Dosimetric comparison of deformable image registration and synthetic CT generation based on CBCT images for organs at risk in cervical cancer radiotherapy

作者：Yankui Chang, Yongguang Liang, Bo Yang, Jie Qiu, Xi Pei, Xie George Xu · 发表于：Radiation Oncology · 年份：2023 · DOI：10.1186/s13014-022-02191-3 · 被引用次数：17 · 研究领域：Advanced Radiotherapy Techniques、Endometrial and Cervical Cancer Treatments、Head and Neck Cancer Studies

Abstract Objective Anatomical variations existing in cervical cancer radiotherapy treatment can be monitored by cone-beam computed tomography (CBCT) images. Deformable image registration (DIR) from planning CT (pCT) to CBCT images and synthetic CT (sCT) image generation based on CBCT are two methods for improving the quality of CBCT images. This study aims to compare the accuracy of these two approaches geometrically and dosimetrically in cervical cancer radiotherapy. Methods In this study, 40 paired pCT-CBCT images were collected to evaluate the accuracy of DIR and sCT generation. The DIR method was based on a 3D multistage registration network that was trained with 150 paired pCT-CBCT images, and the sCT generation method was performed based on a 2D cycle-consistent adversarial network (CycleGAN) with 6000 paired pCT-CBCT slices for training. Then, the doses were recalculated with the CBCT, pCT, deformed pCT (dpCT) and sCT images by a GPU-based Monte Carlo dose code, ArcherQA, to obtain Dose CBCT , Dose pCT , Dose dpCT and Dose sCT . Organs at risk (OARs) included small intestine, rectum, bladder, spinal cord, femoral heads and bone marrow, CBCT and pCT contours were delineated manually, dpCT contours were propagated through deformation vector fields, sCT contours were auto-segmented and corrected manually. Results The global gamma pass rate of Dose sCT and Dose dpCT was 99.66% ± 0.34%, while that of Dose CBCT and Dose dpCT was 85.92% ± 7.56% at the 1%/1 mm criterion and a ...