Clinical implementation of iterative cone-beam computed tomography guided online adaptive radiotherapy for the pelvic malignancies
10.3760/cma.j.cn113030-20221223-00435
- VernacularTitle:基于iCBCT在线自适应放疗在盆腔肿瘤中的临床应用
- Author:
Guangyu WANG
1
;
Junfang YAN
;
Zhiqun WANG
;
Yu ZHANG
;
Yuliang SUN
;
Zheng ZENG
;
Xiansong SUN
;
Wenbo LI
;
Bo YANG
;
Fuquan ZHANG
Author Information
1. 中国医学科学院 北京协和医学院 北京协和医院放射治疗科，北京 100730
- Keywords:
Pelvic neoplasms;
Adaptive radiotherapy;
Cone-beam computed tomography
- From:
Chinese Journal of Radiation Oncology
2023;32(6):526-532
- CountryChina
- Language:Chinese
-
Abstract:
Objective: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.
