Clinical edge-case stress testing of two Asia-developed AI auto-contouring systems using prostate radiotherapy planning CT images.
Authors
Affiliations (5)
Affiliations (5)
- Department of Radiology, Fujita Health University Hospital, Aichi, 470-1192, Toyoake, Japan.
- Graduate School of Medical Sciences, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
- Division of Medical Physics, School of Medical Sciences, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan. [email protected].
- Division of Medical Physics, School of Medical Sciences, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
- Department of Radiation Oncology, School of Medicine, Fujita Health University, 1-98, Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
Abstract
To compare the geometric accuracy of two Asia‑developed AI auto‑contouring systems (RatoGuide and OncoStudio) for prostate radiotherapy planning CT, including performance in clinical edge cases. Planning CT data from 45 patients were stratified into four groups (Normal, Spacer, Seed/Spacer, GM/Spacer). Manual contours of prostate, rectum, bladder, seminal vesicles, and femoral heads served as reference. Segmentation accuracy was assessed using DSC and 95% Hausdorff distance; Wilcoxon signed‑rank and Mann-Whitney U tests were applied, with edge‑case analyses treated as exploratory. Median DSC exceeded 0.7 for all structures. RatoGuide performed better for the rectum, whereas OncoStudio performed better for the bladder, seminal vesicles, and femoral heads. Outliers were concentrated in combined implant/spacer groups. Both tools showed generally favorable geometric agreement, with structure‑dependent advantages and edge‑case outliers that warrant workflow‑aware quality assurance and future dosimetric validation.