Radiomics study using image features of dose distribution and intra-treatment CBCT

• Project/Area Number: 17K15799
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Medical Physics and Radiological Technology
• Research Institution: The University of Tokyo
• Principal Investigator: Nawa Kanabu 東京大学, 医学部附属病院, 助教 (00456914)
• Project Period (FY): 2017-04-01 – 2021-03-31
• Project Status: Completed (Fiscal Year 2020)
• Budget Amount: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
• Keywords: レディオミクス解析 / 画質改善 / 機械学習 / 深層学習 / 医学物理 / Radiomics / 特徴量解析 / 医学物理学 / Ｒadiomics / 放射線 / 情報工学

Outline of Final Research Achievements

We studied the radiomics analysis to establish the new pattern recognition system of accurately predicting the response and prognosis of treatment from image features in medical images such as planning CT, dose distribution, and intra-treatment CBCT. The image quality improvement of medical images is an essential technology for extracting features with high accuracy. As a preprocessing for feature extraction, we constructed a method to improve the image quality of CBCT using deep learning. We investigated the effect of tumor delineation for the values of extracted features. We also examined the dependence on the dose calculation algorithm and the calculation grid size for the features extracted from the dose distribution.

Academic Significance and Societal Importance of the Research Achievements

レディオミクス解析における画質改善の重要性を明らかにし、深層学習を用いた医用画像の画質改善の手法を構築した。また線量分布に対するレディオミクス解析について線量計算のパラメターに対する詳細な検討を行った。

Research Products

• [Int'l Joint Research] Philips Radiation Oncology Systems(Australia)
• [Journal Article] Improvement in Image Quality of CBCT during Treatment by Cycle Generative Adversarial Network (2020)
  • Author(s): 今江 禄一, 鍛冶 静雄, 木田 智士, 松田 佳奈子, 竹中 重治, 青木 淳, 仲本 宗泰, 尾崎 翔, 名和 要武, 山下 英臣, 中川 恵一, 阿部 修．
  • Journal Title: Japanese Journal of Radiological Technology Volume: 76 Issue: 11 Pages: 1173-1184
  • DOI: 10.6009/jjrt.2020_JSRT_76.11.1173
  • NAID: 130007941322
  • ISSN: 0369-4305, 1881-4883
  • Peer Reviewed / Open Access
• [Journal Article] Surface and build‐up dose comparison between Elekta 6 MV flattening filter and flattening‐filter‐free beams using an advanced Markus ionization chamber and a solid water‐equivalent phantom (2020)
  • Author(s): Imae Toshikazu、Takenaka Shigeharu、Watanabe Yuichi、Aoki Atsushi、Matsuda Kanako、Sasaki Katsutake、Saegusa Shigeki、Nawa Kanabu、Nakagawa Keiichi、Abe Osamu
  • Journal Title: Journal of Applied Clinical Medical Physics Volume: 21 Issue: 12 Pages: 334-339
  • DOI: 10.1002/acm2.13094
  • Peer Reviewed / Open Access
• [Journal Article] Case Report: Anaplastic Astrocytoma Treated with Postoperative Radiotherapy Using Flattening Filter-Free Volumetric Arc Therapy (FFF-VMAT) during Pregnancy Acceptable Fetal Dosimetry (2020)
  • Author(s): Noyama Tomoyuki、Takahashi Wataru、Nozawa Yuki、Nawa Kanabu、Yamashita Hideomi、Abe Osamu、Nakagawa Keiichi
  • Journal Title: Journal of Cancer Therapy Volume: 11 Issue: 11 Pages: 738-744
  • DOI: 10.4236/jct.2020.1111063
  • Peer Reviewed / Open Access
• [Journal Article] Visual enhancement of Cone‐beam CT by use of CycleGAN (2020)
  • Author(s): Kida S, Kaji S, Nawa K, Imae T, Nakamoto T, Ozaki S, Ohta T, Nozawa Y, Nakagawa K.
  • Journal Title: Medical Physics Volume: 47(3) Issue: 3 Pages: 998-1010
  • DOI: 10.1002/mp.13963
  • Peer Reviewed / Open Access
• [Journal Article] Salvage stereotactic body radiotherapy for post?operative oligo?recurrence of non?small cell lung cancer: A single?institution analysis of 59?patients (2020)
  • Author(s): Aoki S, Yamashita H, Takahashi W, Nawa K, Ota T, Imae T, Ozaki S, Nozawa Y, Nakajima J, Sato M, Anraku M, Nitadori J, Karasaki T, Abe O, Nakagawa K.
  • Journal Title: Oncology Letters Volume: 19（4） Pages: 2695-2704
  • DOI: 10.3892/ol.2020.11407
  • Peer Reviewed / Open Access
• [Journal Article] Acceptable fetal dose using flattening filter-free volumetric arc therapy (FFF VMAT) in postoperative chemoradiotherapy of tongue cancer during pregnancy (2020)
  • Author(s): Takahashi Wataru, Nawa Kanabu, Haga Akihiro, Yamashita Hideomi, Imae Toshikazu, Ogita Mami, Okuma Kae, Abe Osamu, Nakagawa Keiichi
  • Journal Title: Clinical and Translational Radiation Oncology Volume: 20 Pages: 9-12
  • DOI: 10.1016/j.ctro.2019.10.002
  • NAID: 120006937622
  • Peer Reviewed / Open Access
• [Journal Article] Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis (2019)
  • Author(s): Nakamoto Takahiro、Takahashi Wataru、Haga Akihiro、Takahashi Satoshi、Kiryu Shigeru、Nawa Kanabu、Ohta Takeshi、Ozaki Sho、Nozawa Yuki、Tanaka Shota、Mukasa Akitake、Nakagawa Keiichi
  • Journal Title: Scientific Reports Volume: 9 Issue: 1 Pages: 19411-19423
  • DOI: 10.1038/s41598-019-55922-0
  • NAID: 120006875662
  • Peer Reviewed / Open Access
• [Journal Article] Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy (2019)
  • Author(s): Mizutani Takuya、Magome Taiki、Igaki Hiroshi、Haga Akihiro、Nawa Kanabu、Sekiya Noriyasu、Nakagawa Keiichi
  • Journal Title: Journal of Radiation Research Volume: 60 Issue: 6 Pages: 818-824
  • DOI: 10.1093/jrr/rrz066
  • NAID: 120006959735
  • Peer Reviewed / Open Access
• [Journal Article] Improvement of the robustness to set up error by a virtual bolus in total scalp irradiation with Helical TomoTherapy (2019)
  • Author(s): Ryosuke Takenaka, Akihiro Haga, Kanabu Nawa, Yamashita Hideomi and Keiichi Nakagawa
  • Journal Title: Radiological Physics and Technology Volume: 12 Issue: 4 Pages: 433-437
  • DOI: 10.1007/s12194-019-00539-1
  • Peer Reviewed / Open Access
• [Journal Article] Cone Beam Computed Tomography Image Quality Improvement Using a Deep Convolutional Neural Network (2018)
  • Author(s): Kida Satoshi、Nakamoto Takahiro、Nakano Masahiro、Nawa Kanabu、Haga Akihiro、Kotoku Jun'ichi、Yamashita Hideomi、Nakagawa Keiichi
  • Journal Title: Cureus Volume: - Pages: 1-15
  • DOI: 10.7759/cureus.2548
  • Peer Reviewed / Open Access
• [Journal Article] Stereotactic body radiotherapy for centrally located lung tumors with 56 Gy in seven fractions: A retrospective study (2018)
  • Author(s): Aoki Shuri、Yamashita Hideomi、Haga Akihiro、Ota Takeshi、Takahashi Wataru、Ozaki Sho、Nawa Kanabu、Imae Toshikazu、Abe Osamu、Nakagawa Keiichi
  • Journal Title: Oncology Letters Volume: 16(4) Pages: 4498-4506
  • DOI: 10.3892/ol.2018.9188
  • NAID: 120007099373
  • Peer Reviewed / Open Access
• [Journal Article] Flattening filter-free technique in volumetric modulated arc therapy for lung stereotactic body radiotherapy: A clinical comparison with the flattening filter technique (2018)
  • Author(s): Aoki Shuri、Yamashita Hideomi、Haga Akihiro、Nawa Kanabu、Imae Toshikazu、Takahashi Wataru、Abe Osamu、Nakagawa Keiichi
  • Journal Title: ONCOLOGY LETTERS Volume: 15 Pages: 3928-3936
  • DOI: 10.3892/ol.2018.7809
  • Peer Reviewed / Open Access
• [Journal Article] Evaluation of a commercial automatic treatment planning system for prostate cancers. (2017)
  • Author(s): Nawa K, Haga A, Nomoto A, Sarmiento R, Norton I, Shiraishi K, Yamashita H, Nakagawa K.
  • Journal Title: Medical Dosimetry Volume: 42 Issue: 3 Pages: 203-209
  • DOI: 10.1016/j.meddos.2017.03.004
  • Peer Reviewed / Int'l Joint Research
• [Journal Article] Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis (2017)
  • Author(s): Haga Akihiro、Takahashi Wataru、Aoki Shuri、Nawa Kanabu、Yamashita Hideomi、Abe Osamu、Nakagawa Keiichi
  • Journal Title: Radiological Physics and Technology Volume: 11 Issue: 1 Pages: 27-35
  • DOI: 10.1007/s12194-017-0433-2
  • Peer Reviewed / Open Access
• [Presentation] Realtime 3D movie reconstruction algorithm using MR-linac by deep learning (2020)
  • Author(s): Y. Tamura, K. Demachi, R. Kitsunai, C. R. Bhusal, M. Nakano, K. Nawa and K. Nakagawa
  • Organizer: The 119th Scientific Meeting of the Japan Society of Medical Physics
• [Presentation] Prediction of Uterus Volume Shrinkage for Cervical Cancer Patients During Radiotherapy Using Machine-Learning Approach with Treatment Planning-CT Radiomic Features (2020)
  • Author(s): M. Nakano, T. Nakamoto, Y. Kumai, Y. Koizumi, M. Sumi, K. Nawa, T. Imae, Y. Yoshioka and M. Oguchi
  • Organizer: AAPM2020
  • Int'l Joint Research
• [Presentation] Motion Viewを用いた呼気息止め下での肝細胞癌SBRTの当院での初期経験 (2020)
  • Author(s): 野山 友幸, 山下 英臣, 野沢 勇樹, 名和 要武, 今江 禄一, 中野 正寛, 中川 恵一
  • Organizer: 日本放射線腫瘍学会第33回学術大会
• [Presentation] 左乳癌乳房全切除術後照射における3D-CRTとVMATの比較および呼吸性移動の検討 (2020)
  • Author(s): 野沢 勇樹, 扇田 真美, 名和 要武, 太田 岳史, 尾崎 翔, 仲本 宗泰, 山下 英臣, 中川 恵一
  • Organizer: 日本放射線腫瘍学会第33回学術大会
• [Presentation] 強度変調回転治療中に取得したCBCT画像に対する深層学習を用いた画質改善の試み (2020)
  • Author(s): 青木 淳, 今江 禄一, 竹中 重治, 鍛冶 静雄, 木田 智士, 名和 要武, 松田 佳奈子, 竹内 幸浩, 三枝 茂輝, 佐々木 克剛, 一宇 佑太, 中川 恵一, 山下 英臣, 岩永 秀幸, 阿部 修
  • Organizer: 日本放射線腫瘍学会第33回学術大会
• [Presentation] Cone-beam CT image quality improvement with Cycle-Consistency Generative Adversarial Network (CycleGAN) (2019)
  • Author(s): S. Kida, S. Kaji, K. Nawa, T. Imae, T. Nakamoto, S. Ozaki, T. Ohta, Y. Nozawa and K. Nakagawa
  • Organizer: The 117th Scientific Meeting of the Japan Society of Medical Physics
• [Presentation] Pseudo-CBCT image prediction of head and neck cancer patient using principal component vector fields of early treatment fractions (2019)
  • Author(s): M. Nakano, T. Imae, T. Nakamoto, K. Nawa, A. Haga, W. Takahashi, K. Nakagawa, M. Hashimoto, Y. Yoshida and M. Oguchi
  • Organizer: The 117th Scientific Meeting of the Japan Society of Medical Physics
• [Presentation] Megavoltage CT reconstruction with extended field-of-view using various prior information (2019)
  • Author(s): Y. Watanabe, T. Magome, A. Haga, K. Nawa, M. Nakano, Y. Nomura, S. Hanaoka, K. Nakagawa
  • Organizer: 52nd Annual Meeting of the Taiwan Society of Radiological Technologists (TWSRT) and the International Conference of Medical Imaging
  • Int'l Joint Research
• [Presentation] Prediction of malignant glioma grades based on a radiomic analysis (2019)
  • Author(s): T, Nakamoto, W. Takahashi, A. Haga, S. Takahashi, K. Nawa, T. Ohta, S. Ozaki, Y. Nozawa, S. Tanaka, A. Mukasa, K. Nakagawa
  • Organizer: 先端医療シーズ開発フォーラム2019
• [Presentation] Patient Setup System Using a Virtual X-Ray Image (2018)
  • Author(s): M. Hashimoto, M. Nakano, A. Haga, K. Nawa
  • Organizer: 60th Annual Meeting and Exhibition, AAPM 2018
  • Int'l Joint Research
• [Presentation] Radiomics-Based Prediction of Malignant Glioma Grades Using T2-Weighted Magnetic Resonance Images (2018)
  • Author(s): T. Nakamoto, W. Takahashi, A. Haga, S. Takahashi, K. Nawa, T. Ohta, S. Ozaki, S. Tanaka, A. Mukasa, K. Nakagawa
  • Organizer: 60th Annual Meeting and Exhibition, AAPM 2018
  • Int'l Joint Research
• [Presentation] Histology Classification in Early-Stage Non-Small-Cell Lung Cancers Using Radiomic Features (2018)
  • Author(s): A. Haga, W. Takahashi, S. Aoki, K. Nawa, H. Yamashita, J. Kotoku, O. Abe, K. Nakagawa
  • Organizer: 60th Annual Meeting and Exhibition, AAPM 2018
  • Int'l Joint Research
• [Presentation] Field-Of-View Expansion of Megavoltage CT Based On Iterative Reconstruction Algorithm Using Information of Treatment Planning KV-CT (2018)
  • Author(s): Y. Watanabe, T. Magome, A. Haga, K. Nawa, M. Nakano, Y. Nomura, S. Hanaoka, K. Nakagawa, D. Zuro, C. Han, J. Wong, S. Hui
  • Organizer: 60th Annual Meeting and Exhibition, AAPM 2018
  • Int'l Joint Research
• [Presentation] Preliminary Study of Applying Convolutional Neural Network to Detect Brain Metastases in MRI: Using Radiation Dose Profile as Ground Truth (2018)
  • Author(s): M. Murata, S. Hanaoka, Y. Nomura, T. Takenaga, T. Nakao, W. Takahashi, K. Nawa, T. Yoshikawa, N. Hayashi, O. Abe
  • Organizer: 37th JAMIT Annual Meeting (JAMIT2018)
  • Int'l Joint Research
• [Presentation] CBCT image quality improvement using a deep convolutional neural network (2018)
  • Author(s): S. Kida, T. Nakamoto, M. Nakano, K. Nawa, A. Haga, J. Kotoku, H. Yamashita, K. Nakagawa
  • Organizer: The 115th Scientific Meeting of the Japan Society of Medical Physics
• [Presentation] Field-of-view expansion of megavoltage CT based on iterative reconstruction algorithm using prior information (2018)
  • Author(s): Y. Watanabe, T. Magome, A. Haga, K. Nawa, M. Nakano, Y. Nomura, S. Hanaoka, K. Nakagawa
  • Organizer: The 115th Scientific Meeting of the Japan Society of Medical Physics
• [Presentation] Optimization of feature subset and parameters for support vector machine using genetic algorithm in outcome prediction for patients with glioma (2018)
  • Author(s): T. Mizutani, T. Magome, A. Haga, H. Igaki, K. Nawa, N. Sekiya, K. Nakagawa
  • Organizer: The 115th Scientific Meeting of the Japan Society of Medical Physics
• [Presentation] 治療計画用kVCTを事前情報に用いた逐次近似再構成法に基づくMVCT画像の有効視野拡大方法の開発 (2018)
  • Author(s): Y. Watanabe, T. Magome, A. Haga, K. Nawa, M. Nakano, Y. Nomura, S. Hanaoka, K. Nakagawa
  • Organizer: The 116th Scientific Meeting of the Japan Society of Medical Physics
• [Presentation] Auto-Planning (2018)
  • Author(s): 名和要武
  • Organizer: 第1回Pinnacleユーザーミーティング
  • Invited
• [Presentation] Material Decomposition with Prior Information Compressive Sensing (2017)
  • Author(s): A. Haga, D. Sakata, J. Kotoku, T. Magome, T. Imae, K. Nawa, K. Nakagawa
  • Organizer: AAPM 2017 59th Annual Meeting and Exhibition
  • Int'l Joint Research
• [Presentation] Dose Reconstruction for Prostate SBRT by Use of Cone-Beam CT and a Log File During FFF-VMAT Delivery (2017)
  • Author(s): T. Imae, A. Haga, Y. Watanabe, S. Takenaka, K. Nawa, W. Takahashi, H. Yamashita, Y. Takeuchi, K. Yano, K. Nakagawa, O. Abe
  • Organizer: AAPM 2017 59th Annual Meeting and Exhibition
  • Int'l Joint Research
• [Presentation] Survival time prediction after radiotherapy for malignant glioma patients based on clinical and DVH features using support vector machine (2017)
  • Author(s): T. Mizutani, T. Magome, H. Igaki, A. Haga, K. Nawa, N. Sekiya, K. Nakagawa
  • Organizer: ASTRO 2017 Annual Meeting
  • Int'l Joint Research
• [Presentation] Survival time prediction after radiation therapy for patients with glioma based on support vector machine (2017)
  • Author(s): T. Mizutani, T. Magome, H. Igaki, A. Haga, K. Nawa, N. Sekiya, K. Nakagawa
  • Organizer: JSRT 2017 73rd Annual Meeting
• [Presentation] Prediction of survival time based on clinical and DVH features using support vector machine (2017)
  • Author(s): T. Mizutani, T. Magome, H. Igaki, A. Haga, K. Nawa, N. Sekiya, K. Nakagawa
  • Organizer: JASTRO 2017 30th Annual Meeting
• [Presentation] Field-of-View expansion of megavoltage CT based on iterative reconstruction algorithm (2017)
  • Author(s): Y. Watanabe, T. Magome, A. Haga, K. Nawa, K. Nakagawa
  • Organizer: JASTRO 2017 30th Annual Meeting
• [Remarks] 東京大学医学部附属病院 放射線科 放射線治療部門
  • URL: http://u-tokyo-rad.jp/
• [Remarks] 東京大学医学部附属病院 放射線科 放射線治療部門
  • URL: http://u-tokyo-rad.jp/index.html