Feasibility study of automatic segmentation of organs-at-risk and clinical target area for preoperative radiotherapy for rectal cancer(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第7期
- Page:
- 799-804
- Research Field:
- 医学放射物理
- Publishing date:
Info
- Title:
- Feasibility study of automatic segmentation of organs-at-risk and clinical target area for preoperative radiotherapy for rectal cancer
- Author(s):
- XUE Tao1; WU Di1; LIU Shuangtong1; LU Xiaoyan2; ZHANG Heng2; QIN Haoren3; LI Haipeng3; SUN Wanjun2; WANG Hui1
- 1. Department of Radiotherapy, Tianjin Peoples Hospital, Tianjin 300121, China 2. Department of Oncology, Tianjin Peoples Hospital, Tianjin 300121, China 3. School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
- Keywords:
- Keywords: AccuContour automatic segmentation clinical target volume organ-at-risk rectal cancer
- PACS:
- R811.1
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.07.002
- Abstract:
- Abstract: Objective To explore the accuracy of AccuContour software and customized automatic segmentation model in automatically outlining the geometric contours of clinical target volume (CTV) and organs-at-risk (OAR) for the preoperative volumetric modulated arc therapy (VMAT) for rectal cancer, thereby providing a basis for clinical applications. Methods A total of 133 patients who have received preoperative VMAT for rectal cancer were enrolled retrospectively. Sixty-five cases of them were randomly selected for training set, 16 cases for validation set, and 52 cases for test set. The automatic segmentation model was established and trained, and then imported into AccuContour software for the automatic segmentations of CTV and 4 OAR. The automatic and manual segmentation results of CTV and OAR were compared in term of volume difference ([ΔV]), Dice similarity coefficient (DSC), Jaccard coefficient (JAC), sensitivity index (SI), inclusion coefficient (Incl), centroid deviation (DC) and Hausdorff distance (HD). Moreover, the differences of dosimetric parameters between automatically and manually delineated CTV and OAR in the same VMAT plan were compared, so as to evaluate the performance of automatic segmentation. Results The DSC, JAC, SI, and Incl of CTV were 0.84±0.06, 0.72±0.08, 0.81±0.07, 0.87±0.08, respectively, and the [ΔV], DC, and HD were 10.93% (4.56%, 15.37%), 5.03 (3.27, 8.77) mm, 15.03 (15.00, 24.70) mm, respectively. According to DSC, SI, Incl, JAC, [ΔV], DC, and HD, the OAR segmentation performance from superior to inferior were as followed: right femoral head, left femoral head, bladder, small intestine. There were no statistical differences between automatic and manual segmentations in the dosimetric parameters (P>0.05) except bladder V30, small intestine Dmean, and CTV D95 (P<0.05). Conclusion In preoperative VMAT for rectal cancer, the automatic segmentation system used in the study has a high accuracy for the automatic segmentation of CTV and OAR, which saves a lot of time for clinicians and improves work efficiency.
Last Update: 2022-07-15