# Geometric Accuracy Assessment of AI-Based Auto-contouring Using OncoStudio for Prostate Cancer Treatment Planning

**Authors:** Masataka Hoshina, Masumi Kawaguchi, Shinji Sugahara, Masato Takanashi, Masaya Noguchi, Ayaka Oosato, Kouichi Masuda

PMC · DOI: 10.7759/cureus.94067 · Cureus · 2025-10-07

## TL;DR

This study shows that AI-based auto-contouring in OncoStudio produces accurate contours for prostate cancer treatment planning.

## Contribution

The study provides clinical validation of OncoStudio's AI auto-contouring accuracy for prostate cancer treatment.

## Key findings

- Mean Dice similarity coefficients for bladder, rectum, and femoral heads were 0.90, 0.95, and 0.97.
- Mean 95th percentile Hausdorff distances were under 7.3 mm for all structures.
- AI-generated contours are suitable for prostate cancer treatment planning.

## Abstract

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.

## Linked entities

- **Diseases:** prostate cancer (MONDO:0005159)

## Full-text entities

- **Diseases:** Prostate Cancer (MESH:D011471)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

14 references — full list in the complete paper: https://tomesphere.com/paper/PMC12596824/full.md

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Source: https://tomesphere.com/paper/PMC12596824