The quality of a radiation treatment plan strongly depends on the ability to deal with setup uncertainties and density interpretation errors, as well as from changes in patient anatomy. In cases of heterogeneous density, and especially in particle planning, conventional PTV planning often fail to provide the intended robustness against uncertainties. The emerging way to deal with these uncertainties is to include them in the optimization itself, also known as robust optimization. Regardless of how the plan is created, it is essential to evaluate the robustness of the plan prior to delivery. For this purpose, RayStation provides tools for comprehensive robustness evaluation over multiple error scenarios.
Robustness in Treatment Planning
Robust Optimization White Paper
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