A constant difficulty encountered in radiation therapy treatment planning is the patient-specific trade-off between ensuring appropriate tumor coverage and avoiding excessive radiation to healthy structures. Such trade-offs are conventionally resolved by manually altering an optimization problem formulation and re-optimizing the treatment plan multiple times. Trial and error of this form is time consuming and even if a treatment plan deemed satisfactory is found, it is not clear if better treatment options exist for the current patient. With multi-criteria optimization in RayStation you can simplify your planning process while improving the quality of your plans.
"The typical trade-off in radiation treatment planning is target coverage versus critical structure sparing. Traditional treatment planning proceeds by a trial and error fashion, where the planner tries to guess at system optimization parameters that might strike the best balance amongst the multiple conflicting goals. But this process can be quite time consuming. Multi-Criteria Optimization simplifies this by presenting the planner with a set of sliders which allow them to surf across the trade-off space and quickly decide on the right balance."
Assistant Professor at the Department of Radiation Oncology, Massachusetts General Hospital in Boston.
"Planning is one of the most important things in radiation oncology, because you want to treat the tumor right, and you don’t want to give a high dose to the normal tissue. Multi-Criteria Optimization in RayStation allows us to balance the clinical trade-offs in real time to reach a more personalized treatment plan for the patient."
Radiation oncologist, Radiotherapiegroep, Deventer, The Netherlands.