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Prediction model of local effect model-based rectal dose volume histogram in prostate cancer patients treated with carbon ion radiotherapy
Yang Yifeng1,2, Wang Weiwei3, Li Ping1, Zhao Jingfang2,3, Zhang Qing1
1Department of Abdominal and Pelvic Tumor, Shanghai Proton and Heavy Ion Center / Shanghai Key Laboratory of radiation oncology(20dz2261000) / Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai 201321, China; 2Department of Radiation Oncology, Fudan University Cancer Hospital, Shanghai 201321, China; 3Department of Medical Physics, Shanghai Proton and Heavy Ion Center / Shanghai Key Laboratory of radiation oncology(20dz2261000) / Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai 201321, China
AbstractObjective To establish a local effect model (LEM)-based rectal dose volume histogram (DVH) prediction model in prostate cancer patients treated with carbon ion therapy based on Japanese experience, aiming to provide reference for clinically reducing the incidence of rectal adverse reactions. Methods The planning CT data of 76 patients with prostate cancer were collected. The microdosimetric kinetic model (MKM) was used for initial planning, and the LEM was selected to recalculate the biological dose based on the same fields to MKM. Then, the geometric features and DVH of the rectum were extracted from the LEM plans. The planning data of 61 cases were used to establish the prediction model with linear regression and the other 15 cases were used for validation. Results The ratio of the overlapped volume between the rectum and the region of interest (ROI) expended from planning target volume by 1cm along the left and right directions of the rectum could be proved to be the characteristic parameters for linear regression. The mean goodness-of-fit R2 of predicted and LEM plan-based DVH of 15 cases was 0.964. The results of predicted rectal adverse reactions based on predicted DVH were consistent with those of LEM plan-based DVH. Conclusions The linear regression method used in this study can establish an accurate prediction model of rectal DVH, which may provide certain reference for reducing the incidence of rectal adverse reactions. Nevertheless, the findings remain to be further verified by clinical trials with larger sample size.
Fund:National Key Research and Development Program of China (2017YFC0107600);Pudong New Area Science and Technology Development Foundation (PKJ2020-Y52);Shanghai Shen-kang Hospital Development Center (16CR3097B)
Yang Yifeng,Wang Weiwei,Li Ping et al. Prediction model of local effect model-based rectal dose volume histogram in prostate cancer patients treated with carbon ion radiotherapy[J]. Chinese Journal of Radiation Oncology, 2021, 30(10): 1041-1046.
Yang Yifeng,Wang Weiwei,Li Ping et al. Prediction model of local effect model-based rectal dose volume histogram in prostate cancer patients treated with carbon ion radiotherapy[J]. Chinese Journal of Radiation Oncology, 2021, 30(10): 1041-1046.
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2021, Vol. 30 
