Knowledge-based planning, multicriteria optimization, and plan scorecards: A winning combination.

ABSTRACT:

Background and purpose

The ESTRO 2023 Physics Workshop hosted the Fully-Automated Radiotherapy Treatment Planning (Auto-RTP) Challenge, where participants were provided with CT images from 16 prostate cancer patients (6 prostate only, 6 prostate + nodes, and 4 prostate bed + nodes) across 3 challenge phases with the goal of automatically generating treatment plans with minimal user intervention. Here, we present our team's winning approach developed to swiftly adapt to both different contouring guidelines and treatment prescriptions than those used in our clinic.

Materials and methods

Our planning pipeline comprises two main components: 1) auto-contouring and 2) auto-planning engines, both internally developed and activated via DICOM operations. The auto-contouring engine em

SUBMITTER: Cardenas CE 

PROVIDER: S-EPMC11663123 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature