The quality of a radiation treatment plan strongly depends on the ability to deal with uncertainties originating from setup and density interpretation errors, as well as from changes in patient anatomy. The creation of robust treatment plans and the evaluation of robustness prior to delivery is therefore one of the main challenges in radiation therapy. During the first part of this webinar, Erik Engwall, chief physicist at RaySearch, presents some versatile tools to address this challenge:
- Robust optimization with the inclusion of 4DCT images, and setup and density uncertainties;
- Robustness evaluation over multiple error scenarios.
In the second part, Erik Korevaar, a medical physicist at UMCG, will present how robust optimization is used in a clinical setting and discuss appropriate metrics for robustness evaluation based on previous clinical experience.