Development of a novel prediction model for the dynamic tumor tracking toward the high-accurate four-dimensional image-guided radiotherapy

• Project/Area Number: 15K21102
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Radiation science; Medical Physics and Radiological Technology
• Research Institution: Kyoto University
• Principal Investigator: Mukumoto Nobutaka 京都大学, 医学研究科, 特定職員 (50736618)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000); Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
• Keywords: 医学物理学 / 呼吸性移動対策 / 動体追尾 / 品質保証 / 精度検証 / 動体ファントム / 呼吸性移動 / 品質管理 / 放射線治療 / 医学物理 / 四次元放射線治療 / 線量精度 / 呼吸波 / 高精度化 / 予測モデル / 四次元画像誘導放射線治療

Outline of Final Research Achievements

Patient's respiratory motion will be changed due to the baseline drift. The accuracy of a prediction model for the dynamic tumor tracking will be decreased as the treatment time elapsed. We have developed four-axis moving phantom which enables to reproduce the patient’s respiratory motion including the baseline drift with high accuracy. The novel prediction model for the dynamic tumor tracking improved the prediction accuracy by updating the model using the real tumor position during beam delivery. However, the sampling interval greater than 2 seconds have a risk for creating the low-accurate prediction model.

Research Products

• [Journal Article] Impact of sampling interval in training data acquisition on intrafractional predictive accuracy of indirect dynamic tumor-tracking radiotherapy (2017)
  • Author(s): Mukumoto Nobutaka、Nakamura Mitsuhiro、Akimoto Mami、Miyabe Yuki、Yokota Kenji、Matsuo Yukinori、Mizowaki Takashi、Hiraoka Masahiro
  • Journal Title: Medical Physics Volume: 44 Issue: 8 Pages: 3899-3908
  • DOI: 10.1002/mp.12351
  • Peer Reviewed / Open Access
• [Journal Article] Development of a four-axis moving phantom for patient-specific quality assurance of surrogate signal-based dynamic tumor-tracking intensity-modulated radiotherapy. (2016)
  • Author(s): Mukumoto N, Nakamura M, Yamada M, Takahashi K, Akimoto M, Miyabe Y, Yokota K, Kaneko S, Nakamura A, Itasaka S, Matsuo Y, Mizowaki T, Kokubo M, Hiraoka M.
  • Journal Title: Med Phys Volume: 43 Issue: 12 Pages: 6364-6374
  • DOI: 10.1118/1.4966130
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Journal Article] Impact of Different Sampling Interval in Training Data Acquisition on the Prediction Accuracy in Surrogate Signal-based Dynamic Tumor Tracking with a Gimbaled Linac (2015)
  • Author(s): N. Mukumoto, M. Nakamura, M. Akimoto, Y. Miyabe, K. Yokota, Y. Matsuo, T. Mizowaki, and M. Hiraoka
  • Journal Title: Int J Radiat Oncol Biol Phys Volume: 93 Issue: 3 Pages: E575-E575
  • DOI: 10.1016/j.ijrobp.2015.07.2017
  • Peer Reviewed
• [Presentation] Impact of Different Sampling Interval in Training Data Acquisition on the Prediction Accuracy in Surrogate Signal-based Dynamic Tumor Tracking with a Gimbaled Linac (2015)
  • Author(s): Nobutaka Mukumoto, Mitsuhiro Nakamura, Mami Akimoto, Yuki Miyabe, Kenji Yokota, Yukinori Matsuo, Takashi Mizowaki, Masahiro Hiraoka
  • Organizer: ASTRO’s 57th Annual meeting
  • Place of Presentation: Henry B. Gonzalez Convention Center, San Antonio, USA
  • Year and Date: 2015-10-18
  • Int'l Joint Research