Evaluation of a prostate SBRT planning workflow using auto-segmentation and knowledge-based planning.

ABSTRACT:

Purpose

This study investigates a prostate stereotactic body radiotherapy (SBRT) planning workflow integrating commercial artificial intelligence (AI) contouring and knowledge-based planning (KBP). The purpose is to determine whether AI-generated contours are comparable to physician-delineated contours in achieving dosimetric goals.

Methods

In this retrospective study, 20 patients with intact prostate cancer were included. A commercial AI contouring software was applied to computed tomography (CT) scans. Contouring accuracy for the prostate, rectum, and bladder was assessed against clinical contours using geometric metrics including Dice similarity coefficient (DSC), surface DSC (sDSC), and added path length (APL). Volumetric modulated arc therapy plans were generated using

SUBMITTER: Jones T 

PROVIDER: S-EPMC12504046 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature