Full daily re-optimization improves plan quality during online adaptive radiotherapy.

ABSTRACT:

Background and purpose

Daily online treatment plan adaptation requires a fast workflow and planning process. Current online planning consists of adaptation of a predefined reference plan, which might be suboptimal in cases of large anatomic changes. The aim of this study was to investigate plan quality differences between the current online re-planning approach and a complete re-optimization.

Material and methods

Magnetic resonance linear accelerator reference plans for ten prostate cancer patients were automatically generated using particle swarm optimization (PSO). Adapted plans were created for each fraction using (1) the current re-planning approach and (2) full PSO re-optimization and evaluated overall compliance with institutional dose-volume criteria compared to (3) c

SUBMITTER: Tengler B 

PROVIDER: S-EPMC10827578 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature