Characterization of automatic treatment planning approaches in radiotherapy.

ABSTRACT:

Background and purpose

Automatic approaches are widely implemented to automate dose optimization in radiotherapy treatment planning. This study systematically investigates how to configure automatic planning in order to create the best possible plans.

Materials and methods

Automatic plans were generated using protocol based automatic iterative optimization. Starting from a simple automation protocol which consisted of the constraints for targets and organs at risk (OAR), the performance of the automatic approach was evaluated in terms of target coverage, OAR sparing, conformity, beam complexity, and plan quality. More complex protocols were systematically explored to improve the quality of the automatic plans. The protocols could be improved by adding a dose goal on the oute

SUBMITTER: Wortel G 

PROVIDER: S-EPMC8295841 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature