The determination of optimal treatment plans for Volumetric Modulated Arc Therapy (VMAT)
|Title||The determination of optimal treatment plans for Volumetric Modulated Arc Therapy (VMAT)|
|Publication Type||Journal Article|
|Year of Publication||2019|
|Authors||Dursun, P., Z. C. Taşkın, and K. I. Altinel|
|Journal||European Journal of Operational Research|
|Keywords||algorithms, Benders decomposition, integer programming, Radiation therapy, VMAT|
The success of radiation therapy depends on the ability to deliver the proper amount of radiation to cancerous cells while protecting healthy tissues. As a natural consequence, any new treatment technology improves quality standards concerning primarily this issue. Similar to the widely used Intensity Modulated Radiation Therapy (IMRT), the radiation resource is outside of the patient’s body and the beam is shaped by a multi-leaf collimator mounted on the linear accelerator’s head during the state-of-the-art Volumetric Modulated Arc Therapy (VMAT) as well. However, unlike IMRT, the gantry of the accelerator may rotate along one or more arcs and deliver radiation continuously. This property makes VMAT powerful in obtaining high conformal plans in terms of dose distribution; but the apertures are interdependent and optimal treatment planning problem cannot be decomposed into simpler independent subproblems as a consequence. In this work, we consider optimal treatment planning problem for VMAT. First, we formulate a mixed-integer linear program minimizing total radiation dose intensity subject to clinical requirements embedded within the constraints. Then, we develop efficient solution procedures combining Benders decomposition with certain acceleration strategies. We investigate their performance on a large set of test instances obtained from an anonymous real prostate cancer data.