEK Proc 2014-6　2014/08
Dose–Volume Constraints in Rectum in Patients with Prostate Cancer after 74-Gy 3-Dimensional Conformal Radiotherapy. Peer-reviewed

Ishikawa Y, Kadoya N, Matsushita H, Sugawara T, Kubozono M, Umezawa R, Yamamoto T, Kozumi M, Takeda K, Jingu K

J Radiol Radiat Ther　2014/07
Evaluation of On-Board kV Cone Beam Computed Tomographye-Based Dose Calculation With Deformable Image Registration Using Hounsfield Unit Modifications Peer-reviewed

Yusuke Onozato, Noriyuki Kadoya, Yukio Fujita, Kazuhiro Arai, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Rei Umezawa, Haruo Matsushita, Keiichi Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　89　(2)　416-423　2014/06

DOI： 10.1016/j.ijrobp.2014.02.007 　

ISSN： 0360-3016

eISSN： 1879-355X
Outcomes after stereotactic body radiotherapy for lung tumors, with emphasis on comparison of primary lung cancer and metastatic lung tumors Peer-reviewed

Takaya Yamamoto, Keiichi Jingu, Yuko Shirata, Masashi Koto, Haruo Matsushita, Toshiyuki Sugawara, Masaki Kubozono, Rei Umezawa, Keiko Abe, Noriyuki Kadoya, Youjirou Ishikawa, Maiko Kozumi, Noriyoshi Takahashi, Ken Takeda, Yoshihiro Takai

BMC CANCER　14　464-464　2014/06

DOI： 10.1186/1471-2407-14-464 　

ISSN： 1471-2407
頭頸部癌に対する適応放射線治療の基礎研究－頭頸部外部放射線治療期間中の頸部体積減少について－ Peer-reviewed

小森慎也, 武田賢, 土橋卓, 角谷倫之, 藤田幸男, 伊藤謙吾, 山本貴也, 梅澤玲, 松下晴雄, 神宮啓一, 岸和馬, 佐藤清和

脳神経・頭頸部update 2014 臨床放射線　59　(05)　733-739　2014/05
頭頸部癌術後予防照射の検討東北大、宮城がんセンター症例の検討

松下晴雄, 菅原俊幸, 久保園正樹, 梅沢玲, 阿部恵子, 角谷倫之, 藤田幸男, 白田佑子, 田邊隆哉, 山本貴也, 神宮啓一, 武田賢, 土橋卓, 和田仁, 藤本俊裕, 古積麻衣子, 塩見美帆

Japanese Journalof Radiology　32　13-13　2014/02
食道癌術後再発に対する放射線化学療法予後因子多変量解析結果

神宮啓一, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 阿部恵子, 角谷倫之, 藤田幸男, 田邊隆之, 白田佑子, 山本貴也, 武田賢, 土橋卓, 根本建二

Japanese Journalof Radiology　32　13-13　2014/02
I期非小細胞肺癌定位照射の予後因子

白田佑子, 久保園正樹, 菅原俊幸, 松下晴雄, 阿部恵子, 梅澤玲, 角谷倫之, 藤田幸男, 田邊隆哉, 山本貴也, 土橋卓, 神宮啓一, 武田賢, 小藤昌志

Japanese Journal of Radiology　32　6-6　2014/02
前立腺癌体外照射における前立腺sizeと晩期直腸出血の検討

山本貴也, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 阿部恵子, 角谷倫之, 藤田幸男, 白田佑子, 田邊隆哉, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　32　6-6　2014/02
呼吸性移動によるSUVmaxの減弱に対する補正法の検討

角谷倫之, 藤田幸男, 山本貴也, 白田佑子, 阿部恵子, 梅澤玲, 久保園正樹, 菅原俊幸, 松下晴雄, 神宮啓一, 土橋卓, 武田賢, 金田朋洋

Japanese Journal of Radiology　32　7-7　2014/02
食道悪性黒色腫の2例

木下知, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 阿部恵子, 角谷倫之, 藤田幸男, 白田佑子, 田邊隆哉, 山本貴也, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　32　(Suppl.)　12-12　2014/02
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
3DVHを用いたVMAT線量検証手法の精度検証とその有用性の検討

小笠原誠, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 角谷倫之, 藤田幸男, 松下晴雄, 神宮啓一

日本放射線技術学会東北部会雑誌　23　131-131　2014/01
Evaluation of various deformable image registration algorithms for thoracic images Peer-reviewed

Noriyuki Kadoya, Yukio Fujita, Yoshiyuki Katsuta, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Masaki Kubozono, Rei Umezawa, Toshiyuki Sugawara, Haruo Matsushita, Keiichi Jingu

JOURNAL OF RADIATION RESEARCH　55　(1)　175-182　2014/01

DOI： 10.1093/jrr/rrt093 　

ISSN： 0449-3060

eISSN： 1349-9157
Prognostic Factors for Patients With Loco-Regional Recurrent Esophageal Cancer Who Were Treated With Chemoradiation Therapy: Results of Multivariate Analysis Peer-reviewed

K. Jingu, H. Matsushita, K. Takeda, R. Umezawa, T. Sugawara, M. Kubozono, K. Abe, N. Kadoya

Int J Radiat Oncol Biol Phys　87　(2)　S284-S284　2013/10
Comparison of Cumulative Dose in the Spinal Cord Using Rigid Registration and Nonrigid Registration for 2-Step Adaptive Intensity Modulated Radiation Therapy for Head-and-Neck Cancer Peer-reviewed

K. Arai, N. Kadoya, Y. Fujita, K. Kishi, K. Sato, K. Takeda, S. Dobashi, H. Matsushita, K. Jingu

Int J Radiat Oncol Biol Phys　87　(2)　S710-S711　2013/10
Evaluation of On-Board kV Cone Beam CT-Based Dose Calculation Using Deformable Image Registration and Modification of HU Values Peer-reviewed

Y. Onozato, N. Kadoya, Y. Fujita, K. Arai, S. Dobashi, K. Takeda, K. Kishi, K. Satou, Y. Kumazaki, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　87　(2)　S711-S712　2013/10

DOI： 10.1016/j.ijrobp.2014.02.007 　

ISSN： 0360-3016

eISSN： 1879-355X
Reassessing the Prognostic Value of the Maximum Standardized Uptake Value (SUVmax) in FDG-PET by Correcting for the Partial Volume Effect and Respiratory Motion Blur in Stage I Non-Small Cell Lung Cancer Treated With Stereotactic Body Radiation Therapy Peer-reviewed

T. Yamamoto, N. Kadoya, Y. Shirata, R. Umezawa, M. Kubozono, T. Sugawara, T. Kaneta, H. Matsushita, K. Takeda, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　87　(2)　S523-S523　2013/10

ISSN： 0360-3016

eISSN： 1879-355X
Investigation of correction method of recovery effect and motion blur for SUV quantification in FDG PET/CT in patients with early lung cancer Peer-reviewed

Noriyuki Kadoya, Yukio Fujita, Kengo Ito, Suguru DObashi, Ken Takeda, Kazuma Kishi, Takaya Yamamoto, Rei Umezawa, Toshiyuki Sugawara, Tomohiro Kaneta, Haruo Matsushita, Keiichi Jingu

J Nucl Med Radiat Ther　4　(4)　2013/09

DOI： 10.4172/2155-9619.1000162 　
I期非小細胞肺癌に対する定位放射線治療成績と予後因子の検討 Peer-reviewed

山本貴也, 角谷, 倫之, 白田, 佑子, 松下, 晴雄, 菅原, 俊幸, 梅澤, 玲, 阿部, 恵子, 神宮, 啓一, 武田, 賢, 土橋卓

日本医学放射線学会学術集会抄録集　72回　S271-S271　2013/02
二次発がんを生じた後に不幸な経過をたどった若年性上咽頭癌の1例 Peer-reviewed

古積麻衣子, 松下, 晴雄, 菅原, 俊幸, 神宮, 啓一, 清水, 栄二, 梅澤, 玲, 阿部, 恵子, 白田, 佑子, 石川, 陽二郎, 山本, 貴也, 角谷, 倫之, 藤田, 幸男, 武田, 賢, 土橋卓, 久保園, 正樹, 有賀, 久哲, 山田章吾

Japanese Journal of Radiology　31　(Suppl.I)　12-12　2013/02
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
原発不明頭頸部扁平上皮癌の検討 Peer-reviewed

菅原俊幸, 松下, 晴雄, 神宮, 啓一, 清水, 栄二, 阿部, 恵子, 梅沢, 玲, 山本, 貴也, 石川, 陽二郎, 古積, 麻衣子, 角谷, 倫之, 藤田, 幸男, 武田, 賢, 土橋, 卓, 久保園, 正樹, 小川, 芳弘, 山田章吾

Japanese Journal of Radiology　31　(Suppl.I)　10-10　2013/02
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
頭頸部癌術後予防照射の検討 Peer-reviewed

松下晴雄, 菅原, 俊幸, 神宮, 啓一, 清水, 栄二, 梅澤, 玲, 阿部, 恵子, 白田, 佑子, 石川, 陽二郎, 山本, 貴也, 古積, 麻衣子, 角谷, 倫之, 藤田, 幸男, 武田, 賢, 土橋卓, 久保園, 正樹, 有賀, 久哲, 山田章吾

Japanese Journal of Radiology　31　(Suppl.I)　10-10　2013/02
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
前立腺癌74Gy照射による直腸障害の検討 Peer-reviewed

石川陽二郎, 角谷, 倫之, 藤田, 幸男, 神宮, 啓一, 松下, 晴雄, 菅原, 俊幸, 久保園, 正樹, 梅沢, 玲, 清水, 栄二, 阿部, 恵子, 白田, 佑子, 古積, 麻衣子, 山田, 章吾, 武田, 賢, 有賀久哲

Japanese Journal of Radiology　31　(Suppl.I)　3-3　2013/02
Publisher:
ISSN： 1867-1071

eISSN： 1867-108X
Evaluation of dose calculation accuracy of modified CBCT using multi -level-threshold algorithm Peer-reviewed

Yusuke Onozato, Noriyuki Kadoya, Yukio Fujita, Yoshiyuki Katsuta, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Kiyokazu Satou, Keiko Abe, Rei Umezawa, Eiji Shimizu, Toshiyuki Sugawara, Keiichi Jingu, Haruo Matsushita

IFMBE Proceedings　39　1799-1802　2013

DOI： 10.1007/978-3-642-29305-4_473 　

ISSN： 1680-0737
Assessment of a commercially available automatic deformable image registration Peer-reviewed

Yoshiyuki Katsuta, Noriyuki Kadoya, Yukio Fujita, Yusuke Onozato, Kengo Ito, Tokihiro Yamamoto, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Kiyokazu Satou, Youjiro Ishikawa, Takaya Yamamoto, Maiko Kozumi, Keiichi Jingu, Haruo Matsushita

IFMBE Proceedings　39　1849-1852　2013

DOI： 10.1007/978-3-642-29305-4_487 　

ISSN： 1680-0737
呼吸性移動の影響を補正したSUV評価法に関する検討 Peer-reviewed

小笠原, 誠, 伊藤, 謙吾, 志田原, 美保, 土橋, 卓, 武田, 賢, 角谷, 倫之, 藤田, 幸男, 南部, 武幸, 岸, 和馬, 金田, 朋洋, 神宮啓一

日本放射線技術学会東北部会雑誌　(22)　238-239　2013/01
放射線治療用4D-CT画像から作成する肺機能イメージングの技術開発 Peer-reviewed

曹翔永, 武田, 賢, 土橋, 卓, 角谷, 倫之, 藤田, 幸男, 松下, 晴雄, 神宮, 啓一, 岸, 和馬, 佐藤, 清和, 山本時裕

日本放射線技術学会東北部会雑誌　(22)　140-141　2013/01
Deformable image registration検証用の肺ファントムの開発 Peer-reviewed

小野里, 侑祐, 曹, 翔永, 土橋, 卓, 武田, 賢, 角谷, 倫之, 藤田, 幸男, 神宮, 啓一, 岸, 和馬, 熊崎祐

日本放射線技術学会東北部会雑誌　(22)　138-139　2013/01
胸部領域4D-CT画像でのdeformable image registrationソフトウェアの誤差分布の評価 Peer-reviewed

勝田義之, 土橋, 卓, 武田, 賢, 角谷, 倫之, 藤田, 幸男, 松下, 晴雄, 神宮啓一

日本放射線技術学会東北部会雑誌　(22)　136-137　2013/01
histogram-matching法を用いた修正CBCTに基づく線量計算精度の評価 Peer-reviewed

新井一弘, 小野里, 侑祐, 土橋, 卓, 武田, 賢, 角谷, 倫之, 藤田, 幸男, 松下, 晴雄, 神宮, 啓一岸和馬

日本放射線技術学会東北部会雑誌　(22)　134-135　2013/01
Prognostic factors for local control of stage I non-small cell lung cancer in stereotactic radiotherapy: a retrospective analysis Peer-reviewed

Yuko Shirata, Keiichi Jingu, Masashi Koto, Masaki Kubozono, Ken Takeda, Toshiyuki Sugawara, Noriyuki Kadoya, Haruo Matsushita

RADIATION ONCOLOGY　7　182-182　2012/10

DOI： 10.1186/1748-717X-7-182 　

ISSN： 1748-717X
Dosimetric properties of radiophotoluminescent glass detector in low-energy photon beams Peer-reviewed

Noriyuki Kadoya, Kouhei Shimomura, Satoshi Kitou, Yasuo Shiota, Yukio Fujita, Suguru Dobashi, Ken Takeda, Keiichi Jingu, Haruo Matsushita, Yoshihito Namito, Syuichi Ban, Syuji Koyama, Katsuyoshi Tabushi

MEDICAL PHYSICS　39　(10)　5910-5916　2012/10

DOI： 10.1118/1.4747261 　

ISSN： 0094-2405
陽子線治療における照射野効果の基礎的検討 Peer-reviewed

松本拓也, 加藤, 貴弘, 鈴木, 正樹, 角谷, 倫之, 本柳, 智章, 倉林, 哲也, 関根, 努, 齋藤二央

日本放射線技術学会雑誌　68　(9)　1174-1174　2012/09
Radiochromic Filmを使用したIMRT線量分布解析の有用性 Peer-reviewed

佐藤清和, 岸, 和馬, 佐藤, 尚志, 松原, 健一, 角谷, 倫之, 藤田, 幸男, 土橋, 卓梁川功

日本放射線技術学会雑誌　68　(9)　1172-1172　2012/09
Treatment outcome of high-dose image-guided intensity-modulated radiotherapy using intra-prostate fiducial markers for localized prostate cancer at a single institute in Japan Peer-reviewed

Ken Takeda, Yoshihiro Takai, Kakutaro Narazaki, Masatoshi Mitsuya, Rei Umezawa, Noriyuki Kadoya, Yukio Fujita, Toshiyuki Sugawara, Masaki Kubozono, Eiji Shimizu, Keiko Abe, Yuko Shirata, Yohjiro Ishikawa, Takaya Yamamoto, Maiko Kozumi, Suguru Dobashi, Haruo Matsushita, Koichi Chida, Shigeto Ishidoya, Yoichi Arai, Keiichi Jingu, Shogo Yamada

RADIATION ONCOLOGY　7　105-105　2012/07

DOI： 10.1186/1748-717X-7-105 　

ISSN： 1748-717X
Treatment outcome of high-dose image-guided intensity-modulated radiotherapy using intra-prostate fiducial markers for localized prostate cancer at a single institute in Japan Peer-reviewed

Ken Takeda, Yoshihiro Takai, Kakutaro Narazaki, Masatoshi Mitsuya, Rei Umezawa, Noriyuki Kadoya, Yukio Fujita, Toshiyuki Sugawara, Masaki Kubozono, Eiji Shimizu, Keiko Abe, Yuko Shirata, Yohjiro Ishikawa, Takaya Yamamoto, Maiko Kozumi, Suguru Dobashi, Haruo Matsushita, Koichi Chida, Shigeto Ishidoya, Yoichi Arai, Keiichi Jingu, Shogo Yamada

RADIATION ONCOLOGY　7　(1)　105-105　2012/07

DOI： 10.1186/1748-717X-7-105 　

ISSN： 1748-717X
PD-0329 EVALUATION OF VARIOUS DEFORMABLE IMAGE REGISTRATION ALGORITHMS USING THORACIC IMAGES Peer-reviewed

N. Kadoya, Y. Fujita, Y. Katsuta, Y. Onozato, S. Dobashi, K. Takeda, K. Kishi, T. Yamamoto, K. Jingu, H. Matsushita

Radiotherapy and Oncology　103　S131-S131　2012/05
Publisher: Elsevier BV
DOI： 10.1016/s0167-8140(12)70668-0 　

ISSN： 0167-8140
EP-1403 EVALUATION OF ON-BOARD KV CONE BEAM CT-BASED DOSE CALCULATION FOR PELVIC ADAPTIVE RADIOTHERAPY Peer-reviewed

Y. Onozato, N. Kadoya, Y. Fujita, Y. Katsuta, S. Dobashi, K. Takeda, K. Kishi, K. Satou, K. Jingu, H. Matsushita

Radiotherapy and Oncology　103　S533-S533　2012/05
Publisher: Elsevier BV
DOI： 10.1016/s0167-8140(12)71736-x 　

ISSN： 0167-8140
EP-1160 DOES IMRT INCREASE LOCO-REGIONAL FAILURE IN PATIENTS WITH NASOPHARYNGEAL CANCER? A FIRST REPORT Peer-reviewed

K. Jingu, K. Abe, M. Koto, K. Fujimoto, H. Matsushita, T. Sugawara, R. Umezawa, N. Kadoya, K. Takeda, S. Yamada

Radiotherapy and Oncology　103　S447-S448　2012/05
Publisher: Elsevier BV
DOI： 10.1016/s0167-8140(12)71493-7 　

ISSN： 0167-8140
前立腺癌に対する外照射(non-IMRT)による高線量処方時の直腸線量制限 Peer-reviewed

石川陽二郎, 角谷, 倫之, 藤田, 幸男, 神宮, 啓一, 松下, 晴雄, 菅原, 俊幸, 梅澤, 玲, 阿部, 恵子, 山田, 章吾, 武田賢

日本医学放射線学会学術集会抄録集　71回　S286-S287　2012/02
Publisher:
ISSN： 0048-0428

eISSN： 1347-7951
MATLAB ツール（DIRART）を用いた Deformable Image Registration の基礎的検討

勝田義之, 角谷倫之, 藤田幸男, 小野里侑祐, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 神宮啓一, 松下晴雄

日本放射線技術学会東北部会雑誌　21　170-171　2011/12
Multi-level-threshold algorithmを用いた修正CBCT画像の, 線量計算精度の検証

小野里侑祐, 角谷倫之, 藤田幸男, 勝田義之, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 神宮啓一, 松下晴雄

日本放射線技術学会東北部会雑誌　21　172-173　2011/12
局所型前立腺癌に対する3次元原体照射後の晩期消化管障害に関連する臨床因子 Peer-reviewed

武田賢, 有賀久哲, 神宮啓一, 久保園正樹, 菅原俊幸, 梅澤玲, 清水栄二, 土橋卓, 角谷倫之, 藤田幸男, 根本建二, 山田章吾

東北大学医学部保健学科紀要　20　(2)　103-108　2011/07
DOSE-VOLUME COMPARISON OF PROTON RADIOTHERAPY AND STEREOTACTIC BODY RADIOTHERAPY FOR NON-SMALL-CELL LUNG CANCER Peer-reviewed

Noriyuki Kadoya, Yasunori Obata, Takahiro Kato, Masaru Kagiya, Tatsuya Nakamura, Takuya Tomoda, Akinori Takada, Kanako Takayama, Nobukazu Fuwa

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　79　(4)　1225-1231　2011/03

DOI： 10.1016/j.ijrobp.2010.05.016 　

ISSN： 0360-3016
頸部食道癌ブースト照射における陽子線治療とIMRTの線量分布比較

加藤貴弘, 小山翔, 角谷倫之, 本柳智章, 鈴木正樹, 岡善隆, 横張徹男

日本放射線技術学会総会学術大会予稿集　67回　210-210　2011/02
限局性前立腺癌に対する陽子線治療とIMRTの線量分布比較

加藤貴弘, 鈴木清剛, 角谷倫之, 本柳智章, 鈴木正樹, 倉林哲也, 伊藤正一, 岡善隆, 横張徹男

日本放射線技術学会東北部会雑誌　(20)　186-187　2011/02
胸部食道癌ブースト照射における陽子線治療とX線治療の比較

鈴木正樹, 加藤貴弘, 鈴木清剛, 角谷倫之, 本柳智章, 岡田利光, 横田克次, 不破信和

日本放射線技術学会雑誌　66　(9)　1043-1044　2010/09
陽子線治療における6軸治療寝台が飛程に及ぼす影響

鈴木清剛, 加藤貴弘, 角谷倫之, 鈴木正樹, 上田和代, 森山恵, 関根努, 齋藤二央

日本放射線技術学会雑誌　66　(9)　1043-1043　2010/09
頭頸部癌の陽子線治療における歯冠アーチファクトの影響とその対策方法に関する検討

鈴木正樹, 鍵谷勝, 加藤貴弘, 横田克次, 岡田利光, 本柳智章, 角谷倫之

日本放射線技術学会総会学術大会予稿集　66回　285-285　2010/02
陽子線治療計画におけるCT-MRのFusion精度に関する検討

関根努, 加藤貴弘, 鍵谷勝, 齋藤二央, 横田克次, 岡田利光, 鈴木正樹, 角谷倫之, 本柳智章

日本放射線技術学会東北部会雑誌　(19)　212-213　2010/02
前立腺癌に対する陽子線治療時におけるOrgan motionの評価

本柳智章, 加藤貴弘, 鍵谷勝, 齋藤二央, 横田克次, 岡田利光, 関根努, 鈴木正樹, 角谷倫之

日本放射線技術学会東北部会雑誌　(19)　204-205　2010/02
頭頸部癌の陽子線治療計画における歯冠アーチファクトの影響とその対策方法に関する検討

鈴木正樹, 角谷倫之, 本柳智章, 岡田利光, 横田克次, 関根努, 齋藤二央, 加藤貴弘, 鍵谷勝

日本放射線技術学会東北部会雑誌　(19)　202-203　2010/02
Dose-volume Comparison of Proton Radiotherapy and Stereotactic Body Radiotherapy for Non-small Cell Lung Cancer Peer-reviewed

N. Kadoya, T. Kato, M. Suzuki, M. Kagiya, T. Saito, T. Nakamura, T. Tomoda, A. Takada, N. Fuwa, Y. Obata

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　78　(3)　S135-S135　2010

ISSN： 0360-3016
治療用陽子線に対するラジオクロミックフィルムの応答特性

加藤貴弘, 鈴木清剛, 角谷倫之, 本柳智章, 岡田利光, 鈴木正樹, 横田克次, 関根努

日本放射線技術学会雑誌　65　(9)　1232-1232　2009/09
A comparison of prone three-dimensional conformal radiotherapy with supine intensity-modulated radiotherapy for prostate cancer: which technique is more effective for rectal sparing? Peer-reviewed

T. Kato, Y. Obata, N. Kadoya, N. Fuwa

BRITISH JOURNAL OF RADIOLOGY　82　(980)　654-661　2009/08

DOI： 10.1259/bjr/96404007 　

ISSN： 0007-1285
Effect of treatment position on normal tissue dose in different clinical target volumes in external beam radiotherapy for prostate cancer

Takahiro Kato, Yasunori Obata, Nobukazu Fuwa, Hideki Shimada, Noriyuki Kadoya

Journal of JASTRO　21　(2)　71-76　2009/06

ISSN： 1040-9564
前立腺癌外部放射線治療における照射体位の違いがリスク臓器線量に及ぼす影響異なる臨床標的体積での検討 Peer-reviewed

加藤貴弘, 小幡康範, 不破信和, 島田秀樹, 角谷倫之

日本放射線腫瘍学会誌　21　(2)　71-76　2009/06

DOI： 10.11182/jastro.21.71 　
原発性非小細胞肺癌に対する炭素線4回照射の初期報告

横内順一, 新城秀典, 不破信和, 角谷倫之, 加藤貴弘, 鍵谷勝, 宮脇大輔, 小田康江, 出水祐介, 村上昌雄, 菱川良夫

Japanese Journal of Radiology　27　(Suppl.)　12-12　2009/04
ラジオクロミックフィルムを用いたガンマナイフの出力係数の評価

伊藤正一, 角谷倫之, 鈴木正樹, 岡善隆, 横張徹男, 本間妙, 増子和弘, 加藤貴弘, 鍵谷勝

日本放射線技術学会東北部会雑誌　(18)　134-135　2009/01
microMOSFET線量計を用いたガンマナイフの出力係数の評価

岡善隆, 角谷倫之, 鈴木正樹, 伊藤正一, 横張徹男, 本間妙, 増子和弘, 加藤貴弘, 五十嵐優

日本放射線技術学会東北部会雑誌　(18)　132-133　2009/01
Monte Carlo code EGSを使用したチェレンコフ光のシミュレーションの検討

角谷倫之, 加藤貴弘, 田伏勝義, 柴田洋希, 青山裕一, 木藤哲史, 増子昌宏

日本放射線技術学会雑誌　63　(9)　994-994　2007/09

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Misc. 88

非小細胞肺がんに対する肺換気画像とレディオミクスによる機械学習ベース放射線肺臓炎予測モデルの開発

毛利詩菜, 角谷倫之, 勝田義之, 田中祥平, 武田一也, 山本貴也, 金井貴幸, 中島祐二朗, 武田賢, 神宮啓一

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　35th　2022
高リスク前立腺癌MRI画像の定量解析による予後予測の検討

川端広聖, 武田一也, 松下晴雄, 梅澤玲, 山本貴也, 石川陽二郎, 片桐佑, 田坂俊, 鈴木友, 寺村聡司, 尾股聡, 佐藤雄太, 角谷倫之, 武田賢, 神宮啓一, 大田英揮

Japanese Journal of Radiology　39　(Supplement)　2021

ISSN： 1867-1071
小型肺癌に対する定位手術的放射線治療の初期経験

山本貴也, 松下晴雄, 角谷倫之, 伊藤謙吾, 千葉貴仁, 梅澤玲, 石川陽二郎, 片桐佑, 武田一也, 田坂俊, 鈴木友, 神宮啓一

Japanese Journal of Radiology　39　(Supplement)　2021

ISSN： 1867-1071
食道癌照射後再発に対する過分割照射の有効性と安全性

武田一也, 松下晴雄, 梅澤玲, 山本貴也, 石川陽二郎, 片桐佑, 田坂俊, 鈴木友, 寺村聡司, 川端広聖, 尾股聡, 佐藤雄太, 角谷倫之, 伊藤謙吾, 千葉貴仁, 神宮啓一

Japanese Journal of Radiology　39　(Supplement)　2021

ISSN： 1867-1071
MRI画像を用いたJacobian解析による全脳照射後の脳萎縮評価

石川陽二郎, 角谷倫之, 根本光, 細谷祐里, 松下晴雄, 梅澤玲, 山本貴也, 片桐佑, 武田一也, 田坂俊, 鈴木友, 尾股聡, 佐藤雄太, 伊藤謙吾, 千葉貴仁, 神宮啓一

Japanese Journal of Radiology　39　(Supplement)　2021

ISSN： 1867-1071
Long-term change in the oral health related QOL of patients treated with definitive radiotherapy for head and neck cancer

神宮啓一, 高橋紀善, 田坂俊, 梅澤玲, 山本貴也, 石川陽二郎, 武田一也, 鈴木友, 角谷倫之, 松下晴雄

頭頸部癌　47　(3)　2021

ISSN： 1349-5747
Report of AAPM Task Group 275~Outline of TG 275 and implementation of double check for treatment plan in clinical practice~

角谷倫之, 伊藤謙吾, 勝田義之, 田中祥平, 田邊俊平, 大橋陽奈, 石田知也, 梅田真梨子, 菅井裕斗, 毛利詩菜, 武田賢, 神宮啓一

日本医学物理学会学術大会教育講演資料　121st　2021

ISSN： 1345-5362
【Q&Aでまとめる! 予後予測・治療効果予測の画像検査】消化管・肝・胆・膵胸部食道癌に対する根治的放射線化学療法の治療効果を予測する画像検査方法は何か?

高橋紀善, 梅澤玲, 古積麻衣子, 山本貴也, 武田一也, 松下晴雄, 石川陽二郎, 鈴木友, 角谷倫之, 勝田義之, 伊藤謙吾, 神宮啓一

臨床放射線　65　(8)　881-885　2020/08
Publisher: 金原出版(株)
ISSN： 0009-9252
Evaluation of the Accuracy of Deformable Image Registration On the TomoTherapy Treatment Planning System

Y Nakajima, R Suganami, S Hashimoto, H Ogawa, N Kadoya, K Karasawa

Medical Physics　47　(6)　e616-e617　2020/06
Publisher: Wiley
DOI： 10.1002/mp.14316 　
体幹部定位放射線治療における視認下能動的呼吸停止システム基盤の開発研究

石川陽二郎, 角谷倫之, 梶川智博, 田中祥平, 松下晴雄, 梅澤玲, 山本貴也, 武田一也, 片桐佑, 田坂俊, 福井勝哉, 鈴木友, 川端広聖, 岸田桂太, 寺村聡司, 尾股聡, 神宮啓一

Japanese Journal of Radiology　38　(Suppl.)　3-3　2020/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
CT画像における肺癌患者の予後予測解析ホモロジーによる新たな挑戦

田中祥平, 角谷倫之, 梶川智博, 松田匠平, 土橋卓, 武田賢, 神宮啓一, 中根和昭

Japanese Journal of Radiology　38　(Suppl.)　9-9　2020/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
モンテカルロ線量計算のためのリニアック構造内光子輸送に基づく関数線源モデル

石澤儀樹, 土橋卓, 武田賢, 角谷倫之, 伊藤謙吾, 千葉貴仁, 高山佳樹, 佐藤清和, 神宮啓一

Japanese Journal of Radiology　38　(Suppl.)　9-9　2020/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
中期経過観察された食道癌化学放射線療法後における心事故と心臓MRI所見の関連性

梅澤玲, 角谷倫之, 松下晴雄, 山本貴也, 石川陽二郎, 片桐佑, 武田一也, 福井勝哉, 田坂俊, 鈴木友, 川端広聖, 岸田桂太, 寺村聡司, 尾股聡, 伊藤謙吾, 高山佳樹, 千葉貴仁, 神宮啓一, 大田英揮, 高瀬圭

Japanese Journal of Radiology　38　(Suppl.)　9-9　2020/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
肺定位放射線治療後の放射線誘発肺障害に対するCT画像評価の検討

山本貴也, 角谷倫之, 松下晴雄, 梅澤玲, 石川陽二郎, 高橋紀善, 片桐佑, 神宮啓一, 森下陽平, 佐藤嘉尚, 武田賢

Japanese Journal of Radiology　38　(Suppl.)　10-10　2020/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
最新医用画像技術 AIと放射線治療

角谷倫之, 松田匠平, 竹内孝至, 梶川智博, 田中祥平, 田邊俊平, 勝田義之, 伊藤謙吾, 神宮啓一

臨床放射線　65　(2)　163-171　2020/02
Publisher: 金原出版(株)
ISSN： 0009-9252
局所型前立腺癌の強度変調放射線治療におけるフルエンスマップに基づく照射野修正法の有効性の検討

山本大晃, 土橋卓, 角谷倫之, 伊藤謙吾, 千葉貴仁, 勝田義之, 佐藤清和, 松下晴雄, 神宮啓一, 武田賢

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　33rd　2020
【レディオミクスの臨床応用の可能性を探る】ディープラーニングレディオミクスを用いた肺がんの放射線治療の予後予測

角谷倫之, 田中祥平, 田邊俊平

MEDICAL IMAGING TECHNOLOGY　38　(1)　4-8　2020/01
Publisher: (一社)日本医用画像工学会
ISSN： 0288-450X
Evaluation of Factors That Affect 4D Cone Beam CT-Ventilation Images for Adaptive Functional Avoidance Radiotherapy

H Nemoto, N Kadoya, T Kajikawa, Y Nakajima, T Kanai, Y Ieko, K, Takeda, K Jingu

Medical Physics　46　(6)　e378-e378　2019/06
Publisher: Wiley
DOI： 10.1002/mp.13589 　
The Feasibility of MVCT-Based Radiomics for Delta-Radiomics in Head and Neck Cancer

K Abe, N Kadoya, S Tanaka, Y Nakajima, S Hashimoto, T Kajikawa, K Karasawa, K Jingu

Medical Physics　46　(6)　e142-e142　2019/06
Publisher: Wiley
DOI： 10.1002/mp.13589 　

ISSN： 0094-2405

eISSN： 2473-4209
【人工知能が医療を変える!医療分野におけるAI研究開発最前線2019】領域別・画像診断におけるAI研究開発の最前線その他ディープラーニングを用いた放射線治療支援技術の開発

角谷倫之

INNERVISION　34　(7)　64-68　2019/06
Publisher: (株)インナービジョン
ISSN： 0913-8919
【放射線治療におけるDeformable Image Registration特集】様々な医用画像に対するDIRと自動輪郭抽出

角谷倫之

医学物理　39　(1)　12-19　2019/05
Publisher: (公社)日本医学物理学会
ISSN： 1345-5354

eISSN： 2186-9634
舌がん以外の頭頸部がんに対する低線量率密封小線源治療

岸田桂太, 神宮啓一, 松下晴雄, 梅澤玲, 山本貴也, 石川陽二郎, 高橋紀善, 片桐佑, 田坂俊, 武田一也, 福井勝哉, 鈴木友, 川端広聖, 寺村聡司, 伊藤謙吾, 角谷倫之, 千葉貴仁, 高山佳樹

Japanese Journal of Radiology　37　(Suppl.)　4-4　2019/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
放射線肺臓炎の発生予測における治療前CTのradiomics解析の有用性

武田一也, 山本貴也, 高橋紀善, 松下晴雄, 梅澤玲, 石川陽二郎, 片桐佑, 田坂俊, 福井勝哉, 鈴木友, 川端広聖, 寺村聡司, 岸田桂太, 神宮啓一, 角谷倫之, 伊藤謙吾, 千葉貴仁, 高山佳樹

Japanese Journal of Radiology　37　(Suppl.)　6-6　2019/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
食道癌放射線治療後晩期有害事象としての胸水(心嚢液)貯留重症例の検討

松下晴雄, 梅澤玲, 山本貴也, 石川陽二郎, 高橋紀善, 片桐佑, 田坂俊, 武田一也, 福井勝哉, 鈴木友, 川端広聖, 寺村聡司, 岸田桂太, 神宮啓一, 角谷倫之, 伊藤謙吾, 千葉貴仁, 高山佳樹

Japanese Journal of Radiology　37　(Suppl.)　6-6　2019/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
前立腺癌におけるIMRTに対する畳み込みニューラルネットワークに基づく線量分布予測法の評価

梶川智博, 角谷倫之, 高山佳樹, 戸森聖治, 伊藤謙吾, 千葉貴仁, 土橋卓, 武田賢, 神宮啓一

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　32nd　2019
局所型前立腺がんに対する三次元原体照射における日々のCBCT画像から算出したDVHに基づく照射野形状最適化の有効性の検討

木村祐利, 土橋卓, 石澤儀樹, 角谷倫之, 伊藤謙吾, 千葉貴仁, 高山佳樹, 佐藤清和, 松下晴雄, 神宮啓一, 武田賢

日本放射線技術学会雑誌　74　(12)　1396-1405　2018/12
Publisher: (公社)日本放射線技術学会
ISSN： 0369-4305

eISSN： 1881-4883
FDG-PETは局所進行食道癌における生命予後を改善せず

神宮啓一, 松下晴雄, 梅澤玲, 山本貴也, 石川陽二郎, 高橋紀善, 角谷倫之, 高浪健太郎

核医学　55　(1)　41-41　2018/12
Publisher: (一社)日本核医学会
ISSN： 0022-7854

eISSN： 2189-9932
胸部領域のCT-based Radiomicsにおける施設毎のロバストなRadiomic特徴量の新たな絞り込み法の開発

田中祥平, 角谷倫之, 佐藤慎哉, 梶川智博, 松田匠平, 土橋卓, 武田賢, 神宮啓一

日本放射線技術学会雑誌　74　(9)　985-986　2018/09
Publisher: (公社)日本放射線技術学会
ISSN： 0369-4305

eISSN： 1881-4883
4DCBCTを用いた経時的な肺機能変化に基づく放射線治療法の開発に向けた初期検討

根本光, 角谷倫之, 梶川智博, 中島祐二朗, 家子義朗, 武田賢, 神宮啓一

日本放射線技術学会雑誌　74　(9)　1004-1004　2018/09
Publisher: (公社)日本放射線技術学会
ISSN： 0369-4305

eISSN： 1881-4883
呼吸性移動対策のための肺腫瘍位置の時系列成分分離に基づく予測

佐藤雄介, 市地慶, 新藤雅大, 張暁勇, 角谷倫之, 小山内実, 高井良尋, 本間経康

日本放射線技術学会雑誌　74　(9)　1092-1093　2018/09
Publisher: (公社)日本放射線技術学会
ISSN： 0369-4305
呼吸性移動対策のための肺腫瘍位置の時系列成分分離に基づく予測

佐藤雄介, 市地慶, 新藤雅大, 張暁勇, 角谷倫之, 小山内実, 高井良尋, 本間経康

日本放射線技術学会雑誌　74　(9)　1092-1093　2018/09
Publisher: (公社)日本放射線技術学会
ISSN： 0369-4305

eISSN： 1881-4883
当院における頭頸部メルケル細胞癌の放射線治療成績

山本貴也, 松下晴雄, 久保園正樹, 田邊隆哉, 石川陽二郎, 古積麻衣子, 高橋紀善, 片桐佑, 武田一也, 田坂俊, 福井勝哉, 鈴木友, 角谷倫之, 伊藤謙吾, 千葉瑞己, 神宮啓一, 土橋卓, 武田賢

Japanese Journal of Radiology　36　(Suppl.)　4-4　2018/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
II・III期食道癌CRTにおける血液検査データと予後との関連

武田一也, 松下晴雄, 久保園正樹, 田邊隆哉, 石川陽二郎, 山本貴也, 古積麻衣子, 高橋紀善, 片桐佑, 田坂俊, 福井勝哉, 鈴木友, 角谷倫之, 伊藤謙吾, 千葉瑞己, 神宮啓一, 武田賢, 土橋卓, 梅澤玲

Japanese Journal of Radiology　36　(Suppl.)　5-5　2018/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
pT3前立腺癌術後PSA再発に対する救済照射症例に関する検討

福井勝哉, 松下晴雄, 久保園正樹, 田邊隆哉, 石川陽二郎, 山本貴也, 古積麻衣子, 高橋紀善, 片桐佑, 武田一也, 田坂俊, 鈴木友, 角谷倫之, 伊藤謙吾, 千葉瑞己, 神宮啓一

Japanese Journal of Radiology　36　(Suppl.)　8-8　2018/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
進行頭頸部癌に対するQuad Shot(1回3.5Gy、BID、1コース14Gy4分割)での治療経験

松下晴雄, 久保園正樹, 田邊隆哉, 石川陽二郎, 山本貴也, 古積麻衣子, 高橋紀善, 片桐佑, 武田一也, 田坂俊, 福井勝哉, 鈴木友, 角谷倫之, 伊藤謙吾, 千葉瑞己, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　36　(Suppl.)　10-10　2018/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
肺癌SRT症例の治療前PETにおけるテクスチャ解析の有用性

武田一也, 松下晴雄, 久保園正樹, 田邊隆哉, 石川陽二郎, 山本貴也, 古積麻衣子, 高橋紀善, 片桐佑, 田坂俊, 福井勝哉, 鈴木友, 角谷倫之, 伊藤謙吾, 千葉瑞己, 神宮啓一, 武田賢, 土橋卓, 高浪健太郎, 高瀬圭, 瀧靖之

Japanese Journal of Radiology　36　(Suppl.)　11-11　2018/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
長期CRが得られた喉頭形質細胞腫の1例

鈴木友, 松下晴雄, 久保園正樹, 田邊隆哉, 石川陽二郎, 山本貴也, 古積麻衣子, 高橋紀善, 武田一也, 田坂俊, 福井勝哉, 角谷倫之, 伊藤謙吾, 千葉瑞己, 神宮啓一, 武田賢, 土橋卓

Japanese Journal of Radiology　36　(Suppl.)　12-12　2018/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
前立腺癌に対する3D-CRTにおけるon-line adaptive radiation therapyの有効性の初期検討

木村祐利, 土橋卓, 石澤儀樹, 角谷倫之, 伊藤謙吾, 千葉貴仁, 高山佳樹, 佐藤清和, 松下晴雄, 神宮啓一, 武田賢

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　31st (CD-ROM)　2018
Impact of rectal gas on the EPID-based in-vivo dosimetry system for IMRT prostate cancer patient

MATSUMOTO Takuya, KADOYA Noriyuki, KON Yoshio, TAKAYAMA Yoshiki, SATO Kiyokazu, ITO Kengo, CHIBA Takahito, DOBASHI Suguru, TAKEDA Ken, JINGU Keiichi

医学物理 Supplement　38　(1)　2018

ISSN： 1345-5362
FDG-PETは局所進行食道癌における生命予後を改善せず

神宮啓一, 松下晴雄, 梅澤玲, 山本貴也, 石川陽二郎, 高橋紀善, 角谷倫之, 高浪健太郎

核医学(Web)　55　(1)　2018

ISSN： 2189-9932
肺SBRT患者におけるCT-based radiomicsを用いた予後予測の有用性の検討

佐藤慎哉, 角谷倫之, 武田一也, 梶川智博, 山本貴也, 武田賢, 神宮啓一

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　31st (CD-ROM)　2018
様々な医用画像に対するDIRと自動輪郭抽出

角谷倫之, 今江禄一, 京谷勉輔, 小玉卓史, 佐々木幹治, 武川英樹, 武村哲浩, 八木雅史, 佐々木良平

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　31st (CD-ROM)　2018
CT画像から作成する肺機能画像の臨床利用に向けて最適なCT撮影法の検討

中島祐二朗, 木藤哲史, 唐澤克之, 角谷倫之, 神宮啓一

東京都福祉保健医療学会抄録　13回　28-29　2017/11
Publisher: (公財)東京都福祉保健財団人材養成部職員研修室
Evaluation of Lung Toxicity Risk with Computed Tomography Ventilation Functional Image for Lung Stereotactic Body Radiation Therapy and Three-Dimensional Conformal Radiation Therapy

M. Otsuka, H. Monzen, N. Kadoya, M. Inada, K. Matsumoto, Y. Nishimura

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　99　(2)　E708-E708　2017/10

ISSN： 0360-3016

eISSN： 1879-355X
心臓MRI検査を用いた食道癌化学放射線療法後の心筋障害に対する前向き研究

梅澤玲, 角谷倫之, 大田英揮, 中島祐二朗, 齋藤正英, 高橋紀善, 高瀬圭, 神宮啓一

日本癌治療学会学術集会抄録集　55回　P127-3　2017/10
Publisher: (一社)日本癌治療学会
Educational outcomes of a medical physicist program over the past 10 years in Japan

Noriyuki Kadoya, Kumiko Karasawa, Iori Sumida, Hidetaka Arimura, Yasumasa Kakinohana, Shigeto Kabuki, Hajime Monzen, Teiji Nishio, Hiroki Shirato, Syogo Yamada

JOURNAL OF RADIATION RESEARCH　58　(5)　669-674　2017/09

DOI： 10.1093/jrr/rrx016 　

ISSN： 0449-3060

eISSN： 1349-9157
Comparison Between Pulmonary Ventilation-Based Dose-Function Metrics and Perfusion-Based Dose-Function Metrics in Radiotherapy for Lung Cancer

Y Nakajima, N Kadoya, T Kimura, K Hioki, T Yamamoto

Medical Physics　44　(6)　3280-3280　2017/06
Publisher: Wiley
DOI： 10.1002/mp.12304 　
Impact of 4D-CT Ventilation Image-Based Proton Radiotherapy for Stereotactic Body Radiotherapy

Y Ieko, N Kadoya, T Kanai, Y Nakajima, K Arai, T Kato, K Ito, Y Miyasaka, K Takeda, K Jingu

Medical Physics　44　(6)　3040-3040　2017/06
Publisher: Wiley
DOI： 10.1002/mp.12304 　
Impact of Optimal Weighting for Functional Lung Avoidance Using CT Ventilation

T Kanai, N Kadoya, Y Nakajima, Y Miyasaka, Y Ieko, T Kajikawa, K Ito, T Yamamoto, S Dobashi, K Takeda, K Nemoto, K Jingu

Medical Physics　44　(6)　2811-2812　2017/06
Publisher: Wiley
DOI： 10.1002/mp.12304 　
Feasibility of a Novel Evaluation Method for Deformable Image Registration-Based Dose Accumulation for HDR Brachytherapy with a 3D-Printed Deformable Phantom

K Abe, N Kadoya, S Hashimoto, Y Miyasaka, Y Nakajima, K Ito K Sato, K Takeda, K Jingu

Medical Physics　44　(6)　2778-2778　2017/06
Publisher: Wiley
DOI： 10.1002/mp.12304 　
心臓MRI検査を用いた食道癌化学放射線療法後の心筋障害に対する前向き研究

梅澤玲, 角谷倫之, 大田英揮, 高橋紀善, 高瀬圭, 神宮啓一

日本食道学会学術集会プログラム・抄録集　71回　P27-7　2017/06
Publisher: (NPO)日本食道学会
診断と治療の融合技術 MR-Linac融合装置の現状

角谷倫之

医学物理　36　(4)　229-235　2017/05
Publisher: (一社)日本医学物理学会
ISSN： 1345-5354
CTから作成する肺機能画像の治療計画への利用に向けて:4D-CT vs 息止めCT

中島祐二朗, 角谷倫之, 木藤哲史, 岡野智之, 神宮啓一, 二瓶圭二, 唐澤克之

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　30th　2017
4DCT換気能を用いた放射線肺臓炎の予測

金井貴幸, 角谷倫之, 中島祐二朗, 中島祐二朗, 宮坂友侑也, 家子義朗, 伊藤謙吾, 山本貴也, 土橋卓, 武田賢, 根本建二, 神宮啓一

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　30th　2017
MRI-LINACにおける磁場不均一の有無による肺線量分布の変化

伊藤謙吾, 角谷倫之, 中島祐二朗, 中島祐二朗, 高山佳樹, 宮坂友侑也, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　30th　2017
胸部領域におけるユーザーガイド非剛体位置合わせの有効性検討

中島祐二朗, 木藤哲史, 唐澤克之, 角谷倫之, 神宮啓一, 金井貴幸, 齋藤正英

東京都福祉保健医療学会抄録　12回　218-219　2016/11
Publisher: (公財)東京都福祉保健財団人材養成部職員研修室
Deformable Image Registration Accuracy Between External Beam Radiotherapy and HDR Brachytherapy CT Images for Cervical Cancer Using a 3D-Printed Deformable Pelvis Phantom

Y. Miyasaka, N. Kadoya, Y. Kuroda, K. Ito, M. Chiba, Y. Nakajima, K. Sato, S. Dobashi, K. Takeda, K. Jingu

MEDICAL PHYSICS　43　(6)　3736-3737　2016/06

DOI： 10.1118/1.4957424 　

ISSN： 0094-2405

eISSN： 2473-4209
Fast Calculation of Three-Dimensional Dose Considering MLC Leaf Positional Errors for VMAT Plans

Y. Katsuta, N. Kadoya, E. Shimizu, K. Majima, K. Jingu

MEDICAL PHYSICS　43　(6)　3551-3551　2016/06

DOI： 10.1118/1.4956566 　

ISSN： 0094-2405

eISSN： 2473-4209
Evaluating the Toxicity Reduction with CT-Ventilation Functional Avoidance Radiation Therapy

Y. Vinogradskiy, Y. Miyasaka, N. Kadoya, R. Castillo, E. Castillo, T. Guerrero, T. Yamamoto

MEDICAL PHYSICS　43　(6)　2016/06

DOI： 10.1118/1.4957742 　

ISSN： 0094-2405

eISSN： 2473-4209
Feasibility of CBCT-Based Proton Dose Calculation Using a Histogram-Matching Algorithm in Proton Beam Therapy

K. Arai, N. Kadoya, T. Kato, H. Endo, S. Komori, Y. Abe, K. Hirose, T. Nakamura, H. Wada, Y. Kikuchi, K. Jingu

MEDICAL PHYSICS　43　(6)　2016/06

DOI： 10.1118/1.4958197 　

ISSN： 0094-2405

eISSN： 2473-4209
Dosimetric Evaluation of Dynamic Tumor Tracking Radiation Therapy Using Digital Phantom: A Study On Margin and Desired Accuracy of Tracking

T. Uchida, N. Kadoya, K. Ichiji, Y. Nakajima, K. Jingu, M. Osanai, K. Takeda, Y. Takai, N. Homma

MEDICAL PHYSICS　43　(6)　3638-3638　2016/06

DOI： 10.1118/1.4956939 　

ISSN： 0094-2405

eISSN： 2473-4209
Multi-Institutional Validation Study of Commercially Available Deformable Image Registration Software for Thoracic Images

N. Kadoya, Y. Nakajima, M. Saito, Y. Miyabe, M. Kurooka, S. Kito, M. Sasaki, Y. Fujita, K. Arai, K. Tani, M. Yagi, A. Wakita, N. Tohyama, K. Jingu

MEDICAL PHYSICS　43　(6)　3736-3736　2016/06

DOI： 10.1118/1.4957423 　

ISSN： 0094-2405

eISSN： 2473-4209
Feasibility of Magnetic Susceptibility to Relative Electron Density Conversion Method for Radiation Therapy

K. Ito, N. Kadoya, M. Chiba, K. Sato, T. Nagasaka, K. Yamanaka, S. Dobashi, K. Takeda, H. Matsushita, K. Jingu

MEDICAL PHYSICS　43　(6)　3392-3392　2016/06

DOI： 10.1118/1.4955852 　

ISSN： 0094-2405

eISSN： 2473-4209
東北大学病院における喉頭癌T2症例の検討

山本貴也, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 角谷倫之, 石川陽二郎, 古積麻衣子, 高橋紀善, 伊藤謙吾, 片桐佑, 武田賢, 土橋卓, 神宮啓一, 小川武則, 香取幸夫

Japanese Journal of Radiology　34　(Suppl.)　5-5　2016/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
CBCTとDeformable image registrationを用いた前立腺癌IMRTの臓器変動を考慮した合算線量の評価

高山佳樹, 角谷倫之, 伊藤謙吾, 千葉瑞己, 藤原康生, 宮坂友侑也, 土橋卓, 佐藤清和, 武田賢, 神宮啓一

日本放射線腫瘍学会高精度放射線外部照射部会学術大会プログラム・抄録集　29th　2016
食道癌化学放射線療法における心臓照射線量と心筋脂肪酸代謝障害の関連 BMIPP SPECT/CTによる経時的評価

高浪健太郎, 荒井晃, 梅澤玲, 角谷倫之, 竹内孝至, 神宮啓一, 高瀬圭

日独医報　60　(2)　240-240　2015/11
Publisher: バイエル薬品(株)
ISSN： 0912-0351
Mechanism of development and countermeasure for radiation-induced myocardial disorder

JINGU KEIICHI, UMEZAWA REI, MATSUSHITA HARUO, KUBOZONO MASAKI, KADOYA NORIYUKI, SHIRATA YUKO, YAMAMOTO TAKAYA, ISHIKAWA YOJIRO, KOZUMI MAIKO, TAKAHASHI NORIYOSHI, KATAGIRI YU

臨床放射線　60　(10)　1221-1224　2015/10/10
Publisher: 金原出版(株)
ISSN： 0009-9252
Association between radiation dosimetry of the heart and the myocardial fatty acid metabolic impairment due to chemoradiation-therapy : Prospective study using I-123 BMIPP SPECT/CT

K. Takanami, R. Umezawa, N. Kadoya, A. Arai, K. Jingu, K. Takase

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING　42　S284-S285　2015/10

ISSN： 1619-7070

eISSN： 1619-7089
【有害事象をいかに防止するか?】放射線心筋障害の機序と対策

神宮啓一, 梅澤玲, 松下晴雄, 久保園正樹, 角谷倫之, 白田佑子, 山本貴也, 石川陽二郎, 古積麻衣子, 高橋紀善, 片桐佑

臨床放射線　60　(10)　1221-1224　2015/10
Publisher: 金原出版(株)
ISSN： 0009-9252
Changes in Regional Lung Function Measured by 4D-CT Ventilation Imaging for Thoracic Radiotherapy

Y. Nakajima, N. Kadoya, S. Kabus, B. Loo, P. Keall, T. Yamamoto

MEDICAL PHYSICS　42　(6)　3630-3631　2015/06

ISSN： 0094-2405
The Impact of the Tumor Location to Deformable Image Registration

Y. Sugawara, H. Tachibana, N. Kadoya, N. Kitamura, K. Jingu

MEDICAL PHYSICS　42　(6)　3289-3289　2015/06

ISSN： 0094-2405
A Quality Assurance Procedure for VMAT Delivery Technique with Multiple Verification Metric Using TG-119 Protocol

Y. Katsuta, N. Kadoya, E. Shimizu, K. Matsunaga, M. Inoue, K. Majima, K. Jingu

MEDICAL PHYSICS　42　(6)　3346-3346　2015/06

ISSN： 0094-2405
pT3前立腺癌術後PSA failureに対する放射線単独局所治療成績

神宮啓一, 梅澤玲, 松下晴雄, 菅原俊幸, 久保園正樹, 阿部恵子, 藤本俊裕, 山本貴也, 石川陽二郎, 古積麻衣子, 高橋紀善, 角谷倫之, 藤田幸男, 伊藤謙吾

Japanese Journal of Radiology　33　(Suppl.)　11-11　2015/02
Publisher: (公社)日本医学放射線学会
ISSN： 1867-1071

eISSN： 1867-108X
The impact of audio-visual biofeedback with a patient-specific guiding waveform on respiratory motion management: Comparison of two different respiratory management systems

Y. Nakajima, N. Kadoya, S. Kida, K. Ito, T. Kanai, K. Kishi, K. Sato, S. Dobashi, K. Takeda, H. Matsushita, K. Jingu

WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, 2015, VOLS 1 AND 2　51　587-590　2015

DOI： 10.1007/978-3-319-19387-8_144 　

ISSN： 1680-0737
4D CTによる肺機能画像を用いた生理機能学的な線量最適化の試み

木田智士, 角谷倫之, 金井貴幸, 伊藤謙吾, 小野里侑祐, 神宮啓一

日本放射線技術学会雑誌　70　(11)　1353-1359　2014/11
Publisher: (公社)日本放射線技術学会
DOI： 10.6009/jjrt.2014_JSRT_70.11.1353 　

ISSN： 0369-4305

eISSN： 1881-4883
Clinical Factors With Respect to Cervical Body Volume Reduction During Definitive External Beam Radiation Therapy for Oropharyngeal Squamous Cell Carcinoma

K. Takeda, S. Dobashi, S. Komori, K. Chida, N. Kadoya, K. Itoh, T. Sugawara, M. Kubozono, R. Umezawa, Y. Ishikawa, T. Yamamoto, T. Fujimoto, M. Kozumi, Y. Onozato, T. Suzuki, H. Matsushita, K. Jingu

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS　90　S511-S511　2014/09

ISSN： 0360-3016

eISSN： 1879-355X
Future Direction of Image-Guided Radiotherapy for Localized Prostate Cancer for more Precise and Conformal Treatment Delivery

Ken Takeda, Rei Umezawa, Yohjiro Ishikawa, Noriyuki Kadoya, Kengo Ito, Toshiyuki Sugawara, Masaki Kubozono, Takaya Yamamoto, Maiko Kozumi, Suguru Dobashi, Koichi Chida, Haruo Matsushita, Keichi Jingu

J Radiol Radiat Ther　2014/07/01
Publisher: SciMedCentral
Prognostic Probability of FDG-PET before Stereotactic Ablative Radiotherapy for Primary Lung Cancer –Review of the Literature.

Jingu K, Yamamoto T, Kaneta T, Kadoya N, Takeda K, Matsushita H

2014/07/01
頭頸部癌に対する適応放射線治療の基礎研究頭頸部外部放射線治療期間中の頸部体積減少の傾向

小森慎也, 武田賢, 土橋卓, 角谷倫之, 藤田幸男, 伊藤謙吾, 神宮啓一, 岸和馬

日本放射線技術学会東北部会雑誌　(23)　102-102　2014/01
Publisher: (公社)日本放射線技術学会-東北支部
骨盤領域におけるdeformable image registrationを用いた自動輪郭抽出の精度評価

阿部良知, 新井一弘, 武田賢, 土橋卓, 角谷倫之, 藤田幸男, 神宮啓一, 岸和馬, 梁川功

日本放射線技術学会東北部会雑誌　(23)　185-185　2014/01
Publisher: (公社)日本放射線技術学会-東北支部
Deformable Image Registrationを用いたDose-warpingに生じる線量誤差の検討

伊藤謙吾, 角谷倫之, 藤田幸男, 松下晴雄, 神宮啓一, 新井一弘, 武田賢, 土橋卓, 岸和馬

日本放射線技術学会東北部会雑誌　(23)　186-186　2014/01
Publisher: (公社)日本放射線技術学会-東北支部
B-splineを用いたdeformable image registrationの高精度化の検討

金井貴幸, 曹翔永, 土橋卓, 武田賢, 角谷倫之, 藤田幸男, 伊藤謙吾, 神宮啓一, 岸和馬

日本放射線技術学会東北部会雑誌　(23)　187-187　2014/01
Publisher: (公社)日本放射線技術学会-東北支部
複数のアルゴリズムを用いた頭頸部領域における自動輪郭抽出の精度評価

千葉瑞己, 新井一弘, 土橋卓, 武田賢, 角谷倫之, 藤田幸男, 伊藤謙吾, 神宮啓一, 岸和馬

日本放射線技術学会東北部会雑誌　(23)　188-188　2014/01
Publisher: (公社)日本放射線技術学会-東北支部
Clinical factors relevant to regional body volume changes during radical external radiotherapy for head and neck cancer

S. Komori, K. Takeda, S. Dobashi, N. Kadoya, Y. Fujita, K. Ito, T. Yamamoto, R. Umezawa, H. Matsushita, K. Jingu, K. Kishi, K. Sato

Japanese Journal of Clinical Radiology　59　733-739　2014/01/01

ISSN： 0009-9252
Radiochromic Filmを用いたIMRT線量分布検証の試み(放射線防護分科会パネルディスカション「線量管理はできるのか?できないのか?」,第36回放射線防護分科会)

佐藤清和, 岸和馬, 佐藤尚志, 松原健一, 角谷倫之, 藤田幸男, 土橋卓, 梁川功

放射線防護分科会会誌　36　(0)　47-48　2013
Publisher: 公益社団法人日本放射線技術学会
ISSN： 1345-3246
Dose-volume Comparison of Proton Radiotherapy and Stereotactic Body Radiotherapy for Non-small-cell Lung Cancer

KADOYA Noriyuki

67　(10)　1366-1366　2011/10/20

ISSN： 0369-4305
Feasubility Study of Absorbed Dose Estimation Using Radiophotoluminescence Glass Dosimeter for Proton Therapeutic Beam

W. Chang, N. Kadoya, S. Hashimoto, Y. Fujita, T. Kato, H. Saitoh

MEDICAL PHYSICS　38　(6)　3514-U48　2011/06

DOI： 10.1118/1.3612075 　

ISSN： 0094-2405

eISSN： 2473-4209
Fundamental examination of the dosimetry of proton beam with radiophoto luminescence dosimeter

SHIBATA Hiroki, KADOYA Noriyuki, TABUSHI Katsuyoshi, NEJIGAKI Chihiro, OSHIMA Takashi, KATO Takahiro, AOYAMA Yuichi, SUGA Daisaku, OBATA Yasunori

28　293-294　2008/04/01

ISSN： 1345-5354

Show all ︎Show first 5

Books and Other Publications 6

スイスイわかる放射線治療物理学

唐澤, 久美子, 西尾, 禎治, 小澤, 修一

学研メディカル秀潤社,学研プラス (発売)　2021/05

ISBN: 9784780909920
詳説非剛体レジストレーション : 放射線治療領域

木藤, 哲史, 角谷, 倫之, 黒岡, 将彦, 武川, 英樹, 藤田, 幸男, 宮部, 結城

中外医学社　2020/12

ISBN: 9784498065284
放射線治療AIと外科治療AI

有村, 秀孝, 諸岡, 健一

オーム社　2020/04

ISBN: 9784274225475
医療AIとディープラーニングシリーズ

藤田, 広志

オーム社　2019/04
詳説放射線治療の精度管理と測定技術―高精度放射線治療に対応した実践Q&A

黒岡将彦, 脇田明尚, 遠山尚紀, 熊崎祐, 宮浦和徳

中外医学社　2012/11

ISBN: 4498065263
米国医学物理学会タスクグループ142レポート（日本語版）

角谷倫之, 熊崎祐, 黒岡将彦

2012/09

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Presentations 120

MR-Linac Invited

Noriyuki Kadoya

2020/11/01
医学物理士になるには Invited

Noriyuki Kadoya

2020/10/05
On-line adaptive radiotherapy with AI technology Invited

Noriyuki Kadoya

2020/10/01
Adaptive radiotherapy Invited

Noriyuki Kadoya

2020/10/01
高精度な患者個別放射線治療を実現するレディオミクス技術 Invited

Noriyuki Kadoya

2020/05/01
放射線治療におけるMR画像の利用 Invited

Noriyuki Kadoya

2019/12/01
最新医用画像技術-DIRとAIと放射線治療 Invited

Noriyuki Kadoya

2019/11/01
肺癌患者のCT画像に対する位相幾何学的概念を用いた予後解析法 Invited

Noriyuki Kadoya

2019/11/01
DIRの臨床応用 Invited

Noriyuki Kadoya

2019/09/15
DIRの概要 Invited

Noriyuki Kadoya

2019/09/04
DIRの概要 Invited

Noriyuki Kadoya

2019/09/01
機械学習とMIM-DIRを組み合わせた前立腺内尿道位置推定法の開発 Invited

Noriyuki Kadoya

2019/06/01
小線源治療におけるdeformable image registration Invited

Noriyuki Kadoya

2019/05/22
Adaptive radiotherapyの最前線-ARTはどこまで進歩し、今後どうなるか？ Invited

Noriyuki Kadoya

2019/03/25
レディオミクス"が放射線治療にやってきた！～これまでの常識が変わる～ Invited

Noriyuki Kadoya

2019/03/17
放射線治療におけるAIの動向 Invited

Noriyuki Kadoya

2019/03/13
適応放射線治療 Invited

Noriyuki Kadoya

2019/03/10
DIRの概要 Invited

Noriyuki Kadoya

2019/02/25
ARTにかかせないDIR:限界と将来展望 Invited

Noriyuki Kadoya

2019/02/03
放射線治療計画支援ソフトウェアについて Invited

Noriyuki Kadoya

2019/01/20
Deformable image registrationとAdaptive radiotherapy

首都大学東京がんプロフェッショナル養成推進プラン主催臨床医学物理セミナー　2015/03/07
Deformable image registrationの基礎と放射線治療への応用

千葉の放射線治療研究会　2015/02/07
4D-CT ventilation IGRT における肺機能推定の不確かさの検討

金井貴幸, 角谷倫之, 木田智士, 伊藤謙吾, 小野里侑祐, 武田賢, 土橋卓, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第27回学術大会　2014/12/11
ガイド波形を用いたvisual feedbackと胸腹部2点測定式呼吸モニタリング装置による呼吸管理の精度評価

中島祐二朗, 角谷倫之, 木田智士, 伊藤謙吾, 金井貴幸, 武田賢, 土橋卓, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第27回学術大会　2014/12/11
前立腺癌VMATの患者QAにおける患者線量再構成ソフトウェアの精度検証

齋藤正英, 角谷倫之, 木田智士, 伊藤謙吾, 武田賢, 土橋卓, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第27回学術大会　2014/12/11
治療計画最適化のためのdeformable image registrationの有効性と問題点 -臨床利用することに問題はないのか-

日本放射線腫瘍学会第27回学術大会　2014/12/11
胸部4DCT画像を用いた非線形線量分布変形法に生じる線量誤差の検討

伊藤謙吾, 角谷倫之, 木田智士, 金井貴幸, 中島祐二朗, 武田賢, 土橋卓, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第27回学術大会　2014/12/11
DIRを用いたdose-warpingによる積算線量評価の有用性の検討

新井一弘, 角谷倫之, 伊藤謙吾, 武田賢, 土橋卓, 岸和馬, 佐藤清和, 小山翔, 加藤貴弘, 神宮啓一

日本放射線腫瘍学会第27回学術大会　2014/12/11
3種類のDIRソフトウェアを用いた骨盤領域内における自動輪郭抽出の精度評価

阿部良知, 角谷倫之, 新井一弘, 千葉瑞己, 武田賢, 土橋卓, 岸和馬, 小山翔, 加藤貴弘, 神宮啓一

日本放射線腫瘍学会第27回学術大会　2014/12/11
肺がんにおけるDIRのソフトウェアプログラム間比較検証

菅原康晴, 守屋駿佑, 橘英伸, 北村望, 角谷倫之, 神宮啓一

日本放射線腫瘍学会第27回学術大会　2014/12/11
外照射併用IGBTにおける積算線量評価システムの構築 -中間報告と今後の方針-

マイクロセレクトロンHDR研究会　2014/12/06
医学物理士から見た放射線治療計画に必要な解剖学とコンツーリングの重要性

医学物理学ミニ講座　2014/11/07
モンテカルロシミュレーションを用いた眼窩領域の電子線治療における水晶体防護物質の検討

中島祐二朗, 角谷倫之, 伊藤謙吾, 土橋卓, 武田賢, 神宮啓一

第3回東北放射線医療技術学術大会　2014/10/25
治療計画支援ソフトウェアiVASの精度検証

齋藤正英, 角谷倫之, 木田智士, 伊藤謙吾, 金井貴幸, 岸和馬, 土橋卓, 武田賢

第3回東北放射線医療技術学術大会　2014/10/25
Dosimetric impact of 4D-CT ventilation imaging-based functional treatment planning International-presentation

Noriyuki Kadoya, Sang Yong Cho, Takayuki Kanai, Kengo Ito, Yusuke Onozato, Kazuma Kishi, Suguru Dobashi, Takaya Yamamoto, Rei Umezawa, Ken Takeda, Keiichi Jingu

2014 Annual Meeting of American Society for Radiation Oncology　2014/09/14
Clinical factor with respect to cervical boday volume reduction during definitive external beam radiation therapy for oropharyngeal squamous cell carcinoma International-presentation

K. Takeda, S. Dobashi, S. Komori, K.Chiba, N Kadoya, K. Ito, T. Sugawara, M. Kubozono, R. Umezawa, Y. Ishikawa, T. Yamamoto, T. Fujimoto, M. Kozumi, Y. Onozato, T. Suzuki, H. Matsushita, K. Jingu

2014 Annual Meeting of American Society for Radiation Oncology　2014/09/14
Clinical factor with respect to cervical boday volume reduction during definitive external beam radiation therapy for Hypopharyngeal squamous cell carcinoma International-presentation

K. Takeda, S. Dobashi, S. Komori, K.Chiba, N Kadoya, K. Ito, T. Sugawara, M. Kubozono, R. Umezawa, Y. Ishikawa, T. Yamamoto, T. Fujimoto, M. Kozumi, Y. Onozato, T. Suzuki, H. Matsushita, K. Jingu

2014 Annual Meeting of American Society for Radiation Oncology　2014/09/14
Assessment of myocarial metabolic disorder associated with mediastinal radiation therapy for esophagel cancer International-presentation

R. Umezawa, K. Takanami, H. Ota, T. Kaneta, N. Kadoya, Y.Fujita, A. Arai, K. Arai, H. Matsushita, K. Takse, K. Jingu

2014 Annual Meeting of American Society for Radiation Oncology　2014/09/14
Long-term results of chemoradiation therapy for stage II-III thoracic esophagel cancer: comparison of 3 protocols International-presentation

R. Umezawa, K. Jingu, T. Sugawara, M. Kubozono, K. Abe, T. Fujimoto, T. Yamamoto, Y. Ishikawa, M. Kozumi, N. Kadoya, K. Takeda

2014 Annual Meeting of American Society for Radiation Oncology　2014/09/14
Impact of tumor attachment to the pleura measured by a pretreatment CT image on outcome of stage I NSCLC treated with stereotactic body radiation therapy International-presentation

T. Yamamoto, N. Kadoya, T. Takahashi, H. Matsushita, Y. Shirata, T. Sugawara, M. Kubozono, R. Umezawa, K. Abe, S. Fujimoto, Y. Ishikawa, M. Kozumi, K. Takeda, K. Jingu

2014 Annual Meeting of American Society for Radiation Oncology　2014/09/14
EGS5を用いた眼窩領域の電子線治療における水晶体防護物質の検討

中島祐二朗, 角谷倫之, 土橋卓, 岸和馬, 佐藤清和, 武田賢, 神宮啓一

第21回EGS研究会　2014/08/03
EGS5を用いた高エネルギーX線照射時の歯科修復金属からの散乱線遮蔽物の設計

齋藤正英, 角谷倫之, 土橋卓, 武田賢, 神宮啓一

第21回EGS研究会　2014/08/03
MOSAIQのアメリカでの使用経験

エレクタオンコロジーミーティング　2014/08/02
VMATの運用

医学物理士会講習会　2014/07/05
2種類のアルゴリズムを用いた骨盤領域内の自動輪郭描出の精度評価

阿部良知, 角谷倫之, 藤田幸男, 新井一弘, 千葉瑞己, 武田賢, 土橋卓, 岸和馬, 梁川功, 神宮啓一

第107回日本医学物理学会学術大会　2014/04/10
Evaluation of 4D-CT Pulmonary Ventilation Imaging for Ventilation-guided Radiotherapy

Takayuki Kanai, Noriyuki Kadoya, Yusuke Onozato, Kengo Ito, Sang Yong Cho, Ken Takeda, Suguru Dobashi, Kazuma Kishi, Kiyokazu Sato, Keiichi Jingu

第107回日本医学物理学会学術大会　2014/04/10
Adaptive Radiotherapyにおける最適な線量計算用CT画像の検証

千葉瑞己, 角谷倫之, 伊藤謙吾, 新井一弘, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

第107回日本医学物理学会学術大会　2014/04/10
Deformable image registrationとAdaptive radiotheapy

首都大学東京がんプロフェッショナル養成推進プラン主催臨床医学物理セミナー　2014/03/29
Tohoku University Lung Imaging Project: Toward 4D-CT Ventilation Image-guided Radiotherapy International-presentation

1st GI-CorRE Medical Science and Engineering Syposium　2014/02/23
市販DIRソフトウェアの臨床における有用性と課題

東北ラジセラ研究会　2014/02/15
臨床研究型医学物理士の魅力～「Made in Japan」を世界へ～

九州大学がんプロフェッショナル養成推進プラン医学物理セミナー　2014/01/28
骨盤領域におけるdeformable image registrationを用いた自動輪郭描出の精度評価

阿部良知, 角谷倫之, 藤田幸男, 新井一弘, 武田賢, 土橋卓, 岸和馬, 梁川功, 神宮啓一

第3回東北放射線医療技術学術大会　2013/11/02
Deformable Image Registrationを用いたDose-warpingに生じる線量誤差の検討

伊藤謙吾, 角谷倫之, 藤田幸男, 新井一弘, 武田賢, 土橋卓, 岸和馬, 松下晴雄, 神宮啓一

第3回東北放射線医療技術学術大会　2013/11/02
B-splineを用いたdeformable image registrationの高精度化の検討

金井貴幸, 角谷倫之, 藤田幸男, 伊藤謙吾, 曹翔永, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

第3回東北放射線医療技術学術大会　2013/11/02
3DVHを用いたVMAT線量検証手法の精度検証とその有用性の検討

小笠原誠, 角谷倫之, 藤田幸男, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

第3回東北放射線医療技術学術大会　2013/11/02
複数のアルゴリズムを用いた頭頚部領域における自動輪郭抽出の精度評価

千葉瑞己, 角谷倫之, 藤田幸男, 伊藤謙吾, 新井和弘, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

第3回東北放射線医療技術学術大会　2013/11/02
4DCT ventilation image-guided radiotherapyに向けた肺機能領域の精度評価

角谷倫之, 藤田幸男, 伊藤謙吾, 曹翔永, 金井貴幸, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第25回学術大会　2013/10/18
肺がんに対する肺機能を考慮したSBRT治療計画の検討

曹翔永, 角谷倫之, 藤田幸男, 伊藤謙吾, 金井貴幸, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第25回学術大会　2013/10/18
4DCT ventilation IGRTにおける肺高機能領域のDIR依存性誤差の解析

金井貴幸, 角谷倫之, 藤田幸男, 伊藤謙吾, 曹翔永, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第25回学術大会　2013/10/18
CBCT based adaptive radiotherapyに向けた自動輪郭抽出と線量計算精度評価法の構築

千葉瑞己, 角谷倫之, 藤田幸男, 伊藤謙吾, 新井和弘, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第25回学術大会　2013/10/18
4D-CTとdeformable image registrationを用いた肺機能イメージングの開発と治療計画への応用

角谷倫之, 藤田幸男, 伊藤謙吾, 高橋紀善, 古積麻衣子, 山本貴也, 阿部恵子, 梅澤玲, 久保園正樹, 菅原俊幸, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

第129回日本医学放射線学会北日本地方会　2013/10/04
CBCT-based adaptive radiotherapyに向けた骨盤CBCT画像の線量計算精度向上

小野里侑祐, 角谷倫之, 藤田幸男, 伊藤謙吾, 高橋紀善, 古積麻衣子, 山本貴也, 阿部恵子, 梅澤玲, 久保園正樹, 菅原俊幸, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

第129回日本医学放射線学会北日本地方会　2013/10/04
pT3前立腺癌術後PSAfailureに対する救済放射線単独治療成績

神宮啓一, 梅澤玲, 松下晴雄, 菅原俊幸, 阿部恵子, 藤本俊裕, 山本貴也, 石川陽二郎, 角谷倫之, 藤田幸男, 伊藤謙吾, 武田賢, 土橋卓

第129回日本医学放射線学会北日本地方会　2013/10/04
当院での乳房温存術後boost照射について

松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 藤本俊裕, 山本貴也, 石川陽二郎, 角谷倫之, 藤田幸男, 伊藤謙吾, 神宮啓一, 武田賢, 土橋卓

第129回日本医学放射線学会北日本地方会　2013/10/04
Comparison of Cumulative Dose in the Spinal Cord Using Rigid Registration and Nonrigid Registration for 2-Step Adaptive Intensity Modulated Radiation Therapy for Head-and-Neck Cancer International-presentation

Kazuhiro Arai, Noriyuki Kadoya, Yukio Fujita, Kazuma Kishi, Kiyokazu Sato, Ken Takeda, Suguru Dobashi, Haruo Matsushita, Keiichi Jingu

2013 Annual Meeting of American Society for Radiation Oncology　2013/09/22
Evaluation of On-Board kV Cone Beam CT-Based Dose Calculation Using Deformable Image Registration and Modification of HU Values International-presentation

Yusuke Onozato, Noriyuki Kadoya, Yukio Fujita, Kazuhiro Arai, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Kiyokazu Satou, Yu Kumazaki, Keiichi Jingu

2013 Annual Meeting of American Society for Radiation Oncology　2013/09/22
Reassessing the Prognostic Value of the Maximum Standardized Uptake Value (SUVmax) in FDG-PET by Correcting for the Partial Volume Effect and Respiratory Motion Blur in Stage I Non-Small Cell Lung Cancer Treated With Stereotactic Body Radiation Therapy International-presentation

T Yamamoto, N Kadoya, Y Shirata, R Umezawa, M Kubozono, T Sugawara, T Kaneta, H Matsushita, K Takeda, K Jingu

2013 Annual Meeting of American Society for Radiation Oncology　2013/09/22
VariSeedを用いたAu-198密封小線源治療の線量分布計算

伊藤謙吾, 角谷倫之, 藤田幸男, 高橋紀善, 古積麻衣子, 山本貴也, 阿部恵子, 梅澤玲, 久保園正樹, 菅原俊幸, 松下晴雄, 神宮啓一, 武田賢, 土橋卓

第128回日本医学放射線学会北日本地方会　2013/06/14
甲状腺MALTリンパ腫に対し放射線治療を行い長期経過観察中の症例

平塚裕介, 松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 角谷倫之, 藤田幸男, 伊藤謙吾, 山本貴也, 土橋卓, 武田賢, 神宮啓一

第128回日本医学放射線学会北日本地方会　2013/06/14
東北大学病院における食道癌に対する放射線治療経験

高橋紀善, 松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 角谷倫之, 藤田幸男, 伊藤謙吾, 山本貴也, 土橋卓, 武田賢, 神宮啓一

第128回日本医学放射線学会北日本地方会　2013/06/14
乳癌上腕骨転移照射後の上腕浮腫、末梢神経障害に対し200回超の高気圧療法を施行、奏効している症例

松下晴雄, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 古積麻衣子, 高橋紀善, 角谷倫之, 藤田幸男, 伊藤謙吾, 山本貴也, 土橋卓, 武田賢, 神宮啓一

第128回日本医学放射線学会北日本地方会　2013/06/14
モンテカルロ法を用いた四次元線量分布計算コードの開発

藤田幸男, 角谷倫之, 伊藤謙吾, 菅原俊幸, 梅澤玲, 久保園正樹, 阿部恵子, 古積麻衣子, 高橋紀善, 山本貴也, 土橋卓, 武田賢, 神宮啓一

第128回日本医学放射線学会北日本地方会　2013/06/14
pre-treatment dose QA の測定データを用いてRTPを修正するIMRT線量検証手法の精度検証とその有用性の検討

小笠原誠, 角谷倫之, 藤田幸男, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

日本医学物理学会第105回学術大会　2013/04/11
Development of a deformable lung phantom for quantitatively verifying deformation algorithms

Yusuke Onozato, Noriyuki Kadoya, Yukio Fujita, Sang Yong Cho, Kazuma Kishi, Kiyokazu Satou, Suguru Dobashi, Ken Takeda, Yu Kumazaki, Keiichi Jingu

日本医学物理学会第105回学術大会　2013/04/11
Deformable image registrationを用いた頭頸部IMRTにおけるリスク臓器の積算線量評価法の検討

新井一弘, 角谷倫之, 藤田幸男, 小野里侑祐, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

日本医学物理学会第105回学術大会　2013/04/11
Study of radiation treatment planning considering the lung function using 4D-CT ventilation imaging

Sang Yong Cho, Noriyuki Kadoya, Yukio Fujita, Ken Takeda, Suguru Dobashi, Kazuma Kishi, Kiyokazu Sato, Haruo Matsusita, Keiichi Jingu

日本医学物理学会第105回学術大会　2013/04/11
胸部におけるdeformable image registration ソフトウェアの誤差分布の検証

勝田義之, 角谷倫之, 藤田幸男, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第25回学術大会　2012/11/23
deformable image registrationと放射線治療用4D-CT画像を用いた肺機能画像の技術開発

曹翔永, 角谷倫之, 藤田幸男, 武田賢, 土橋卓, 岸和馬, 佐藤清和, 山本時裕, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第25回学術大会　2012/11/23
histogram-matching法を用いた修正CBCT画像の線量計算精度の検証

新井一弘, 角谷倫之, 藤田幸男, 小野里侑祐, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

日本放射線腫瘍学会第25回学術大会　2012/11/23
腫瘍サイズと呼吸性移動の影響を考慮したSUV補正法の検討

小笠原誠, 角谷倫之, 藤田幸男, 土橋卓, 武田賢, 志田原美保, 南部武幸, 岸和馬, 金田朋洋, 神宮啓一

日本放射線腫瘍学会第25回学術大会　2012/11/23
Deformable image registrationを用いた頭頸部IMRTの積算線量の評価

新井一弘, 角谷倫之, 藤田幸男, 小野里侑祐, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

第127回日本医学放射線学会北日本地方会　2012/11/16
食道が悪性黒色腫の1例

木下知, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 阿部恵子, 角谷倫之, 藤田幸男, 山本貴也, 田邊隆哉, 白田佑子, 武田賢, 土橋卓, 神宮啓一

第127回日本医学放射線学会北日本地方会　2012/11/16
食道癌術後再発に対する放射線化学療法長期成績

神宮啓一, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 阿部恵子, 角谷倫之, 藤田幸男, 田邊隆哉, 白田佑子, 山本貴也, 武田賢, 土橋卓, 根本健二

第127回日本医学放射線学会北日本地方会　2012/11/16
頭頸部癌術後予防的放射線治療ー東北大および宮城県立がんセンター症例の検討

松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 阿部恵子, 角谷倫之, 藤田幸男, 田邊隆哉, 白田佑子, 山本貴也, 武田賢, 土橋卓, 神宮啓一

第127回日本医学放射線学会北日本地方会　2012/11/16
放射線治療用4D-CT画像から作成する肺機能イメージングの技術開発

曹翔永, 角谷倫之, 藤田幸男, 武田賢, 土橋卓, 岸和馬, 松下晴雄, 神宮啓一

第2回東北放射線医療技術学術大会　2012/11/03
胸部領域4D-CT画像でのdeformable image registrationソフトウェアの誤差分布の評価

勝田義之, 角谷倫之, 藤田幸男, 土橋卓, 武田賢, 神宮啓一, 松下晴雄

第2回東北放射線医療技術学術大会　2012/11/03
Deformable image registration検証用の肺ファントムの開発

小野里侑祐, 角谷倫之, 藤田幸男, 土橋卓, 武田賢, 岸和馬, 熊崎祐, 神宮啓一

第2回東北放射線医療技術学術大会　2012/11/03
呼吸性移動の影響を補正したSUV評価法に関する検討

小笠原誠, 角谷倫之, 藤田幸男, 土橋卓, 武田賢, 志田原美保, 南部武幸, 岸和馬, 金田朋洋, 神宮啓一

第2回東北放射線医療技術学術大会　2012/11/03
放射線治療用4D-CT画像とDeformable Image Registrationを用いた用いた呼吸時のCT値変化量に基づく肺機能イメージングの技術開発

曹翔永, 角谷倫之, 藤田幸男, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 山本時裕, 松下晴雄, 神宮啓一

第104回日本医学物理学会学術大会　2012/09/13
胸部4D-CT画像を用いた複数のdeformable image registration algorithmの精度評価

角谷倫之, 藤田幸男, 勝田義之, 小野里侑祐, 土橋卓, 武田賢, 岸和馬, 山本時裕, 松下晴雄, 神宮啓一

第104回日本医学物理学会学術大会　2012/09/13
胸部4DCT画像を用いた市販deformable image registrationソフトウェアの誤差分布の検証

勝田義之, 角谷倫之, 藤田幸男, 小野里侑祐, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 山本時裕, 松下晴雄, 神宮啓一

第104回日本医学物理学会学術大会　2012/09/13
Histogram-matching法による修正CBCT画像の線量計算精度の検証

新井一弘, 角谷倫之, 藤田幸男, 小野里侑祐, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 松下晴雄, 神宮啓一

第104回日本医学物理学会学術大会　2012/09/13
呼吸性移動によるSUVの減弱補正法の検討

小笠原誠, 角谷倫之, 藤田幸男, 伊藤謙吾, 南部武幸, 岸和馬, 志田原美保, 土橋卓, 武田賢, 金田朋洋, 神宮啓一

第104回日本医学物理学会学術大会　2012/09/13
Assessment of a commercially available automatic deformable image registration International-presentation

Yoshiyuki Katsuta, Noriyuki Kadoya, Yukio Fujita, Suguru Dobashi, Ken Takeda, Kazuma kishi, Kiyokazu satou, Haruo Matsushita, Keiichi Jingu

31st Sapporo International Cancer Symposium 2012　2012/07/23
Evaluation of dose calculation accuracy of modified CBCT International-presentation

Yusuke Onozato, Noriyuki Kadoya, Yukio Fujita, Yoshiyuki Katsuta, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Kiyokazu Satou, Keiko Abe, Rei Umezawa, Eiji Shimizu, Toshiyuki Sugawara, Keiichi Jingu, Haruo Matsushita

31st Sapporo International Cancer Symposium 2012　2012/07/23
呼吸性移動によるSUVmaxの減弱に対する補正法の検討

角谷倫之, 藤田幸男, 山本貴也, 白田佑子, 阿部恵子, 梅澤玲, 久保園正樹, 菅原俊幸, 土橋卓, 武田賢, 金田朋洋, 松下晴雄, 神宮啓一

第126回日本医学放射線学会北日本地方会　2012/06/29
前立腺癌体外照射における前立腺sizeと晩期有害事象の検討

山本貴也, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 阿部恵子, 角谷倫之, 藤田幸男, 白田佑子, 田邊隆哉, 土橋卓, 武田賢, 神宮啓一

第126回日本医学放射線学会北日本地方会　2012/06/29
子宮頸癌術後断端陽性例の放射線治療

梅澤玲, 松下晴雄, 菅原俊幸, 久保園正樹, 阿部恵子, 角谷倫之, 藤田幸男, 白田佑子, 田邊隆哉, 山本貴也, 土橋卓, 武田賢, 神宮啓一

第126回日本医学放射線学会北日本地方会　2012/06/29
Evaluation of dose calculation accuracy of modified CBCT International-presentation

Yusuke Onozato, Noriyuki Kadoya, Yukio Fujita, Yoshiyuki Katsuta, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Kiyokazu Satou, Keiko Abe, Rei Umezawa, Eiji Shimizu, Toshiyuki Sugawara, Keiichi Jingu, Haruo Matsushita

World Congress 2012 Medical Physics and Biomedical Engineering　2012/05/26
Assessment of a commercially available automatic deformable image registration International-presentation

Yoshiyuki Katsuta, Noriyuki Kadoya, Yukio Fujita, Yusuke Onozato, Kengo Ito, Tokihiro Yamamoto, Suguru Dobashi, Ken Takeda, Kazuma kishi, Kiyokazu satou, Youjiro Ishikawa, Takaya Yamamoto, Maiko Kozumi, Keiichi Jingu, Haruo Matsushita

World Congress 2012 Medical Physics and Biomedical Engineering　2012/05/26
Evaluation of on-board kV cone beam CT-based dose calculation International-presentation

Yusuke Onozato, Noriyuki Kadoya, Yukio Fujita, Yoshiyuki Katsuta, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Kiyokazu Satou, Keiichi Jingu, Haruo Matsushita

European Society for Radiotherapy and Oncology 31th annual meeting　2012/05/09
Evaluation of various deformable image registration algorithms using thoracic images International-presentation

Noriyuki Kadoya, Yukio Fujita, Yoshiyuki Katsuta, Yusuke Onozato, Suguru Dobashi, Ken Takeda, Kazuma Kishi, Takaya Yamamoto, Keiichi Jingu, Haruo Matsushita

European Society for Radiotherapy and Oncology 31th annual meeting　2012/05/09
Does IMRT increase loco-regional failure in patients with nasopharyngeal cancer? –a first report- International-presentation

Keiichi Jingu, Keiko Abe, M Koto, Fujimoto M, Matsushita H, Sugawara T, Umezawa R, Kadoya N, Takeda K, Yamada S

European Society for Radiotherapy and Oncology 31th annual meeting　2012/05/09
肺領域におけるdeformable image registrationの精度検証

勝田義之, 角谷倫之, 藤田幸男, 小野里侑祐, 山本時裕, 土橋卓, 武田賢, 岸和馬, 神宮啓一, 松下晴雄

日本医学物理学会第103回学術大会　2012/04/12
4D-CTとdeformable image registrationに基づく肺機能イメージングの技術開発

角谷倫之, 藤田幸男, 勝田義之, 小野里侑祐, 山本時裕, 土橋卓, 武田賢, 岸和馬, 菅原俊幸, 神宮啓一, 松下晴雄

日本医学物理学会第103回学術大会　2012/04/12
CBCT画像の線量計算精度向上に関する検討

小野里侑祐, 角谷倫之, 藤田幸男, 勝田義之, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 神宮啓一, 松下晴雄

日本医学物理学会第103回学術大会　2012/04/12
東北大学病院における医学物理部門の確立に向けて

角谷倫之, 藤田幸男, 土橋卓, 武田賢, 岸和馬, 神宮啓一, 久保園正樹, 松下晴雄, 有賀久哲, 山田章吾

日本放射線腫瘍学会第２４回学術大会　2011/11/17
Multi -level-threshold algorithmを用いた修正CBCT画像の線量計算精度の検証

小野里侑祐, 勝田義之, 角谷倫之, 藤田幸男, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 神宮啓一, 松下晴雄

日本放射線腫瘍学会第２４回学術大会　2011/11/17
前立腺癌74Gy照射による直腸障害の検討

石川陽二郎, 角谷倫之, 藤田幸男, 神宮啓一, 松下晴雄, 菅原俊幸, 久保園正樹

日本放射線腫瘍学会第24回学術大会　2011/11/17
モンテカルロ法を用いたkV Cone Beam CTのビーム特性に関する検討

藤田幸男, 角谷倫之, 土橋卓, 武田賢, 神宮啓一, 松下晴雄

日本放射線腫瘍学会第24回学術大会　2011/11/17
Multi-level-threshold algorithmを用いた修正CBCT画像の

小野里侑祐, 角谷倫之, 藤田幸男, 勝田義之, 土橋卓, 武田賢, 岸和馬, 佐藤清和, 神宮啓一, 松下晴雄

第一回東北放射線医療技術学術大会　2011/10/15
MATLABツール(DIRART)を用いたDeformable Image Registrationの基礎的検討

勝田義之, 小野里侑祐, 角谷倫之, 藤田幸男, 岸和馬, 佐藤清和, 土橋卓, 武田賢, 神宮啓一, 松下晴雄, 山田章吾

第一回東北放射線医療技術学術大会　2011/10/15
Feasubility Study of Absorbed Dose Estimation Using Radiophotoluminescence Glass Dosimeter for Proton Therapeutic Beam International-presentation

W CHANG, N Kadoya, S Hashimoto, Y Fujita, T Kato, H Saitoh

■2011 Joint AAPM/COMP Meeting　2011/07/31
前立腺癌74Gy照射による直腸障害の検討

石川陽二郎, 角谷倫之, 藤田幸男, 神宮啓一, 松下晴雄, 菅原俊幸, 久保園正樹, 梅澤玲, 清水栄二, 阿部恵子, 白田佑子, 山本貴也, 古積麻衣子, 山田章吾, 武田賢

第124回日本医学放射線学会北日本地方会　2011/06/17
Dose-volume comparison of proton radiotherapy and stereotactic body radiotherapy for non-small-cell lung cancer International-presentation

NORIYUKI KADOYA, TAKAHIRO KATO, MASAKI SUZUKI, MASARU KAGIYA, TATSUYA, NAKAMURA, TAKUYA TOMODA, NOBUKAZU FUWA, YASUNORI OBATA

Annual Meeting of American Society for Radiation Oncology　2010/10/31
陽子線治療における６軸治療寝台が飛程に及ぼす影響

鈴木清剛, 加藤貴弘, 角谷倫之, 鈴木正樹, 上田和代, 森山恵, 関根努, 齋藤二央

日本放射線技術学会秋季学術大会　2010/10/14
胸部食道癌ブースト照射における陽子線治療とＸ線治療の比較

鈴木正樹, 加藤貴弘, 鈴木清剛, 角谷倫之, 本柳智章, 岡田利光, 横田克次, 不破信和

日本放射線技術学会秋季学術大会　2010/10/14
陽子線治療におけるガラス線量計を用いたin-vivo dosimetryの基礎的検討

角谷倫之, 加藤貴弘, 鈴木正樹, 齋藤二央, 関根努, 横田克次, 岡田利光, 本柳智章, 鈴木清剛, 鍵谷勝, 柴田洋希

第100回医学物理学会秋季学術大会　2010/09/23
頸部食道癌ブースト照射における陽子線治療とＩＭＲＴの線量分布比較

加藤貴弘, 小山翔, 角谷倫之, 本柳智章, 鈴木正樹

日本放射線技術学会東北部会第47回学術大会　2010/09/13
Monte Carloシミュレーションの基礎と応用

角谷倫之

福島県放射線技師会　2010/03/14

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Industrial Property Rights 7

体表面固定具作成支援装置、体表面固定具作成支援方法、及び体表面固定具作成支援プログラム

松原浩幸, 相馬達也, 水野修, 武田賢, 土橋卓, 佐藤清和, 角谷倫之

特許第6620275号

Property Type: Patent
画像解析装置、画像解析システム、画像解析方法、コンピュータプログラム及び非一時的記録媒体

角谷倫之, 田中祥平, 梶川智博, 神宮啓一, 中根和昭

Property Type: Patent
動体可変型ファントム、放射線治療計画作成方法、プログラム

角谷倫之

Property Type: Patent
非剛体画像レジストレーション調整支援装置、非剛体画像レジストレーション調整支援方法及びプログラム

角谷倫之, 根本光, 阿部幸太, 田中祥平, 細谷祐里, 神宮啓一, 中村光宏

Property Type: Patent
線量分布判定システム、深層学習装置、線量分布判定方法及びコンピュータプログラム

角谷倫之, 梶川智博, 神宮啓一

Property Type: Patent
個別患者用3Dプリントファントム作成支援装置、個別患者用3Dプリントファントム作成支援プログラム、ファントム、及び個別患者用3Dプリントファントム作成・検証支援方法

松原浩幸, 水野修, 相馬達也, 武田賢, 角谷倫之, 土橋卓, 佐藤清和, 阿部幸太, 神宮啓一

Property Type: Patent
画像処理装置、画像処理方法、及び、画像処理プログラム

角谷倫之

Property Type: Patent

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Research Projects 20

Development of system of dose accumulation with deformable image registration for three-dimensional image-guided brachytherapy Competitive

System: Grant-in-Aid for Promotion of Private Scientific Research

2014/01 - Present
Establishment of patient DVH based QA for radiotherapy Competitive

System: The Other Research Programs

2013/10 - Present
Development of high accuray of deformable image registration algorithm Competitive

System: The Other Research Programs

2012/04 - Present
Medical ICT system development and practice to support standardization of radiotherapy techniques and inter-facility collaboration in the event of a disaster

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research

Category: Grant-in-Aid for Scientific Research (B)

Institution: Tokyo Metropolitan University

2024/04/01 - 2028/03/31
深層強化学習による真の“人工知能型”自動放射線照射計画法の開発

角谷倫之, 山本貴也, 梶川智博, 市地慶

Offer Organization: 日本学術振興会

System: 科学研究費助成事業

Category: 基盤研究(C)

Institution: 東北大学

2023/04/01 - 2026/03/31
頭頸部がん個別化医療に向けた臨床情報とラジオミクス特徴量誘導適応放射線治療の研究

武田賢, 角谷倫之

Offer Organization: 日本学術振興会

System: 科学研究費助成事業基盤研究(C)

Category: 基盤研究(C)

Institution: 東北大学

2021/04/01 - 2024/03/31

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頭頸部癌に対する外部放射線治療期間中に、腫瘍体積の減少やそれに伴う解剖学的変化が起こることが知られている。そのため、放射線治療前に計画した線量とは異なる線量が照射される可能性や、固定精度が低下する可能性がある。応募者らは解剖学的変化の一つとして照射期間中の頭頸部体積減少に着目した。東北大学病院では毎回の照射前に位置照合用のCone Beam Computed Tomography(CBCT)を撮影している。このCBCTを用いて、インハウスソフトウェアで頭頸部体積を算出した。全治療回数で体積を算出することで初回からの変化率を求め、頭頸部体積の縮小が大きい患者とそうでない患者を分類した。また、治療計画用CTから頭頚部癌の原発巣の肉眼的腫瘍体積(Gross tumor volume primary（GTVp）)と頸部転移リンパ節のGTV node(GTVn)のラジオミクスを商用のソフトウェアで抽出した。このラジオミクスとは、医用画像から大量の表現型を抽出し、疾患の予後や診断を解析する特徴量である。このように算出したラジオミクスと臨床情報（年齢、疾患部位、病理など）を組み合わせることで、照射期間中の頭頸部体積縮小が大きい患者の予測を試みた。 11月の日本放射線腫瘍学会第34回学術大会では、96症例を対象に臨床情報にラジオミクスを組み合わせることで、各々単独よりも照射期間中の頭頚部体積減少症例の予測精度を向上させることができ、GTVのラジオミクスと頭頸部体積の縮小に関連がある可能性を示唆した。また、3月の第53回高精度放射線治療外部照射部会学術大会では、172症例を対象に機械学習の計算アルゴリズムや特徴量選択の種類についての検討や、頭頸部体積の縮小に関連している特徴量の種類やその原因についての検討を報告した。
Maide-to-order radiation therapy using functional imaging for locally advanced non-small cell lung cancer

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B)

Category: Grant-in-Aid for Scientific Research (B)

Institution: Hiroshima University

2020/04/01 - 2024/03/31
国際医学物理ネットワークを軸とした放射線治療における先端技術の創出と普及

中村光宏, 丹羽恵, 椋本宜学, 溝脇尚志, 小野智博, 角谷倫之

Offer Organization: 日本学術振興会

System: 科学研究費助成事業国際共同研究加速基金(国際共同研究強化(B))

Category: 国際共同研究加速基金(国際共同研究強化(B))

Institution: 京都大学

2018/10/09 - 2023/03/31

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[A] 情報資源の相互利用基盤の構築：前年度に引き続き，放射線治療装置Vero用のリファレンスビームデータモデルを作成するために，Veroを所有しているバンクーバーがんセンターから放射線治療計画装置RayStationに登録されているVero用のビームデータモデルを取得した．現在，国内3施設(京都大学，京都桂病院，都立駒込病院)，海外3施設(Vancouver Cancer Center，Erlangen University，Universitair ziekenhuis Brussel)のデータを保有しており，リファレンスビームデータの作成に着手している． [B] コンピュータービジョンを用いた高精度放射線治療技術の開発：深層学習を用いた腫瘍位置予測モデル及びX線透視画像上の腫瘍位置抽出アルゴリズムを開発するプラットフォームを構築した．現在，学習に用いたデータ以外で精度検証を進めている． [C] 統一放射線治療品質保証法の開発：前年度に開発した非剛体位置合わせ(Deformable image registration: DIR)精度検証用ファントムを用いて，以下に示す国内外の放射線治療施設を対象に実験を行った．(海外施設：3施設 [Vancouver Cancer Center，Peter MacCallum Cancer Center，Clatter bridge Cancer Center]；国内施設：13施設 [京都大学，東北大学，都立駒込病院，国立がん研究センター中央病院，国立がん研究センター東病院，京都市立病院，京都桂病院，東京医科大学病院，東京ベイ先端医療・幕張クリニック，石切生喜病院，京都府立医科大学，大和高田市立病院，滋賀県立総合病院])．現在，解析を進めている．
Development of radiomics-based pulmonary ventilation imaging

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

Category: Grant-in-Aid for Scientific Research (C)

Institution: Tohoku University

2019/04/01 - 2022/03/31
Clinical application of order-made radiotherapy using functional imaging for lung cancer

Kimura Tomoki

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

Category: Grant-in-Aid for Scientific Research (C)

Institution: Hiroshima University

2017/04/01 - 2020/03/31

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Avoidance of the functional lung region which is identified by functional imaging using intensity-modulated radiation therapy (IMRT) could have potential to reduce the incidence of severe radiation pneumonitis (RP). We prospectively investigated clinical correlations between dosimetric parameters associated with RP and functional lung imaging, and concluded that RP dosimetric parameters correlated significantly with functional lung imaging. Using further high-precise functional imaging, the correlations were more significant. Therefore, we planed the prospectively study which investigated the safety and efficacy of functional image-guided IMRT in patients with unresectable stage IIB-IIIC non-small cell lung cancer and show whether Grade 3 or higher radiation pneumonitis (Common Terminology Criteria for Adverse Events; CTCAE ver. 5.0) become less frequent. This protocol was approved by the Human Ethics Review Committee of Hiroshima University Hospital, and have started this study.
Deformable image registration搭載システムの安全な臨床利用に向けた実態調査と品質管理プログラムの標準化に関する研究 Competitive

角谷倫之

System: 日本放射線腫瘍学会(JASTRO)研究課題

2017/09 - 2019/08
Development of deformable image registration-based dose accumulation between external beam radiotherapy and brachytherapy in cervical cancer patients Competitive

Kadoya Noriyuki

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

Category: Grant-in-Aid for Young Scientists (B)

Institution: Tohoku University

2015/04/01 - 2019/03/31

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In this study, we aim to develop deformable image registration (DIR) -based dose accumulation between external beam radiotherapy and brachytherapy in cervical cancer patients. First, deformable female pelvis phantom was created by the 3D printer. Then, DIR accuracies of two different DIR methods (intensity-based DIR and hybrid DIR) were evaluated using the deformable phantom. Finally, we clarified the accuracy of DIR-based dose accumulation using the two DIR methods, showing that hybrid DIR had the great potential for constructing the accurate DIR-based dose accumulation system.
頭蓋内SRSに対するHyperArcの有効性の解明 Competitive

角谷倫之

System: Varian medical systems 受託研究

2017/10 - 2019/03
Construction of platform for the active breathing control system in stereotactic body radiotherapy with Head Mounted Display.

Ishikawa yojiro, JINGU Keiichi, KADOYA Noriyuki

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

Category: Grant-in-Aid for Young Scientists (B)

Institution: Tohoku University

2015/04/01 - 2018/03/31

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In Japan,elderly patients with lung cancer are increasing.It is important that the treatment for such elderly patients is low invasiveness.The treatment for lung cancer in radiotherapy is affected by the breathing movement of the patient.If the patients can see the image of their own cancer using a Head Mounted Display and control the position of it, they can be treated the narrow range of radiation therapy. Therefore we constructed the platform for the active breathing control system in stereotactic body radiotherapy with Head Mounted Display. In addition, we made training system for lung cancer patients to control the position of their cancer using a Head Mounted Display.
高線量率小線源治療におけるガラス線量計を用いた高精度な線量評価手法の確立 ― 郵送調査・in-vivo線量測定に向けて Competitive

角谷倫之

System: マイクロセレクトロン研究会助成金

2017/04 - 2018/03
Feasibility basic study of three-dimensional printed device for head and neck immobilization in radiotherapy

Takeda Ken, Sato Kiyokazu, dobashi Suguru, Ito Kengo, Chiba Mizuki

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

Category: Grant-in-Aid for Scientific Research (C)

Institution: Tohoku University

2014/04/01 - 2017/03/31

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We investigated the feasibility of a three-dimensional (3D) -printed head-and-neck (HN) immobilization device. We prepared a 3D-printed immobilization device (3DID) consisting of a mask and headrest with acrylonitrile-butadiene-styrene resin developed from the computed tomography data obtained by imaging a HN phantom. For comparison, a conventional immobilization device (CID) comprising a thermoplastic mask and headrest was prepared using the same HN phantom. We measured the setup error. Furthermore, we measured the changes in the dose due to the difference in the immobilization device material from the photon of 4 and 6 MV. The positional accuracy of the two devices was almost similar. When the thickness was the same, the dose difference was almost similar at a 50 mm depth. At a 1 mm depth, the 3DID-plate had a 2.9-4.2% lower dose than the CID-plate. This study suggested that the positional accuracy and dosimetric properties of 3DID were almost similar to those of CID.
Prospective study of radiation-induced myocardial damage after mediastinal radiotherapy using late gadolinium enhancement by cardiac MRI

Umezawa Rei, KADOYA Noriyuki, OTA Hideki, JINGU Keiichi

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

Category: Grant-in-Aid for Young Scientists (B)

Institution: Tohoku University

2014/04/01 - 2017/03/31

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We evaluated radiation-induced myocardial damage after mediastinal radiotherapy using late gadolinium enhancement (LGE) by cardiac MRI. Nineteen patients with esophageal cancer were analyzed in this study. They underwent delayed contrast-enhanced MRI (pre- [n=19], 6-month post- [n=19] and 1.5-year post-treatment [n=12]). Changes of the signal intensities after mediastinal radiotherapy were compared among regions where irradiation doses were 0-10 Gy, 10-20 Gy, 20-30 Gy, 30-40 Gy, 40-50 Gy and 50-60 Gy. Dose-dependent signal increase on LGE was detected in 68% (13/19) of patients at 6-month post-treatment and in 75% (9/12) at 1.5-year post-treatment. Dose-dependent signal was progressively increasing in regions receiving more than 30 Gy. The averages of relative signal increase at 6-month and 1.5-year post-treatment were 1.1%, 35.7% and -1.9%, 17.5% at 20-30 Gy and 40-50 Gy, respectively. Dose-effect relations for radiation-induced myocardial damage was observed.
四次元CT画像から生成する肺機能画像を用いた新たな肺がんの放射線治療法の開発 Competitive

角谷倫之

System: 東北大学病院若手研究者による臨床応用研究推進プログラム

2015/04 - 2017/03
外照射併用高線量率画像誘導小線源治療(IGBT)における高精度な積算線量評価システムの構築 Competitive

角谷倫之

System: マイクロセレクトロン研究会助成金

2014/04 - 2015/03
Development of four dimensional computed tomography based lung ventilation image Competitive

KADOYA Noriyuki

Offer Organization: Japan Society for the Promotion of Science

System: Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

Category: Grant-in-Aid for Young Scientists (B)

Institution: Tohoku University

2012/04/01 - 2014/03/31

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Four dimensional computed tomography (4D-CT) based lung ventilation imaging was developed to enable us to create lung ventilation based treatment planning easily. Next, we validated the 4D-CT derived ventilation using Tc-MAA single positron emission CT imaging, indicating the high psychological accuracy of 4D-CT ventilation. Furthermore, our results demonstrated that a functional plan of SBRT reduced the dose in the high-functional regions without a change in the total lung or PTV, indicating that this technique can be safely used for SBRT.

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Social Activities 1

[日本国内] 宮城県庁における放射線被曝に関する電話相談

2011/08/01 - 2011/09/30

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2011年3月11日の震災に伴う福島原発関係の被曝相談を放射線の専門家として相談に乗る。

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外照射併用高線量率画像誘導小線源治療(IGBT)における高精度な積算線

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CT画像を用いたIGBTと外照射との併用症例における子宮および直腸の積算線量は正確に評価されていない。そこで非剛体位置合わせ(DIR)を用いた高精度な積算線量評価システムを構築する。
4D-CTを用いた肺機能画像の作成と放射線治療への利用

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本研究では、肺の四次元断層撮影画像(4D-CT画像）を使用して肺機能画像を作成し、その画像を利用した肺がんの放射線治療が臨床的に有効であるかを解明することである。
Development of deformable image registration software

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放射線治療に利用できる高精度なdeformable image registrationソフトウェアを開発する。
Development of deformable lung phantom
4D-CTを用いた肺の機能イメージングの研究

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4D-CTを用いた肺の機能イメージングの研究