| Xu Zhuohua,Yang Hui,Jiang Zhou,Tan Junwen,Wang Zhanyu,Lu Ying.Application of 3D ResSE-Unet-based intelligent delineation of clinical target volume in postoperative radiotherapy for breast cancer[J].Chinese Journal of Radiological Medicine and Protection,2023,43(4):269-275 |
| Application of 3D ResSE-Unet-based intelligent delineation of clinical target volume in postoperative radiotherapy for breast cancer |
| Received:December 12, 2022 |
| DOI：10.3760/cma.j.cn112271-20221212-00486 |
| KeyWords:Breast tumor Clinical target volume (CTV) Intelligent delineation Radiotherapy Similarity coefficient |
| FundProject:广西重点研发计划(桂科AB22035026);2022年中央引导地方科技发展资金项目(2022YRZ0101);广西卫生和计划生育委员会自筹经费科研课题(Z20200887、Z20210401);柳州市科技计划项目(2022SB011) |
| Author Name | Affiliation | E-mail | | Xu Zhuohua | Department of Oncology, Fourth Affiliated Hospital of Guangxi Medical University, Key Laboratory of Intelligent Radiotherapy Transformation of Malignant Tumor of Liuzhou, Liuzhou 545007, China | | | Yang Hui | Department of Oncology, Fourth Affiliated Hospital of Guangxi Medical University, Key Laboratory of Intelligent Radiotherapy Transformation of Malignant Tumor of Liuzhou, Liuzhou 545007, China | | | Jiang Zhou | Department of Oncology, Fourth Affiliated Hospital of Guangxi Medical University, Key Laboratory of Intelligent Radiotherapy Transformation of Malignant Tumor of Liuzhou, Liuzhou 545007, China | | | Tan Junwen | Department of Oncology, Fourth Affiliated Hospital of Guangxi Medical University, Key Laboratory of Intelligent Radiotherapy Transformation of Malignant Tumor of Liuzhou, Liuzhou 545007, China | | | Wang Zhanyu | Department of Oncology, Fourth Affiliated Hospital of Guangxi Medical University, Key Laboratory of Intelligent Radiotherapy Transformation of Malignant Tumor of Liuzhou, Liuzhou 545007, China | | | Lu Ying | Department of Oncology, Fourth Affiliated Hospital of Guangxi Medical University, Key Laboratory of Intelligent Radiotherapy Transformation of Malignant Tumor of Liuzhou, Liuzhou 545007, China | 1786734840@qq.com |
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| Abstract:: |
| Objective To evaluate the effectiveness and feasibility of 3D ResSE-Unet-based intelligent delineation of clinical target volume (CTV) in postoperative adjuvant radiotherapy for breast cancer.Methods A total of 974 cases of breast cancer treated in the Cancer Diagnosis and Treatment Center of the Fourth Affiliated Hospital of Guangxi Medical University from September 2018 to June 2022 were enrolled in this study, including 614 cases receiving total mastectomy and 360 cases treated with breast-conserving surgery. They were divided into a training set, a validation set, and a testing set. The training set consisted of 874 cases and was used to build a model of 3D ResSE-Unet-based intelligent CTV delineation. The validation set comprised 40 cases and was used to evaluate the feasibility and effectiveness of the clinical application of AI-based CTV design in the radiotherapy for breast cancer. The testing set was composed of 60 cases and was used to test the accuracy of intelligent CTV. The Wilcoxon rank test was used to compare the Dice similarity coefficient (DSC), 95% Hausdorff distance (HD95), and average surface distance (ASD) obtained using the intelligent delineation model.Results The intelligent delineation model showed high precision. The CTV of cases treated with total mastectomy (CTVcw) and the CTV of cases treated with breast-conserving surgery (CTVb) had DSCs greater than 0.80 and greater than 0.88, respectively. Therefore, compared with CTVcw, CTVb had a higher DSC (0.91 ±0.03 vs.0.83 ±0.05, t = 7.11, P＜ 0.05). Both CTVcw and CTVb had lower HD 95 [(7.56 ±3.42) mm vs.(8.77 ±5.89) mm] and ASD [(1.85 ±0.71) mm vs.(1.86 ±0.83)mm], without statistically significant difference (P > 0.05). The left/right supraclavicular and infraclavicular CTV (CTV2) had DSCs greater than 0.8. CTV2 also had low average HD95 and ASD, without statistically significant difference (P > 0.05).Conclusions The 3D ResSE-Unet-based intelligent CTV delineation has better consistency and feasibility in postoperative adjuvant radiotherapy for breast cancer, especially the CTVs after breast-conserving surgery. |
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