Updated on 2024/07/16

写真a

 
NAKANO Hisashi
 
Organization
University Medical and Dental Hospital Radiation Oncology Specially Appointed Assistant Professor
Title
Specially Appointed Assistant Professor
External link

The Best Research Achievement in Research Career

    • 【Papers】 Effect of dose-delivery time for flattened and flattening filter-free photon beams based on microdosimetric kinetic model.  2018

Degree

  • 博士 (保健学) ( 2024.3   大阪大学 )

Research Interests

  • 放射線生物学

  • 放射線物理学

  • 放射線治療

  • 医学物理学

Research Areas

  • Energy Engineering / Quantum beam science

  • Life Science / Radiological sciences

Research History (researchmap)

  • 北海道大学大学院   保健科学研究院   客員研究員

    2024.4

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  • Yamaguchi University

    2022.11

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    Country:Japan

    Notes:革新的放射線治療技術の創出を目指した医学物理研究体

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  • Niigata University   Radiation Oncology, Medical and Dental Hospital   Specially Appointed Assistant Professor

    2020.4

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  • Niigata University   Faculty of Medicine

    2018.9 - 2020.3

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  • Niigata University   Radiation Oncology, Medical and Dental Hospital

    2018.4 - 2020.3

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  • 広島平和クリニック 高精度がん放射線治療センター   放射線治療科

    2015.4 - 2018.3

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Research History

  • Niigata University   University Medical and Dental Hospital Radiation Oncology   Specially Appointed Assistant Professor

    2020.4

Education

  • 大阪大学大学院   医学系研究科 博士後期課程

    2021.4 - 2024.3

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  • 大阪大学大学院   医学系研究科 博士前期課程

    2013.4 - 2015.3

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  • Hokkaido University   School of Medicine   Department of Health Sciences

    2009.4 - 2013.3

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Professional Memberships

Committee Memberships

  • 日本医学物理学会   代議員  

    2023.10   

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    Committee type:Academic society

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  •   Review Editor for Frontier in Oncology  

    2023.6   

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  • 第127回日本医学物理学会学術大会   実行委員  

    2023.4 - 2024.4   

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  • 第126回日本医学物理学会学術大会   プログラム委員  

    2022.9 - 2023.9   

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  • 医学物理士認定機構 教育委員会   委員  

    2020.4 - 2021.3   

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    Committee type:Academic society

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Papers

  • Improved Dose Compensation Model owing to Short Irradiation Interruption Time for Hypoxic Tumor using a Microdosimetric Kinetic Model Reviewed

    Daisuke Kawahara, Hisashi Nakano, Akito Koganezawa

    Reports of Practical Oncology and Radiotherapy   2024.6

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  • Assessing tumor volumetric reduction with consideration for setup errors based on mathematical tumor model and microdosimetric kinetic model in single-isocenter VMAT for brain metastases Reviewed

    Hisashi Nakano, Takehiro Shiinoki, Satoshi Tanabe, Satoru Utsunomiya, Motoki Kaidu, Teiji Nishio, Hiroyuki Ishikawa

    Physical and Engineering Sciences in Medicine   2024.6

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    Authorship:Lead author, Corresponding author  

    DOI: 10.1007/s13246-024-01451-8

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  • Prediction of patient‐specific quality assurance for volumetric modulated arc therapy using radiomics‐based machine learning with dose distribution Reviewed

    Natsuki Ishizaka, Tomotaka Kinoshita, Madoka Sakai, Shunpei Tanabe, Hisashi Nakano, Satoshi Tanabe, Sae Nakamura, Kazuki Mayumi, Shinya Akamatsu, Takayuki Nishikata, Takeshi Takizawa, Takumi Yamada, Hironori Sakai, Motoki Kaidu, Ryuta Sasamoto, Hiroyuki Ishikawa, Satoru Utsunomiya

    Journal of Applied Clinical Medical Physics   2024.1

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.1002/acm2.14215

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  • Deep learning‐based detection and classification of multi‐leaf collimator modeling errors in volumetric modulated radiation therapy Reviewed

    Sae Nakamura, Madoka Sakai, Natsuki Ishizaka, Kazuki Mayumi, Tomotaka Kinoshita, Shinya Akamatsu, Takayuki Nishikata, Shunpei Tanabe, Hisashi Nakano, Satoshi Tanabe, Takeshi Takizawa, Takumi Yamada, Hironori Sakai, Motoki Kaidu, Ryuta Sasamoto, Hiroyuki Ishikawa, Satoru Utsunomiya

    Journal of Applied Clinical Medical Physics   2023.8

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    Publishing type:Research paper (scientific journal)   Publisher:Wiley  

    Abstract

    Purpose

    The purpose of this study was to create and evaluate deep learning‐based models to detect and classify errors of multi‐leaf collimator (MLC) modeling parameters in volumetric modulated radiation therapy (VMAT), namely the transmission factor (TF) and the dosimetric leaf gap (DLG).

    Methods

    A total of 33 clinical VMAT plans for prostate and head‐and‐neck cancer were used, assuming a cylindrical and homogeneous phantom, and error plans were created by altering the original value of the TF and the DLG by ± 10, 20, and 30% in the treatment planning system (TPS). The Gaussian filters of and 1.0 were applied to the planar dose maps of the error‐free plan to mimic the measurement dose map, and thus dose difference maps between the error‐free and error plans were obtained. We evaluated 3 deep learning‐based models, created to perform the following detections/classifications: (1) error‐free versus TF error, (2) error‐free versus DLG error, and (3) TF versus DLG error. Models to classify the sign of the errors were also created and evaluated. A gamma analysis was performed for comparison.

    Results

    The detection and classification of TF and DLG error were feasible for ; however, a considerable reduction of accuracy was observed for depending on the magnitude of error and treatment site. The sign of errors was detectable by the specifically trained models for and 1.0. The gamma analysis could not detect errors.

    Conclusions

    We demonstrated that the deep learning‐based models could feasibly detect and classify TF and DLG errors in VMAT dose distributions, depending on the magnitude of the error, treatment site, and the degree of mimicked measurement doses.

    DOI: 10.1002/acm2.14136

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  • Verification of Qfix Encompass™ couch modeling using the Acuros XB algorithm and HypeArc™ using a high-spatial-resolution two-dimensional diode array. Reviewed International journal

    Takumi Yamada, Hisashi Nakano, Satoshi Tanabe, Tatsuya Sakai, Shunpei Tanabe, Tetsuya Oka, Hironori Sakai, Tomoya Oshikane, Toshimichi Nakano, Atsushi Ohta, Tsutomu Kanazawa, Motoki Kaidu, Hiroyuki Ishikawa

    Medical dosimetry : official journal of the American Association of Medical Dosimetrists   2023.7

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    We modeled the Qfix Encompass™ immobilization system and further verified the calculated dose distribution of the AcurosXB (AXB) dose calculation algorithm using SRS MapCHECKⓇ (SRSMC) in the HyperArc™ (HA) clinical plan. An Encompass system with a StereoPHAN™ QA phantom was scanned by SOMATOM go.Sim and imported to an Eclipse™ treatment planning system to create a treatment plan for Encompass modeling. The Encompass modeling was performed in the StereoPHAN with a pinpoint ion chamber for 6 MV and 6 MV flattening filter free (6 MV FFF), and 2 × 2 cm2, 4 × 4 cm2, and 6 × 6 cm2 irradiation field sizes. The dose calculation algorithm used was AXB ver. 15.5 with a 1.0 mm calculation grid size. The Hounsfield unit (HU) values of the Encompass modeling were set to 400, -100, -200, and -300 for Encompass, and -400, -600, -700, and -800 for the Encompass base. We evaluated the dose distribution after Encompass modeling by SRSMC using gamma analysis in 12 patients. We adopted HU values of -200 for Encompass, -800 for Encompass base for 6 MV, and -200 for Encompass and -700 for Encompass. Base for 6 MV FFF was adopted as the HU values for the Encompass modeling based on the measurement results. The proposed Encompass modeling resulted in a mean pass rate evaluation >98% for both 6 MV and 6 MV FFF when the 1%/1 mm criterion was used, demonstrating that the proposed HU value can be adopted to calculate more accurate dose distributions.

    DOI: 10.1016/j.meddos.2023.06.002

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  • Mathematical model combined with microdosimetric kinetic model for tumor volume calculation in stereotactic body radiation therapy Reviewed

    Hisashi Nakano, Takehiro Shiinoki, Satoshi Tanabe, Satoru Utsunomiya, Takeshi Takizawa, Motoki Kaidu, Teiji Nishio, Hiroyuki Ishikawa

    Scientific Reports   13 ( 1 )   2023.7

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    Abstract

    We proposed a new mathematical model that combines an ordinary differential equation (ODE) and microdosimetric kinetic model (MKM) to predict the tumor-cell lethal effect of Stereotactic body radiation therapy (SBRT) applied to non-small cell lung cancer (NSCLC). The tumor growth volume was calculated by the ODE in the multi-component mathematical model (MCM) for the cell lines NSCLC A549 and NCI-H460 (H460). The prescription doses 48 Gy/4 fr and 54 Gy/3 fr were used in the SBRT, and the effect of the SBRT on tumor cells was evaluated by the MKM. We also evaluated the effects of (1) linear quadratic model (LQM) and the MKM, (2) varying the ratio of active and quiescent tumors for the total tumor volume, and (3) the length of the dose-delivery time per fractionated dose (t<sub>inter</sub>) on the initial tumor volume. We used the ratio of the tumor volume at 1 day after the end of irradiation to the tumor volume before irradiation to define the radiation effectiveness value (REV). The combination of MKM and MCM significantly reduced REV at 48 Gy/4 fr compared to the combination of LQM and MCM. The ratio of active tumors and the prolonging of t<sub>inter</sub> affected the decrease in the REV for A549 and H460 cells. We evaluated the tumor volume considering a large fractionated dose and the dose-delivery time by combining the MKM with a mathematical model of tumor growth using an ODE in lung SBRT for NSCLC A549 and H460 cells.

    DOI: 10.1038/s41598-023-38232-4

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    Other Link: https://www.nature.com/articles/s41598-023-38232-4

  • Multicomponent mathematical model for tumor volume calculation with setup error using single-isocenter stereotactic radiotherapy for multiple brain metastases Reviewed

    Hisashi Nakano, Takehiro Shiinoki, Satoshi Tanabe, Toshimichi Nakano, Takeshi Takizawa, Satoru Utsunomiya, Madoka Sakai, Shunpei Tanabe, Atsushi Ohta, Motoki Kaidu, Teiji Nishio, Hiroyuki Ishikawa

    Physical and Engineering Sciences in Medicine   2023.3

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    DOI: 10.1007/s13246-023-01241-8

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    Other Link: https://link.springer.com/article/10.1007/s13246-023-01241-8/fulltext.html

  • The Relationship between the Contouring Time of the Metal Artifacts Area and Metal Artifacts in Head and Neck Radiotherapy Reviewed

    Kouji Katsura, Satoshi Tanabe, Hisashi Nakano, Madoka Sakai, Atsushi Ohta, Motoki Kaidu, Marie Soga, Taichi Kobayashi, Masaki Takamura, Takafumi Hayashi

    Tomography   9 ( 1 )   98 - 104   2023.1

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    Publishing type:Research paper (scientific journal)   Publisher:MDPI AG  

    (1) Background: The impacts of metal artifacts (MAs) on the contouring workload for head and neck radiotherapy have not yet been clarified. Therefore, this study evaluated the relationship between the contouring time of the MAs area and MAs on head and neck radiotherapy treatment planning. (2) Methods: We used treatment planning computed tomography (CT) images for head and neck radiotherapy. MAs were classified into three severities by the percentage of CT images containing MAs: mild (&lt;25%), moderate (25–75%), and severe (&gt;75%). We randomly selected nine patients to evaluate the relationship between MAs and the contouring time of the MAs area. (3) Results: The contouring time of MAs showed moderate positive correlations with the MAs volume and the number of CT images containing MAs. Interobserver reliability of the extracted MAs volume and contouring time were excellent and poor, respectively. (4) Conclusions: Our study suggests that the contouring time of MAs areas is related to individual commitment rather than clinical experience. Therefore, the development of software combining metal artifact reduction methods with automatic contouring methods is necessary to reducing interobserver variability and contouring workload.

    DOI: 10.3390/tomography9010009

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  • DNA strand breaks based on Monte Carlo simulation in and around the Lipiodol with flattening filter and flattening filter-free photon beams Reviewed

    Akito Saito, Daisuke Kawahara, Hisashi Nakano, Yasushi Nagata

    Reports of Practical Oncology and Radiotherapy   2022.6

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    Publishing type:Research paper (scientific journal)   Publisher:{VM} Media {SP}. zo.o {VM} Group {SK}  

    DOI: 10.5603/rpor.a2022.0067

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  • The impact of target positioning error and tumor size on radiobiological parameters in robotic stereotactic radiosurgery for metastatic brain tumors. Reviewed

    Takeshi Takizawa, Satoshi Tanabe, Hisashi Nakano, Satoru Utsunomiya, Madoka Sakai, Katsuya Maruyama, Shigekazu Takeuchi, Toshimichi Nakano, Atsushi Ohta, Motoki Kaidu, Hiroyuki Ishikawa, Kiyoshi Onda

    Radiological physics and technology   2022.3

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    This study aimed to evaluate the effect of target positioning error (TPE) on radiobiological parameters, such as tumor control probability (TCP) and normal tissue complication probability (NTCP), in stereotactic radiosurgery (SRS) for metastatic brain tumors of different sizes using CyberKnife. The reference SRS plans were created using the circular cone of the CyberKnife for each spherical gross tumor volume (GTV) with diameters (φ) of 5, 7.5, 10, 15, and 20 mm, contoured on computed tomography images of the head phantom. Subsequently, plans involving TPE were created by shifting the beam center by 0.1-2.0 mm in three dimensions relative to the reference plans using the same beam arrangements. Conformity index (CI), generalized equivalent uniform dose (gEUD)-based TCP, and NTCP of estimated brain necrosis were evaluated for each plan. When the gEUD parameter "a" was set to - 10, the CI and TCP for the reference plan at the φ5-mm GTV were 0.90 and 80.8%, respectively. The corresponding values for plans involving TPE of 0.5-mm, 1.0-mm, and 2.0-mm were 0.62 and 77.4%, 0.40 and 62.9%, and 0.12 and 7.2%, respectively. In contrast, the NTCP for all GTVs were the same. The TCP for the plans involving a TPE of 2-mm was 7.2% and 68.8% at the φ5-mm and φ20-mm GTV, respectively. The TPEs corresponding to a TCP reduction rate of 3% at the φ5-mm and φ20-mm GTV were 0.41 and 0.99 mm, respectively. TPE had a significant effect on TCP in SRS for metastatic brain tumors using CyberKnife, particularly for small GTVs.

    DOI: 10.1007/s12194-022-00655-5

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  • Radiobiological evaluation considering the treatment time with stereotactic radiosurgery for brain metastases Reviewed

    Hisashi Nakano, Takeshi Takizawa, Daisuke Kawahara, Satoshi Tanabe, Satoru Utsunomiya, Motoki Kaidu, Katsuya Maruyama, Shigekazu Takeuchi, Kiyoshi Onda, Masahiko Koizumi, Teiji Nishio, Hiroyuki Ishikawa

    BJR|Open   2022.1

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:British Institute of Radiology  

    Objective:

    We evaluated the radiobiological effect of the irradiation time with the interruption time of stereotactic radiosurgery (SRS) using CyberKnife<sup>®</sup> (CK) systemfor brain metastases.

    Methods:

    We used the DICOM data and irradiation log file of the 10 patients with brain metastases from non–small-cell lung cancer (NSCLC) who underwent brain SRS. We defined the treatment time as the sum of the dose–delivery time and the interruption time during irradiations, and we used a microdosimetric kinetic model (MKM) to evaluate the radiobiological effects of the treatment time. The biological parameters, i.e. α<sub>0</sub>, β<sub>0</sub>, and the DNA repair constant rate (a + c), were acquired from NCI-H460 cell for the MKM. We calculated the radiobiological dose for the gross tumor volume (GTV<sub>bio</sub>) to evaluate the treatment time’s effect compared with no treatment time as a reference. The D95 (%) and the Radiation Therapy Oncology Group conformity index (RCI) and Paddick conformity index (PCI) were calculated as dosimetric indices. We used several DNA repair constant rates (a + c) (0.46, 1.0, and 2.0) to assess the radiobiological effect by varying the DNA repair date (a + c) values.

    Results:

    The mean values of D95 (%), RCI, and PCI for GTV<sub>bio</sub> were 98.8%, 0.90, and 0.80, respectively, and decreased with increasing treatment time. The mean values of D95 (%), RCI, and PCI of GTV<sub>bio</sub> at 2.0 (a+c) value were 94.9%, 0.71, and 0.49, respectively.

    Conclusion:

    The radiobiological effect of the treatment time on tumors was accurately evaluated with brain SRS using CK.

    Advances in knowledge:

    There has been no published investigation of the radiobiological impact of the longer treatment time with multiple interruptions of SRS using a CK on the target dose distribution in a comparison with the use of a linac. Radiobiological dose assessment that takes into account treatment time in the physical dose in this study may allow more accurate dose assessment in SRS for metastatic brain tumors using CK.

    DOI: 10.1259/bjro.20220013

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  • Introduction of Medical Physics Group at Niigata University

    UTSUNOMIYA Satoru, TANABE Satoshi, NAKANO Hisashi, SAKAI Madoka, TANABE Shunpei, TAKIZAWA Takeshi, KUSHIMA Naotaka, NARITA Akihiro, HAYAKAWA Takahide, SASAMOTO Ryuta

    Japanese Journal of Medical Physics (Igakubutsuri)   41 ( 4 )   195 - 200   2021.12

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    Language:Japanese   Publisher:Japan Society of Medical Physics  

    DOI: 10.11323/jjmp.41.4_195

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  • Radiobiological evaluation considering setup error on single‐isocenter irradiation in stereotactic radiosurgery Reviewed

    Hisashi Nakano, Satoshi Tanabe, Ryuta Sasamoto, Takeshi Takizawa, Satoru Utsunomiya, Madoka Sakai, Toshimichi Nakano, Atsushi Ohta, Motoki Kaidu, Hiroyuki Ishikawa

    Journal of Applied Clinical Medical Physics   22 ( 7 )   266 - 275   2021.6

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Wiley  

    DOI: 10.1002/acm2.13322

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    Other Link: https://onlinelibrary.wiley.com/doi/full-xml/10.1002/acm2.13322

  • Maximum distance in single-isocenter technique of stereotactic radiosurgery with rotational error using margin-based analysis Reviewed

    Hisashi Nakano, Satoshi Tanabe, Takumi Yamada, Satoru Utsunomiya, Takeshi Takizawa, Madoka Sakai, Ryuta Sasamoto, Hironori Sakai, Toshimichi Nakano, Hirotake Saito, Atsushi Ohta, Motoki Kaidu, Hiroyuki Ishikawa

    Radiological Physics and Technology   14 ( 1 )   57 - 63   2021.3

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media {LLC}  

    DOI: 10.1007/s12194-020-00602-2

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    Other Link: http://link.springer.com/article/10.1007/s12194-020-00602-2/fulltext.html

  • Calculated relative biological effectiveness (RBE) for initial DNA double-strand breaks (DSB) from flattening filter and flattening filter-free 6 MV X-ray fields Reviewed

    Hisashi Nakano, Daisuke Kawahara, Satoshi Tanabe, Satoru Utsunomiya, Takeshi Takizawa, Madoka Sakai, Toshimichi Nakano, Atsushi Ohta, Motoki Kaidu, Hiroyuki Ishikawa

    BJR|Open   3 ( 1 )   20200072 - 20200072   2021.3

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:British Institute of Radiology  

    Objectives:

    We evaluated the radiobiological effectiveness based on the yields of DNA double-strand breaks (DSBs) of field induction with flattening filter (FF) and FF-free (FFF) photon beams.

    Methods:

    We used the particle and heavy ion transport system (PHITS) and a water equivalent phantom (30 × 30 × 30 cm<sup>3</sup>) to calculate the physical qualities of the dose-mean lineal energy (y<sub>D</sub>) with 6 MV FF and FFF. The relative biological effectiveness based on the yields of DNA-DSBs (RBE<sub>DSB</sub>) was calculated for standard radiation such as 220 kVp X-rays by using the estimating yields of SSBs and DSBs. The measurement points used to calculate the in-field y<sub>D</sub> and RBE<sub>DSB</sub> were located at a depth of 3, 5, and 10 cm in the water equivalent phantom on the central axis. Measurement points at 6, 8, and 10 cm in the lateral direction of each of the three depths from the central axis were set to calculate the out-of-field y<sub>D</sub> and RBE<sub>DSB</sub>.

    Results:

    The RBE<sub>DSB</sub> of FFF in-field was 1.7% higher than FF at each measurement depth. The RBE<sub>DSB</sub> of FFF out-of-field was 1.9 to 6.4% higher than FF at each depth measurement point. As the distance to out-of-field increased, the RBE<sub>DSB</sub> of FFF rose higher than those of FF. FFF has a larger RBE<sub>DSB</sub> than FF based on the yields of DNA-DSBs as the distance to out-of-field increased.

    Conclusions:

    The out-of-field radiobiological effect of FFF could thus be greater than that of FF since the spreading of the radiation dose out-of-field with FFF could be a concern compared to the FF.

    Advances in knowledge:

    The RBE<sub>DSB</sub> of FFF of out-of-field might be larger than FF.

    DOI: 10.1259/bjro.20200072

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  • Detecting MLC modeling errors using radiomics-based machine learning in patient-specific QA with an EPID for intensity-modulated radiation therapy. Reviewed

    Hisashi Nakano

    Medical physics   48 ( 3 )   991 - 1002   2020.12

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    Publishing type:Research paper (scientific journal)   Publisher:Wiley  

    <h4>Purpose</h4>We sought to develop machine learning models to detect multileaf collimator (MLC) modeling errors with the use of radiomic features of fluence maps measured in patient-specific quality assurance (QA) for intensity-modulated radiation therapy (IMRT) with an electric portal imaging device (EPID).<h4>Methods</h4>Fluence maps measured with EPID for 38 beams from 19 clinical IMRT plans were assessed. Plans with various degrees of error in MLC modeling parameters [i.e., MLC transmission factor (TF) and dosimetric leaf gap (DLG)] and plans with an MLC positional error for comparison were created. For a total of 152 error plans for each type of error, we calculated fluence difference maps for each beam by subtracting the calculated maps from the measured maps. A total of 837 radiomic features were extracted from each fluence difference map, and we determined the number of features used for the training dataset in the machine learning models by using random forest regression. Machine learning models using the five typical algorithms [decision tree, k-nearest neighbor (kNN), support vector machine (SVM), logistic regression, and random forest] for binary classification between the error-free plan and the plan with the corresponding error for each type of error were developed. We used part of the total dataset to perform fourfold cross-validation to tune the models, and we used the remaining test dataset to evaluate the performance of the developed models. A gamma analysis was also performed between the measured and calculated fluence maps with the criteria of 3%/2 and 2%/2 mm for all of the types of error.<h4>Results</h4>The radiomic features and its optimal number were similar for the models for the TF and the DLG error detection, which was different from the MLC positional error. The highest sensitivity was obtained as 0.913 for the TF error with SVM and logistic regression, 0.978 for the DLG error with kNN and SVM, and 1.000 for the MLC positional error with kNN, SVM, and random forest. The highest specificity was obtained as 1.000 for the TF error with a decision tree, SVM, and logistic regression, 1.000 for the DLG error with a decision tree, logistic regression, and random forest, and 0.909 for the MLC positional error with a decision tree and logistic regression. The gamma analysis showed the poorest performance in which sensitivities were 0.737 for the TF error and the DLG error and 0.882 for the MLC positional error for 3%/2 mm. The addition of another type of error to fluence maps significantly reduced the sensitivity for the TF and the DLG error, whereas no effect was observed for the MLC positional error detection.<h4>Conclusions</h4>Compared to the conventional gamma analysis, the radiomics-based machine learning models showed higher sensitivity and specificity in detecting a single type of the MLC modeling error and the MLC positional error. Although the developed models need further improvement for detecting multiple types of error, radiomics-based IMRT QA was shown to be a promising approach for detecting the MLC modeling error.

    DOI: 10.1002/mp.14699

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    Other Link: https://onlinelibrary.wiley.com/doi/full-xml/10.1002/mp.14699

  • Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy. Reviewed

    Hisashi Nakano

    Journal of applied clinical medical physics   22 ( 1 )   165 - 173   2020.12

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    Publishing type:Research paper (scientific journal)   Publisher:Wiley  

    <h4>Objectives</h4>To evaluate the effect of interruption in radiotherapy due to machine failure in patients and medical institutions using machine failure risk analysis (MFRA).<h4>Material and methods</h4>The risk of machine failure during treatment is assigned to three scores (biological effect, B; occurrence, O; and cost of labor and repair parts, C) for each type of machine failure. The biological patient risk (BPR) and the economic institution risk (EIR) are calculated as the product of B and O ( B×O ) and C and O ( C×O ), respectively. The MFRA is performed in two linear accelerators (linacs).<h4>Result</h4>The multileaf collimator (MLC) fault has the highest BPR and second highest EIR. In particular, TrueBeam has a higher BPR and EIR for MLC failures. The total EIR in TrueBeam was significantly higher than that in Clinac iX. The minor interlock had the second highest BPR, whereas a smaller EIR. Meanwhile, the EIR for the LaserGuard fault was the highest, and that for the monitor chamber fault was the second highest. These machine failures occurred in TrueBeam. The BPR and EIR should be evaluated for each linac. Further, the sensitivity of the BPR, it decreased with higher T1/2 and α/β values. No relative difference is observed in the BPR for each machine failure when T1/2 and α/β were varied.<h4>Conclusion</h4>The risk faced by patients and institutions in machine failure may be reduced using MFRA.<h4>Advances in knowledge</h4>For clinical radiotherapy, interruption can occur from unscheduled downtime with machine failures. Interruption causes sublethal damage repair. The current study evaluated the effect of interruption in radiotherapy owing to machine failure on patients and medical institutions using a new method, that is, machine failure risk analysis.

    DOI: 10.1002/acm2.13126

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    Other Link: https://onlinelibrary.wiley.com/doi/full-xml/10.1002/acm2.13126

  • Radiobiological effects of the interruption time with Monte Carlo Simulation on multiple fields in photon beams Reviewed

    Hisashi Nakano, Daisuke Kawahara, Satoshi Tanabe, Satoru Utsunomiya, Takeshi Takizawa, Madoka Sakai, Hirotake Saito, Atsushi Ohta, Motoki Kaidu, Hiroyuki Ishikawa

    Journal of Applied Clinical Medical Physics   21 ( 12 )   288 - 294   2020.12

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Wiley  

    DOI: 10.1002/acm2.13110

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    Other Link: https://onlinelibrary.wiley.com/doi/full-xml/10.1002/acm2.13110

  • Effect of setup error in the single-isocenter technique on stereotactic radiosurgery for multiple brain metastases. Reviewed

    Hisashi Nakano

    Journal of applied clinical medical physics   21 ( 12 )   155 - 165   2020.10

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    Authorship:Lead author, Corresponding author   Publishing type:Research paper (scientific journal)   Publisher:Wiley  

    In conventional stereotactic radiosurgery (SRS), treatment of multiple brain metastases using multiple isocenters is time-consuming resulting in long dose delivery times for patients. A single-isocenter technique has been developed which enables the simultaneous irradiation of multiple targets at one isocenter. This technique requires accurate positioning of the patient to ensure optimal dose coverage. We evaluated the effect of six degrees of freedom (6DoF) setup errors in patient setups on SRS dose distributions for multiple brain metastases using a single-isocenter technique. We used simulated spherical gross tumor volumes (GTVs) with diameters ranging from 1.0 to 3.0 cm. The distance from the isocenter to the target's center was varied from 0 to 15 cm. We created dose distributions so that each target was entirely covered by 100% of the prescribed dose. The target's position vectors were rotated from 0°-2.0° and translated from 0-1.0 mm with respect to the three axes in space. The reduction in dose coverage for the targets for each setup error was calculated and compared with zero setup error. The calculated margins for the GTV necessary to satisfy the tolerance values for loss of GTV coverage of 3% to 10% were defined as coverage-based margins. In addition, the maximum isocenter to target distance for different 6DoF setup errors was calculated to satisfy the tolerance values. The dose coverage reduction and coverage-based margins increased as the target diameter decreased, and the distance and 6DoF setup error increased. An increase in setup error when a single-isocenter technique is used may increase the risk of missing the tumor; this risk increases with increasing distance from the isocenter and decreasing tumor size.

    DOI: 10.1002/acm2.13081

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  • Efficacy and Safety of the Radiotherapy for Liver Cancer: Assessment of Local Controllability and its Role in Multidisciplinary Therapy. Reviewed International journal

    Marina Ohkoshi-Yamada, Kenya Kamimura, Osamu Shibata, Shinichi Morita, Motoki Kaidu, Toshimichi Nakano, Katsuya Maruyama, Atsushi Ota, Hirotake Saito, Nobuko Yamana, Tomoya Oshikane, Yukiyo Goto, Natsumi Yoshimura, Satoshi Tanabe, Hisashi Nakano, Madoka Sakai, Yuto Tanaka, Yohei Koseki, Yoshihisa Arao, Hiroyuki Abe, Toru Setsu, Akira Sakamaki, Takeshi Yokoo, Hiroteru Kamimura, Hidefumi Aoyama, Shuji Terai

    Cancers   12 ( 10 )   E2955   2020.10

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    This study investigated the efficacy and safety of radiotherapy as part of multidisciplinary therapy for advanced hepatocellular carcinoma (HCC). Clinical data of 49 HCC patients treated with radiotherapy were assessed retrospectively. The efficacy of radiotherapy was assessed by progression-free survival, disease control rate, and overall survival. Safety was assessed by symptoms and hematological assay, and changes in hepatic reserve function were determined by Child-Pugh score and albumin-bilirubin (ALBI) score. Forty patients underwent curative radiotherapy, and nine patients with portal vein tumor thrombus (PVTT) underwent palliative radiotherapy as part of multidisciplinary therapy. Local disease control for curative therapy was 80.0% and stereotactic body radiotherapy was 86.7% which was greater than that of conventional radiotherapy (60.0%). Patients with PVTT had a median observation period of 651 days and 75% three-year survival when treated with multitherapy, including radiotherapy for palliative intent, transcatheter arterial chemoembolization, and administration of molecular targeted agents. No adverse events higher than grade 3 and no changes in the Child-Pugh score and ALBI score were seen. Radiotherapy is safe and effective for HCC treatment and can be a part of multidisciplinary therapy.

    DOI: 10.3390/cancers12102955

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  • Dose compensation based on biological effectiveness due to interruption time for photon radiation therapy

    Daisuke Kawahara, Hisashi Nakano, Akito Saito, Shuichi Ozawa, Yasushi Nagata

    The British Journal of Radiology   93 ( 1111 )   2020.5

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    Objective:

    To evaluate the biological effectiveness of dose associated with interruption time; and propose the dose compensation method based on biological effectiveness when an interruption occurs during photon radiation therapy.

    Methods:

    The lineal energy distribution for human salivary gland tumor was calculated by Monte Carlo simulation using a photon beam. The biological dose (Dbio) was estimated using the microdosimetric kinetic model. The dose compensating factor with the physical dose for the difference of the Dbio with and without interruption (Δ) was derived. The interruption time (τ) was varied to 0.1, 0.2, 0.3, 0.4, 0.5, 1, 2, 3, 4, 5, 10, 20, 30, 40, 50, 75, and 120 min. The dose per fraction and dose rate varied from 2 to 8 Gy and 0.1 to 24 Gy/min, respectively.

    Results:

    The maximum Δ with 1 Gy/min occurred when the interruption occurred at half the dose. The Δ with 1 Gy/min at half of the dose was over 3% for τ &amp;gt;= 20 min for 2 Gy, τ = 10 min for 5 Gy, and τ = 10 min for 8 Gy. The maximum difference of the Δ due to the dose rate was within 3% for 2 and 5 Gy, and achieving values of 4.0% for 8 Gy. The dose compensating factor was larger with a high dose per fraction and high-dose rate beams.

    Conclusion:

    A loss of biological effectiveness occurs due to interruption. Our proposal method could correct for the unexpected decrease of the biological effectiveness caused by interruption time.

    Advances in knowledge:

    For photon radiotherapy, the interruption causes the sublethal damage repair. The current study proposed the dose compensation method for the decrease of the biological effect by the interruption.

    DOI: 10.1259/bjr.20200125

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  • Dosimetric comparison of analytic anisotropic algorithm and Acuros XB algorithm in VMAT plans for high-grade glioma. Reviewed International journal

    Takeshi Takizawa, Satoshi Tanabe, Satoru Utsunomiya, Hisashi Nakano, Takumi Yamada, Hironori Sakai, Atsushi Ohta, Hirotake Saito, Toshimichi Nakano, Eisuke Abe, Motoki Kaidu, Hidefumi Aoyama

    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 ( 73 )   73 - 82   2020.4

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    PURPOSE: To investigate the dosimetric impact between the anisotropic analytical algorithm (AAA) and the Acuros XB (AXB) algorithm in volumetric-modulated arc therapy (VMAT) plans for high-grade glioma (HGG). METHODS: We used a heterogeneous phantom to quantify the agreement between the measured and calculated doses from the AAA and from the AXB. We then analyzed 14 patients with HGG treated by VMAT, using the AAA. We newly created AXB plans for each corresponding AAA plan under the following conditions: (1) re-calculation for the same number of monitor units with an identical beam and leaf setup, and (2) re-optimization under the same conditions of dose constraints. The dose coverage for the planning target volume (PTV) was evaluated by dividing the coverage into the skull, air, and soft-tissue regions. RESULTS: Compared to the results obtained with the AAA, the AXB results were in good agreement with the measured profiles. The dose differences in the PTV between the AAA and re-calculated AXB plans were large in the skull region contained in the target. The dose difference in the PTV in both types of plan was significantly correlated with the volume of the skull contained in the target (r = 0.71, p = 0.0042). A re-optimized AXB plan's dose difference was lower vs. the re-calculated AXB plan's. CONCLUSIONS: We observed dose differences between the AAA and AXB plans, in particular in the cases in which the skull region of the target was large. Considering the phantom measurement results, the AXB algorithm should be used in VMAT plans for HGG.

    DOI: 10.1016/j.ejmp.2020.04.007

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  • マージンベース解析に基づいた多発脳転移に対する単一アイソセンタ照射法における回転誤差が生じた際の最大距離

    中野 永, 棚邊 哲史, 山田 巧, 宇都宮 悟, 滝澤 健司, 坂井 裕則, 青山 英史

    日本放射線技術学会総会学術大会予稿集   76回   242 - 242   2020.3

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  • 多発脳転移に対する単一アイソセンタ照射法における患者セットアップの並進誤差が線量不確かさに及ぼす影響

    中野 永, 棚邊 哲史, 宇都宮 悟, 中野 智成, 斎藤 紘丈, 滝澤 健司, 山田 巧, 坂井 裕則, 太田 篤, 阿部 英輔, 海津 元樹, 青山 英史

    定位的放射線治療   24   81 - 89   2020.1

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    複数の脳転移に対する単一アイソセンタVMAT(SIVMAT)の患者セットアップの並進誤差が線量の不確かさに及ぼす影響を評価した。治療計画装置上において、30×30×30cm3の仮想水等価ファントム上で、二つの模擬腫瘍肉眼腫瘍体積(GTV)を作成した。並進誤差が増加するにつれて、各GTVと計画標的体積(PTV)の線量カバレッジは低下し、GTVとPTVの直径が小さい場合、線量カバレッジはより低下した。各GTVおよびPTVの線量カバレッジは、GTVおよびPTVの体積が小さいほど、並進誤差が大きくなるにつれて低下した。GTVの直径が0.5cm、1.0cm、1.5cm、2.0cmの場合、至適PTVマージンはそれぞれ8.6mm、6.1mm、3.6mm、1.0mmであった。また、GTVの体積が1.0cm3、5.0cm3、10.0cm3、14.0cm3の場合、至適PTVマージンはそれぞれ7.0mm、3.4mm、1.8mm、1.0mmであった。1.0mm PTVマージンを設定した場合、PTV線量カバレッジの低下率5%以内を満たすためには、2.0cm以上の直径または14.0cm3以上の体積をもつGTVが必要であった。

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  • Biological dose-enhancement analysis with Monte Carlo simulation for Lipiodol for photon beams

    Daisuke Kawahara, Shuichi Ozawa, Hisashi Nakano, Katsumaro Kubo, Takehiro Shiinoki, Tomoki Kimura, Yasushi Nagata

    Reports of Practical Oncology &amp; Radiotherapy   24 ( 6 )   681 - 687   2019.11

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    DOI: 10.1016/j.rpor.2019.10.006

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  • 多発脳転移に対するSingle-isocenter照射法の線量分布にセットアップの回転誤差が及ぼす影響

    中野 永, 棚邊 哲史, 宇都宮 悟, 滝澤 健司, 山田 巧, 坂井 裕則, 青山 英史

    日本放射線技術学会総会学術大会予稿集   75回   229 - 230   2019.3

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  • Effect of dose-delivery time for flattened and flattening filter-free photon beams based on microdosimetric kinetic model Reviewed

    Hisashi Nakano, Daisuke Kawahara, Kaoru Ono, Yukio Akagi, Yutaka Hirokawa

    PLOS ONE   13 ( 11 )   e0206673 - e0206673   2018.11

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    DOI: 10.1371/journal.pone.0206673

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  • Radiobiological effects of flattening filter–free photon beams on A549 non-small-cell lung cancer cells Reviewed

    Hisashi Nakano, Kazumasa Minami, Masashi Yagi, Hiromasa Imaizumi, Yuki Otani, Shinichi Inoue, Masaaki Takashina, Yuji Seo, Yutaka Takahashi, Iori Sumida, Kazuhiko Ogawa, Masahiko Koizumi

    Journal of Radiation Research   59 ( 4 )   442 - 445   2018.7

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    Flattening filter-free (FFF) photon beams minimize the intrafraction motion of tumors, and this feature is useful in pulmonary malignancies, such as non-small-cell lung cancer (NSCLC). However, the radiobiological effects of such beams on NSCLC cells, which are often treated with stereotactic body radiotherapy (SBRT), have not been investigated sufficiently. Although cell motility may be promoted by photon beams with a low dose, the relationship between cell motility and the dose rate of photon beams has not been evaluated. The purpose of this study was to evaluate the radiobiological effects of FFF photon beams on cell survival and motility in NSCLC. A human lung cancer cell line (A549) was irradiated with conventional flattening filter (FF) and FFF photon beams at dose rates of 300 (FF), 500 and 2000 MU/min (FFF). While cell survival was estimated using the colony formation assay, cell motility was evaluated using the Boyden chamber and Matrigel invasion assays. FFF photon beams with a high dose rate neither affected the survival of A549 cells nor caused any significant difference in their motility. On the other hand, high-dose irradiation reduced cell survival and motility regardless of the dose rate. Photon beams with a high dose rate used for radiation therapy are suitable for SBRT from the standpoint of both cell survival and motility, in addition to their physical characteristics.

    DOI: 10.1093/jrr/rry041

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  • Biological Dose Enhancement Using Lipiodol in Liver SBRT After TACE

    Kawahara D, Nakano H, Ozawa S, Saito A, Kimura T, Tsuneda M, Hioki K, Masuda H, Ochi Y, Nakashima T, Ohno Y, Murakami Y, Nagata, Y

    MEDICAL PHYSICS   45 ( 6 )   2018.7

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  • Relative biological effectiveness study of Lipiodol based on microdosimetric-kinetic model

    Daisuke Kawahara, Hisashi Nakano, Shuichi Ozawa, Akito Saito, Tomoki Kimura, Tatsuhiko Suzuki, Masato Tsuneda, Sodai Tanaka, Yoshimi Ohno, Yuji Murakami, Yasushi Nagata

    Physica Medica   46   89 - 95   2018.2

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    DOI: 10.1016/j.ejmp.2018.01.018

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  • Inorganic polyphosphate enhances radio-sensitivity in a human non-small cell lung cancer cell line, H1299. Reviewed

    Hisashi Nakano

    Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine   39 ( 6 )   101042831770503 - 101042831770503   2017.6

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    Inorganic polyphosphate is a linear polymer containing tens to hundreds of orthophosphate residues linked by high-energy phosphoanhydride bonds. Polyphosphate has been recognized as a potent anti-metastasis reagent. However, the molecular mechanism underlying polyphosphate action on cancer cells is poorly understood. In this study, we investigated the involvement of polyphosphate in radio-sensitivity using a human non-small cell lung cancer cell line, H1299. We found that polyphosphate treatment decreases cellular adenosine triphosphate levels, suggesting a disruption of energy metabolism. We also found that the induction of DNA double-strand breaks was enhanced in polyphosphate-treated cells after X-ray irradiation and colony formation assay revealed that cell survival decreased compared with that of the control groups. These findings suggest that polyphosphate is a promising radio-sensitizer for cancer cells. Therefore, we hypothesized that polyphosphate treatment disrupts adenosine triphosphate-mediated energy transfer for cellular survival and DNA repair, thereby reducing the cellular capability to resist X-ray irradiation.

    DOI: 10.1177/1010428317705033

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    Other Link: http://journals.sagepub.com/doi/full-xml/10.1177/1010428317705033

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MISC

  • 仮想均質ファントムを使用した小照射野線量計算の多施設データ解析

    好村 尚記, 河原 大輔, 中野 永, 早田 将博, 工藤 剛吏, 羽原 幸作, 羽原 弘士

    日本放射線技術学会総会学術大会予稿集   76回   201 - 201   2020.3

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  • Effect of Translational Error on Dose Uncertainty with Single-isocenter Stereotactic Radiosurgery for Multiple Brain Metastases

    24   81 - 89   2020.1

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  • 悪性神経膠腫のVMAT治療計画における2つの線量計算アルゴリズム Analytic Anisotropic AlgorithmとAcuros XBの違いが線量分布へ与える影響

    滝澤 健司, 棚邊 哲史, 宇都宮 悟, 久島 尚隆, 中野 永, 太田 篤, 斎藤 紘丈, 中野 智成, 阿部 英輔, 海津 元樹, 青山 英史

    定位的放射線治療   23   43 - 54   2019.1

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    悪性神経膠腫に対する強度変調回転放射線治療(VMAT)の治療計画におけるAnalytical Anisotropic Algorithm(AAA)とAcuros XB(AXB)の線量分布の違いを明らかにし、AXBの臨床的意義を明らかにすることを目的とした。悪性神経膠腫に対してVMATが施行された連続16症例を対象とした。計画標的体積(PTV)60のD95%およびV95%はAXB治療計画の方が有意に低く、各々効果量は大きかった。CTV60のD95%およびV95%は各々AXB治療計画の方が有意に低く、D95%の効果量は中等度で、V95%の効果量は小さかった。PTV60_skullのD95%およびV95%はAXB治療計画の方が有意に低く、各々効果量は大きかった。一方、PTV60_airについては、D95%はAXB治療計画の方が有意に高かったが、V95%の有意差は認められず、各々効果量は小さかった。また、頭蓋骨体積とPTV60、PTV50の各々の線量差に対する相関係数は0.66、0.71と高い正の相関が認められ、PTV内の頭蓋骨体積の割合が大きいほど線量差は大きくなった。

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Presentations

  • 企画 「プロフェッショナルに学ぶ:若き医学物理のキャリアと研究を繋ぐ」のアンケート結果報告

    恒田 雅人, 田中 創大, 平島 英明, 中野 永, 藤本 昴也, 河原 大輔

    第127回日本医学物理学会学術集会  2024.4 

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    Event date: 2024.4

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  • Assessing tumor volume changes varying the dose delivery time using a novel mathematical model in stereotactic body radiation therapy for non-small cell lung cancer

    Hisashi Nakano, Takehiro Shiinoki, Satoshi Tanabe, Satoru Utsunomiya, Toshimichi Nakano, Tomoya Oshikane, Atsushi Ohta, Motoki Kaidu,Teiji Nishio, Hiroyuki Ishikawa

    The 3rd International Conference on Radiological Physics and Technology  2024.4 

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    Event date: 2024.4

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  • 複数脳腫瘍単一アイソセンタ照射における線量計算検証ソフトウェアのカスタムモデリングの有用性

    山田 巧, 中野 永, 棚邊 哲史, 坂井 達也, 岡 哲也, 坂井 裕則, 金澤 勉

    第80回日本放射線技術学会総会学術大会  2024.4 

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    Event date: 2024.4

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  • 治療計画装置を用いたシミュレーションによるVMATのインタープレイ効果の評価

    鈴木 凛, 渡辺 悠介, 眞弓 和輝, 中野 永, 棚邊 哲史, 早川 岳英, 笹本 龍太, 宇都宮 悟

    第127回日本医学物理学会学術集会  2024.4 

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  • MLC位置エラー発生時のフルエンス分布のデルタラジオミクス特徴量とDVHパラメータ変動の相関

    渡辺 悠介, 鈴木 凛, 眞弓 和輝, 坂井 まどか, 木村 裕利, 中野 永, 棚邊 哲史, 近藤 世範, 笹本 龍太, 宇都宮 悟

    第127回日本医学物理学会学術集会  2024.4 

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  • シングルアイソセンタ照射法におけるカウチモデリングと高解像 度二次元検出器による線量評価

    山田 巧, 坂井 達矢, 中野 永, 棚邊 哲史, 岡 哲也, 坂井 裕則, 金沢 勉

    第51回日本放射線技術学会秋季学術大会  2023.10 

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    Event date: 2023.10

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  • シングルアイソセンタ照射法の患者線量検証 におけるカウチモデリングの影響

    坂井 達矢, 山田 巧, 岡 哲也, 坂井 裕則, 棚邊 哲史, 中野 永, 金沢 勉

    第51回日本放射線技術学会秋季学術大会  2023.10 

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  • プログラム委員企画 プロフェッショナルに学ぶ:若き医学物理のキャリアと研究を繋ぐ

    恒田 雅人, 田中 創大, 平島 英明, 中野 永, 藤本 昂也, 河原 大輔

    第126回日本医学物理学会学術大会  2023.9 

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    Event date: 2023.9

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  • 両側大腿骨頭置換術に対しHDR-BT単独照射を実施した2症例

    押金 智哉, 海津 元樹, 田邊 俊平, 中野 永, 棚邉 哲史, 宇都宮 悟, 石川 浩志

    第25回小線源治療部会学術大会  2023.5 

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  • Mathematical Model for Tumor Volume Calculation with Setup Error Using Single-Isocenter Stereotactic Radiotherapy

    Hisashi Nakano, Takehiro Shiinoki, Satoshi Tanabe, Toshimichi Nakano, Takeshi Takizawa, Satoru Utsunomiya, Madoka Sakai, Shunpei Tanabe, Motoki Kaidu, Teiji Nishio, Hiroyuki Ishikawa

    第125回日本医学物理学会学術集会  2023.4 

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  • Initial experience of tumor bed stereotactic radiotherapy for resected brain metastases in our hospital

    中野 智成, 本田 母映, 押金 智哉, 太田 篤, 海津 元樹, 中野 永, 棚邊 哲史, 石川 浩志

    第82回日本医学放射線学会総会  2023.4 

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  • 脳転移全脳照射後3年生存症例の認知機能に関連する因子

    中野智成, 吉村奈津美, 本田母映, 押金智哉, 太田篤, 山名展子, 中野永, 棚邊 哲史, 海津元樹, 石川浩志

    日本放射線腫瘍学会第35回学術大会  2022.11 

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  • 精嚢浸潤前立腺癌に対する外照射併用高線量率組織内照射の治療成績

    押金 智哉, 海津 元樹, 吉村 奈津実, 本田 母映, 中野 智成, 太田 篤, 山名 展子, 阿部 智也, 田邊 俊平, 中野 永, 棚邊 哲史, 宇都宮 悟, 石川 浩志

    日本放射線腫瘍学会第35回学術大会  2022.11 

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    Presentation type:Oral presentation (general)  

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  • Radiobiological evaluation considering the treatment time with CyberKnife stereotactic radiosurgery for brain metastases

    Hisashi Nakano, Takeshi Takizawa, Daisuke Kawahara, Satoshi Tanabe, Satoru Utsunomiya, Motoki Kaidu, Katsuya Maruyama, Shigekazu Takeuchi, Kiyoshi Onda, Masahiko Koizumi, Teiji Nishio, Hiroyuki Ishikawa

    第123回日本医学物理学会学術集会  2022.4 

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    Event date: 2022.4

    Language:English   Presentation type:Oral presentation (general)  

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  • The impact of MLC positional errors on radiobiological metrics in volumetric- modulated radiation therapy

    Tomotaka Kinoshita, Takayuki Nishikata, Natsuki Ishizaka, Sae Nakamura, Satoshi Tanabe, Hisashi Nakano, Madoka Sakai, Shunpei Tanabe, Takeshi Takizawa, Motoki Kaidu, Hiroyuki Ishikawa, Satoru Utsunomiya

    第123回日本医学物理学会学術集会  2022.4 

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    Event date: 2022.4

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  • 頭頸部強度変調放射線治療における 金属アーチファクトの輪郭抽出時間への影響

    勝良剛詞, 棚邊哲史, 中野永, 坂井まどか, 宇都宮悟, 太田篤, 海津元樹, 曽我麻里恵, 林孝文

    日本放射線腫瘍学会第34回学術大会  2021.11 

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    Event date: 2021.11

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  • シングルアイソセンタ照射法における高解像度二次元検出器の線量評価

    山田巧, 坂井達矢, 中野永, 棚邊哲史, 岡哲也, 比護祐介, 坂井裕則, 金澤 勉

    第49回日本放射線技術学会秋季学術大会  2021.10 

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    Event date: 2021.10

    Presentation type:Oral presentation (general)  

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  • Effect of target positioning error on tumor control probability in stereotactic radiosurgery for metastatic brain tumors using the CyberKnife M6

    Takizawa T, Tanabe S, Nakano H, Utsunomiya S, Sakai M, Maruyama K, Takeuchi S, Nakano T, Ohta A, Kaidu M, Ishikawa H, Onda K

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    Event date: 2021.7

    Presentation type:Oral presentation (general)  

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  • Evaluation of complexity of VMAT plans using radiomic features of 3-dimensional dose distributions and its correlation to gamma passing rate

    石坂 夏希, 中村 沙愛, 上田 真敬, 棚邊 哲史, 中野 永, 坂井 まどか, 滝澤 健司, 海津 元樹, 石川 浩志, 宇都宮 悟

    第121回日本医学物理学会学術大会  2021.4 

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    Event date: 2021.4

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  • Deep learning-based detection and classification of MLC modeling errors in VMAT patient-specific QA

    中村 沙愛, 石坂 夏希, 上田 真敬, 棚邊 哲史, 中野 永, 坂井 まどか, 李 鎔範, 海津 元樹, 石川 浩志, 宇都宮 悟

    第121回日本医学物理学会学術大会  2021.4 

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    Event date: 2021.4

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  • Radiobiological Evaluation on Single-Isocenter Technique with Setup Error in Stereotactic Radiosurgery

    中野 永, 棚邊 哲史, 滝澤 健司, 山田 巧, 宇都宮 悟, 坂井 裕則, 石川 浩志

    第77回日本放射線技術学会総会学術大会  2021.4 

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    Event date: 2021.4

    Presentation type:Oral presentation (general)  

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  • Formulation of objective indices to quantify machine failure risk analysis for interruptions in radiotherapy

    Kawahara D, Nakano H, Saito A, Ochi Y, Nagata Y

    第34回高精度放射線外部照射部会学術大会  2021.3 

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    Event date: 2021.3

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  • Dual-energy CTを用いた 金属アーチファクト低減と線量計算への影響

    上田真敬, 中野永, 河原大輔, 成田啓廣, 能登義幸, 坂井まどか, 棚邊哲史, 青山英史, 斎藤正敏, 宇都宮悟

    日本放射線腫瘍学会第33回学術大会  2020.10 

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    Event date: 2020.10

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  • 新潟大学医歯学総合病院 医学物理士レジデントコース: 5年の成果と課題

    宇都宮悟, 棚邊哲史, 中野永, 坂井まどか, 高橋春奈, 久島尚隆, 滝澤健司, 成田啓廣, 早川岳英, 山田巧, 坂井裕則, 金沢勉, 笠原敏文, 笹本龍太, 海津元樹, 和田真一, 青山英史

    日本放射線腫瘍学会第33回学術大会  2020.10 

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  • Radiomicsを用いたIMRTの線量分布 検証におけるエラーの自動判別

    坂井 まどか, 中野 永, 棚邊 哲史, 河原 大輔, 山田 巧, 坂井 裕則, 笹本 龍太, 李 鎔範, 青山 英史, 宇都宮 悟

    日本放射線腫瘍学会第33回学術大会  2020.10 

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  • Evaluation of metal artifact reduction using virtual monochromatic imaging by dual-energy CT and iterative metal artifact reduction algorithm

    上田真敬, 中野永, 成田啓廣, 能登義幸, 坂井まどか, 小荒井陽花, 棚邊哲史, 青山英史, 斎藤正敏, 宇都宮悟

    第119回日本医学物理学会  2020.5 

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    Event date: 2020.5 - 2020.6

    Presentation type:Oral presentation (general)  

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  • A Multi-ceAnalytical Study of Small Field Dose Calculations Using a Virtual Homogeneous Phantom

    好村 尚記, 河原 大輔, 中野 永, 早田将博, 工藤剛吏, 羽原幸作, 羽原弘士

    第76回日本放射線技術学会総会学術大会  2020.5 

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  • 局所進行性非小細胞肺癌に対する心毒性低減を目的としたVMAT治療計画法の検討

    佐々木捷, 棚邊哲史, 中野永, 宇都宮悟, 太田篤, 海津元樹, 青山英史

    第33回高精度放射線外部照射部会学術大会  2020.4 

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    Event date: 2020.4

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  • 多発脳転移に対するSingle-socenter VMATのセットアップエラー による物理・生物学的影響の評価

    中野永

    日本放射線技術学会 第61回放射線治療セミナー  2024.1 

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  • 当院における多発脳転移への定位照射の新たな試み

    中野 智也, 押金 智哉, 太田 篤, 中野 永, 棚邉 哲史, 海津 元樹, 石川 浩志

    第46回新潟肺癌研究会総会  2023.8 

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  • Evaluation of treatment planning parameters affecting the gamma analysis based on machine learning for CyberKnife brain stereotactic radiotherapy

    Sae Nakamura, Takeshi Takizawa, Satoru Utsunomiya, Hisashi Nakano, Satoshi Tanabe, Hiroya Kawamura, Tomoya Kamei, Katsuya Maruyama, Ryuta Sasamo, Kiyoshi Onda

    第125回日本医学物理学会学術集会  2023.4 

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  • Unsupervised learning with Generative Adversarial Network for error detection in intensity-modulated radiation therapyUnsupervised learning with Generative Adversarial Network for error detection in intensity-modulated radiation therapy

    Kazuki Mayumi, Shunpei Tanabe, Hisashi Nakano, Satoshi Tanabe, Motoki Kaidu, Yohan Kondou, Ryuta Sasamoto, Hiroyuki Ishikawa, Satoru Utsunomiya

    第125回日本医学物理学会学術集会  2023.4 

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  • 新潟大学での高精度治療の現状(多発脳転移に対するシングルアイソセンタ脳定 位照射 -基礎検討から HyperArc の導入まで-)

    中野 永

    第67回臨床医学物理研究会  2023.3 

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    Presentation type:Oral presentation (invited, special)  

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  • サイバーナイフによる円形照射野を用いた頭蓋内定位照射の線量検証に影響を与える治療計画パラメータ

    亀井 智也, 滝澤 健司, 宇都宮 悟, 中野 永, 棚邊 哲史, 阿部 智也, 恩田 清, 丸山 克也, 笹本 龍太

    第31回日本定位放射線治療学会  2022.5 

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  • 新潟大学医歯学総合病院で行われている甲状腺癌アイソトープ治療(内照射)の現状

    海津元樹, 太田篤, 中野智成, 押金智哉, 山名展子, 本田母映, 棚邊哲史, 中野永, 坂井まどか, 田邊俊平, 石川浩志

    第127回新潟臨床放射線学会  2021.12 

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  • 多施設共同研究の事務局を終えて

    中野智成, 本田母映, 押金智哉, 山名展子, 太田篤, 海津元樹, 田邊俊平, 坂井まどか, 中野永, 棚邊哲史, 石川浩志

    第127回新潟臨床放射線学会  2021.12 

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  • 多発脳転移に対するシングルアイソセンタ照射におけるセットアップエラーによる線量不確かさへの影響の評価とこれまでの試み

    中野永, 棚邊哲史, 坂井まどか, 田邊俊平, 山名展子, 押金智哉, 本田母映, 中野智成, 太田篤, 海津元樹, 石川浩志, 笹本龍太, 宇都宮悟

    第127回新潟臨床放射線学会  2021.12 

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  • 新潟大学医歯学総合病院 医学物理士レジデントコースの成果と課題

    棚邊哲史, 中野永, 坂井まどか, 田邊俊平, 海津元樹, 石川浩志, 宇都宮悟, 高橋春奈, 久島尚隆, 滝澤健司

    第127回新潟臨床放射線学会  2021.12 

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  • サイバーナイフによる円形照射野を用いた頭蓋内定位照射の線量検証に影響を与えるビームパラメータ

    亀井智也, 宇都宮悟, 阿部智也, 笹本龍太, 中野永, 棚邊哲史, 滝澤健司, 恩田清, 丸山克也

    第127回新潟臨床放射線学会  2021.12 

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  • Effect of the Target Positioning Error to Dose Distributions and Tumor Control Probability for the Intracranial Stereotactic Radiosurgery

    滝澤健司, 棚邊哲史, 中野永, 宇都宮悟, 田村啓和, 丸山克也, 恩田清

    第76回日本放射線技術学会総会学術大会  2020.5 

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  • Limitation Distance in the Single-Isocenter Technique on Stereotactic Radiosurgery for Multiple Brain Metastases with Rotational Error Using a Margin-Based Analysis

    中野永, 棚邊哲史, 山田巧, 宇都宮悟, 滝澤健司, 坂井裕則, 青山英史

    第76回日本放射線技術学会総会学術大会  2020.5 

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  • Biological effect of gating window on NSCLC cells in real-time tumor-tracking radiotherapy

    Satoshi Tanabe, Hisashi Nakano, Osamu Umetsu, Daisuke Kawahara, Takeshi Takizawa, Satoru Utsunomiya, Gen Kawaguchi, Hidefumi Aoyama

    日本放射線腫瘍学会第32回学術大会  2019.11 

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  • 多発脳転移に対するMLC搭載型サイバーナイフM6を用いた定位手術的照射の有用性

    滝澤健司, 棚邊哲史, 中野永, 宇都宮悟, 田村哲和, 坂井裕則, 山田巧, 丸山克也, 青山英史, 恩田清

    日本放射線腫瘍学会第32回学術大会  2019.11 

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  • ラジオミクスと機械学習を用いたIMRTの線量分布検証におけるエラーの自動判別

    坂井 まどか, 小荒井 陽花, 上田 真敬, 笹本 龍太, 棚邊 哲史, 中野 永, 山田 巧, 坂井 裕則, 青山 英史, 宇都宮 悟

    日本放射線腫瘍学会第32回学術大会  2019.11 

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  • 自作プログラムを用いた VMAT 精度管理

    坂井 達矢, 坂井 裕則, 岡 哲也, 山田 巧, 比護 祐介, 多賀 貴俊, 棚邊 哲史, 中野 永, 宇都宮 悟

    第9回東北放射線医療技術学術大会  2019.10 

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  • Machine Learning with Radiomic Features to Detect the Types of Errors in IMRT Patient-Specific QA

    Sakai M, Koarai H, Ueda M, Shigeta S, Nakano H, Takizawa T, Tanabe S, Sasamoto R, Aoyama H, Utsunomiya S

    AAPM 61st Annual Meeting and Exhibition, San Antonio, USA  2019.7 

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  • Effect of the Rotational Error on the Dose Distribution with Single-isocenter Technique of Stereotactic Radiotherapy for Multiple Brain Metastases

    Nakano H, Tanabe S, Utsunomiya S, Takizawa T, Yamada T, Sakai H, Aoyama H

    AAPM 61st Annual Meeting and Exhibition, San Antonio, USA  2019.7 

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  • 多発脳転移に対する単一アイソセンタ照射法における患者セットアップの並進誤差が線量不確かさに及ぼす影響

    中野 永, 棚邊 哲史, 宇都宮 悟, 滝澤 健司, 山田 巧, 坂井 裕則, 青山 英史

    第28回日本定位放射線治療学会  2019.6 

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  • 多発脳転移に対する Single-isocenter 照射法の線量分布にセットアップの回転誤差が及ぼす影響

    中野 永, 棚邊 哲史, 宇都宮 悟, 滝澤 健司, 山田 巧, 坂井 裕則, 青山 英史

    第75回日本放射線技術学会総会学術大会  2019.4 

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  • 不均質ファントムを使用した小照射野線量検証の多施設共同研究に向けて

    河原 大輔, 津田 信太朗, 中野 永, 藤井 康司, 小野 薫, 中尾 稔, 芝 栄志, 工藤 剛史, 羽原 幸作, 木村 洋司

    第14回中四国放射線医療技術フォーラム  2018.11 

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  • Biological Dose Enhancement Using Lipiodol in Liver

    Kawahara D, Nakano H, Ozawa S, Saito A, Kimura T, Tsuneda M, Hioki K, Masuda H, Ochi Y, Nakashima T, Ohno Y, Murakami Y, Nagata Y

    The American Association of Physicists in Medicine 60th Annual meeting  2018.7 

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  • Microdosimetric Kineticモデルに基づいた光子線中断時間の影響

    中野 永, 河原 大輔, 小野 薫, 赤木 由紀夫, 廣川 裕

    第74回日本放射線技術学会総会学術大会  2018.4 

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  • Relative biological effectiveness and relative dose-rate effect on Lipiodol based on the MK model

    Kawahara D, Nakano H, Ozawa S, Saito A, Kimura T, Hioki K, Okumura T, Ochi Y, Nakashima T, Suzuki T, Tsuneda M, Tanaka S, Ohno Y, Murakami Y, Nagata Y

    The 37th European Society for Radiotherapy & Oncology  2018.4 

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  • ラジオクロミックフィルムにおけるマルチチャネル法による線量解析精度の評価

    中野 永, 小野 薫, 藤本 幸恵, 赤木 由紀夫, 廣川 裕

    第45回日本放射線技術学会秋季学術大会  2017.10 

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  • Relative biological effectiveness study on Lipiodol based on microdosimetric-kinetic model

    Kawahara D, Nakano H, Ozawa S, Saito A, Kimura T, Tsuneda M, Tanaka S, Ohno Y, Murakami Y, Nagata Y

    8th Japan-Korea medical physics Joint Meeting  2017.9 

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  • Effect of dose-delivery time with flattened and flattening filter-free photon beams based on microdosimetric kinetic model.

    Nakano H, Kawahara D, Ono K, Akagi Y, Hirokawa Y

    8th Japan-Korea medical physics Joint Meeting  2017.9 

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  • Pulse Width Modulation解析によるHigh-definition Multi-leaf Collimatorの品質管理

    中野 永, 小野 薫, 藤本 幸恵, 赤木 由紀夫, 廣川 裕

    第73回日本放射線技術学会総会学術大会  2017.4 

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  • ポリリン酸がヒト肺非小細胞癌由来細胞株の放射線感受性に及ぼす影響

    堤 香織, 菅原 智紀, 田村 麻奈実, 澤田 彗, 福良 沙霧, 中野 永, 松谷 悠佑

    第38回日本分子生物学会年会、第88回日本生化学会大会  2015.12 

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Awards

  • 第127回日本医学物理学会学術大会 学生奨励賞 奨励賞

    2024.4   第127回日本医学物理学会学術大会   MLC位置エラー発生時のフルエンス分布のデルタラジオミクス特徴量とDVHパラメータ変動の相関

    渡辺 悠介、鈴木 凛, 眞弓 和輝, 坂井 まどか, 木村 祐利, 中野 永, 棚邊 哲史, 近藤 世範, 笹本 龍太, 宇都宮 悟

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  • 日本放射線技術学会 2021年度 研究奨励賞・技術新人賞 治療分野

    2022.4  

    中野 永

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  • Journal of Applied Clinical Medical Physics Most Cited Article in 2020-2021

    2021.12  

    中野 永

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  • International Student Speaker Recognition of 121st Scientific Meeting of Japan Society of Medical Physics

    2021.4  

    石坂 夏希, 中村 沙愛, 上田 真敬, 棚邊 哲史, 中野 永, 坂井 まどか, 滝澤 健司, 海津 元樹, 石川 浩志, 宇都宮 悟

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  • 2019・2020年度JASTRO研究課題班 第2回放射線治療計画トライアル

    2020.6   日本放射線腫瘍学会  

    中野 永

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  • 優秀研究賞

    2020.5   日本放射線技術学会 第76回日本放射線技術学会総会学術大会  

    中野永, 棚邊哲史, 山田巧, 宇都宮悟, 滝澤健司, 坂井裕則, 青山英史

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  • 2019・2020年度JASTRO研究課題班 第1回放射線治療計画トライアル

    2019.8   臨床医学物理研究会 (CMPFG)  

    中野 永

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  • 優秀演題賞

    2018.7   第27回日本定位放射線治療学会   悪性神経膠腫のVMAT治療計画における2つの線量計算アルゴリズム: Analytic Anisotropic AlgorithmとAcuros XBの違いが線量分布へ与える影響

    滝澤健司, 棚邊哲史, 宇都宮悟, 久島尚隆, 中野永, 太田篤, 斎藤紘丈, 中野智成, 阿部英輔, 海津元樹, 青山英史

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  • 優秀研究賞

    2017.10   日本放射線技術学会 第45回日本放射線技術学会秋季学術大会  

    中野 永

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Research Projects

  • 数理腫瘍モデルに基づく患者個別化放射線治療に向けた腫瘍制御率予測システムの開発

    Grant number:24K18790

    2024.4 - 2027.3

    System name:若手研究

    Awarding organization:日本学術振興会 科学研究費助成事業

    中野 永

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    Authorship:Principal investigator 

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  • Delta-radiomicsを応用したVMAT患者個別QAシステムの開発

    Grant number:22K07792

    2022.4 - 2025.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

    Research category:Grant-in-Aid for Scientific Research (C)

    Awarding organization:Japan Society for the Promotion of Science

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    Authorship:Coinvestigator(s) 

    Grant amount:\3770000 ( Direct Cost: \2900000 、 Indirect Cost:\870000 )

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  • Development of new radiobiological dose evaluation system based on the dose-delivery time in radiation therapy

    Grant number:19K17227

    2019.4 - 2025.3

    System name:Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists

    Research category:Grant-in-Aid for Early-Career Scientists

    Awarding organization:Japan Society for the Promotion of Science

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    Authorship:Principal investigator 

    Grant amount:\4290000 ( Direct Cost: \3300000 、 Indirect Cost:\990000 )

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Teaching Experience (researchmap)

Teaching Experience

  • 医学物理臨床実習

    2020.4
    -
    2020
    Institution name:新潟大学

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    Level:Undergraduate (liberal arts)  Country:Japan