Development of an automatic optimization program for the weight of multi-field irradiation in BNCT based on a genetic algorithm

Abstract

ABSTRACT Boron Neutron Capture Therapy (BNCT) is a promising radiotherapy technique for cancer treatment. Optimizing dose distribution in tumors is a significant challenge for BNCT, especially for tumors that are deep-seated. The method of optimizing dose distribution through multi-field irradiation holds great potential for clinical applications in BNCT. This study presents an optimization program that couples genetic algorithm and Monte Carlo simulation, which can automatically optimize irradiation field weights for multi-field irradiation, ensuring optimal dose distribution for cancer patients. Using this program, a glioblastoma case was used to analyze the optimization results for different numbers of irradiation fields. The results demonstrate that the program possesses an efficient and accurate automatic optimization feature for multi-field irradiation weights. The minimum dose, mean dose, and D80% of tumor dose improve with the increase in irradiation fields, while the homogeneity index (HI) of tumor dose decreases, without exceeding dose constraints for organs at risk. The developed optimization program provides a method for determining irradiation field weights in BNCT treatment planning systems, which has the potential to improve treatment outcomes.