1. Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers
- Author
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Yong Bae Kim, Jin Sung Kim, Jee Suk Chang, and Nalee Kim
- Subjects
Organs at Risk ,lcsh:Medical physics. Medical radiology. Nuclear medicine ,medicine.medical_specialty ,Intensity-modulated radiation therapy ,medicine.medical_treatment ,lcsh:R895-920 ,Planning target volume ,Postoperative radiotherapy ,Auto segmentation ,Uterine Cervical Neoplasms ,Computer-assisted radiotherapy planning ,lcsh:RC254-282 ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Atlas (anatomy) ,Image Interpretation, Computer-Assisted ,Imrt planning ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,In patient ,Gynecologic cancer ,Contouring ,Radiotherapy ,business.industry ,Radiotherapy Planning, Computer-Assisted ,Research ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Endometrial Neoplasms ,Radiation therapy ,medicine.anatomical_structure ,Oncology ,030220 oncology & carcinogenesis ,Female ,Radiotherapy, Intensity-Modulated ,Radiology ,Tomography, X-Ray Computed ,business ,Algorithms - Abstract
Background Since intensity-modulated radiation therapy (IMRT) has become popular for the treatment of gynecologic cancers, the contouring process has become more critical. This study evaluated the feasibility of atlas-based auto-segmentation (ABAS) for contouring in patients with endometrial and cervical cancers. Methods A total of 75 sets of planning CT images from 75 patients were collected. Contours for the pelvic nodal clinical target volume (CTV), femur, and bladder were carefully generated by two skilled radiation oncologists. Of 75 patients, 60 were randomly registered in three different atlas libraries for ABAS in groups of 20, 40, or 60. ABAS was conducted in 15 patients, followed by manual correction (ABASc). The time required to generate all contours was recorded, and the accuracy of segmentation was assessed using Dice’s coefficient (DC) and the Hausdorff distance (HD) and compared to those of manually delineated contours. Results For ABAS-CTV, the best results were achieved with groups of 60 patients (DC, 0.79; HD, 19.7 mm) and the worst results with groups of 20 patients (DC, 0.75; p = 0.012; HD, 21.3 mm; p = 0.002). ABASc-CTV performed better than ABAS-CTV in terms of both HD and DC (ABASc [n = 60]; DC, 0.84; HD, 15.6 mm; all p c required 191.1 s; both methods required less time than the manual methods (p 0.9 and HD ≤10.0 mm), with significant time reduction compared to that needed for manual delineation (p 40 mm). Furthermore, ABASc-Bladder required a longer processing time than manual contouring to achieve the same accuracy. Conclusions ABAS could help physicians to delineate the CTV and organs-at-risk (e.g., femurs) in IMRT planning considering its consistency, efficacy, and accuracy.
- Published
- 2020
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