A treatment planning optimization method based on mixed integer linear programming for γ-ray stereotactic radiotherapy

Objective To develop a mixed integer linear programming model for improving the dose distribution and reducing the planning and delivery time during γ-ray stereotactic radiotherapy by optimizing the shot number and weight. Methods The optimization module is implemented by C++ programming. Integrated into rotating gamma system-treatment planning system and tested using clinical cases from patient database by target coverage percent (TCP) and perscription isodose to tumor volume ratio (PITV). Results The treatment plan produced by optimization module reduced the shot number and provided an improved TCP and an acceptable PITV compared to the manual plans. An optimized treatment plan can typically be produced in 2 min or less. Conclusion The optimization module improves manual plans while reducing the time of treatment planning and delivery.