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Clinical implementation of iterative cone-beam computed tomography guided online adaptive radiotherapy for the pelvic malignancies
Wang Guangyu1, Yan Junfang1, Wang Zhiqun1, Zhang Yu1, Sun Yuliang1, Zeng Zheng1, Sun Xiansong1, Li Wenbo1, Yang Bo1, Zhang Fuquan1,2
1Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China; 2State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
AbstractObjective To evaluate the clinical application of online adaptive radiotherapy based on iterative cone-beam computed tomography (iCBCT) for the pelvic malignancies. Methods This was a prospective clinical trial of iCBCT guided online adaptive radiotherapy for pelvic malignancies in Department of Radiation Oncology, Peking Union Medical College Hospital. Clinical data of 13 patients with pelvic malignancies who received online adaptive radiotherapy from August to November, 2022 were preliminarily analyzed (2 cases of cervical cancer, 4 postoperative cervical cancer, 3 postoperative endometrial cancer, 3 bladder cancer and 1 prostate cancer). The feasibility of online adaptive radiotherapy, adaptive radiotherapy time, the frequency and magnitude of edits for organs at risk and target volume, target volume coverage and organs at risk doses were analyzed. Statistical analysis was performed by SPSS software. Data conforming to normal distribution were described by Mean±SD, and data with non-normal distribution were expressed by M (Q1, Q3). Data with homogeneous variances were analyzed by t-test, and data with non-normal distribution or heterogeneous variances were analyzed by nonparametric test. Results The average adaptive time was 15 min and 38 s (from acceptance of acquired CBCT scan to completion of the final plan selection). 85.4% (830/972 fractions) of influencer structures (system-defined organs adjacent to and with high impact on the generation of clinical target volume and planning target volume, primarily bladder, rectum and small intestine in pelvic neoplasms) automatically generated by artificial intelligence required no edits or minor editors, and 89.8% (491/547 fractions) of clinical target volume automatically generated by artificial intelligence required no edits or minor editors. The adapted plan was adopted in 98.5% (319/324 fractions) of radiotherapy fractions. Compared with the scheduled plan, the adapted plan showed better target volume coverage and reduced the dose of organs at risk. Conclusions iCBCT guided online adaptive radiotherapy for the pelvic malignancies can be achieved within clinically acceptable timeslots. In addtion, better dose coverage of target volume shows the advantages of online adaptive radiotherapy.
Wang Guangyu,Yan Junfang,Wang Zhiqun et al. Clinical implementation of iterative cone-beam computed tomography guided online adaptive radiotherapy for the pelvic malignancies[J]. Chinese Journal of Radiation Oncology, 2023, 32(6): 526-532.
Wang Guangyu,Yan Junfang,Wang Zhiqun et al. Clinical implementation of iterative cone-beam computed tomography guided online adaptive radiotherapy for the pelvic malignancies[J]. Chinese Journal of Radiation Oncology, 2023, 32(6): 526-532.
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2023, Vol. 32 
