Geometric Accuracy Assessment of AI-Based Auto-contouring Using OncoStudio for Prostate Cancer Treatment Planning.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
15 patients using OncoStudio (Oncosoft, Seoul, South Korea).
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
The mean 95th percentile Hausdorff distances were 7.3 mm, 7.1 mm, 5.6 mm, and 5.0 mm for the same structures. These results demonstrate that OncoStudio's auto-segmentation provides high-quality contours suitable for prostate cancer treatment planning.
Artificial intelligence (AI)-based auto-contouring techniques in radiation treatment planning require thorough clinical validation.
APA
Hoshina M, Kawaguchi M, et al. (2025). Geometric Accuracy Assessment of AI-Based Auto-contouring Using OncoStudio for Prostate Cancer Treatment Planning.. Cureus, 17(10), e94067. https://doi.org/10.7759/cureus.94067
MLA
Hoshina M, et al.. "Geometric Accuracy Assessment of AI-Based Auto-contouring Using OncoStudio for Prostate Cancer Treatment Planning.." Cureus, vol. 17, no. 10, 2025, pp. e94067.
PMID
41216052 ↗
Abstract 한글 요약
Artificial intelligence (AI)-based auto-contouring techniques in radiation treatment planning require thorough clinical validation. In this study, we evaluated the geometric similarity between AI-generated auto-contours and manually drawn contours in prostate cancer treatment plans for 15 patients using OncoStudio (Oncosoft, Seoul, South Korea). The mean Dice similarity coefficients for the bladder, rectum, and right and left femoral heads were 0.90, 0.95, 0.97, and 0.97, respectively. The mean 95th percentile Hausdorff distances were 7.3 mm, 7.1 mm, 5.6 mm, and 5.0 mm for the same structures. These results demonstrate that OncoStudio's auto-segmentation provides high-quality contours suitable for prostate cancer treatment planning.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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