Multi-institutional evaluation of a Pareto navigation guided automated radiotherapy planning solution for prostate cancer.

ABSTRACT:

Background

Current automated planning solutions are calibrated using trial and error or machine learning on historical datasets. Neither method allows for the intuitive exploration of differing trade-off options during calibration, which may aid in ensuring automated solutions align with clinical preference. Pareto navigation provides this functionality and offers a potential calibration alternative. The purpose of this study was to validate an automated radiotherapy planning solution with a novel multi-dimensional Pareto navigation calibration interface across two external institutions for prostate cancer.

Methods

The implemented 'Pareto Guided Automated Planning' (PGAP) methodology was developed in RayStation using scripting and consisted of a Pareto navigation calibration

SUBMITTER: Wheeler PA 

PROVIDER: S-EPMC11003074 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature