Feasibility of RT-Mind auto-segmentation technique in radiotherapy for nasopharyngeal carcinoma(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2022年第6期
- Page:
- 661-665
- Research Field:
- 医学放射物理
- Publishing date:
Info
- Title:
- Feasibility of RT-Mind auto-segmentation technique in radiotherapy for nasopharyngeal carcinoma
- Author(s):
- XUE Tao1; WU Di1; 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:
- nasopharyngeal carcinoma RT-Mind auto-segmentation clinical target volume organ-at-risk
- PACS:
- R739.6；R811.1
- DOI:
- DOI:10.3969/j.issn.1005-202X.2022.06.001
- Abstract:
- Abstract: Objective To explore the feasibility of RT-Mind software in the automatic segmentations of clinical target volume (CTV) and organs-at-risk (OAR) for radiotherapy for nasopharyngeal carcinoma, so as to provide a basis for its clinical application. Methods Twenty-eight cases of nasopharyngeal carcinoma patients treated with radiotherapy were enrolled retrospectively. Taking manual segementations of CTV and OAR (brain stem, spinal cord, lens, optic chiasm, optic nerves, parotid glands, temporal lobes, temporomandibular joints, and mandible) by radiotherapists as reference standards, RT-Mind software was used to carry out the auto-segmentations of CTV and OAR. The Dice similarity coefficient (DSC), Jaccard index (JAC), sensitivity index (SI), inclusiveness index (Incl), deviation of centroid (DC), and Hausdorff distance (HD) between manual and automatic segmentations of CTV and OAR were calculated for evaluating the performance of automatic segmentation. Results The DSC, JAC, SI, Incl, DC, and HD of CTV were 0.78±0.04, 0.70±0.05, 0.85±0.08, 0.87±0.04, (7.76±5.03) mm, and (12.3±1.16) mm, respectively. The DC and HD of OAR were all less than 1 cm. Conclusion RT-Mind software can basically meet the clinical requirements, and can more accurately realize the automatic segementations of OAR and CTV in patients with nasopharyngeal carcinoma. Due to individual differences in the patients medical history, radiotherapy physicians need to make certain modifications to the auto-segmentation results of OAR and CTV according to clinical needs. If the personalized customization of auto-segmentation can be further improved according to clinical requirements, RT-Mind software can assist doctors in improving their work efficiency in the radiotherapy of nasopharyngeal carcinoma with complex anatomical structures, and serving patients better.
Last Update: 2022-06-27