Evaluation of a knowledge-based planning solution for head and neck cancer.
Journal:
International journal of radiation oncology, biology, physics
Published Date:
Jan 30, 2015
Abstract
PURPOSE: Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new patients and uses those models for setting optimization objectives. We benchmarked RapidPlan versus clinical plans for 2 patient groups, using 3 different libraries.