调强放疗中剂量引导的自适应处方剂量优化方法

目的:根据处方剂量与实际剂量的差距自动优化目标函数中体元的处方剂量，达到优化治疗计划质量的目的。方法:根据常规的处方剂量设置方法和基于体元的自适应处方剂量优化方法，选取病例进行计划设计和优化，并对比两种计划的剂量-体积直方图和相关剂量学参数。结果:相对于常规计划，自适应计划中靶区的最大剂量降低，热点减少，剂量分布更加均匀，并且危及器官受到的剂量减小，经过优化的计划所有参数均满足剂量目标。结论:自适应处方剂量优化方法能够优化放疗计划，可以被集成到计划系统中用于临床。

Dose-guided adaptive prescribed dose optimization method in intensity-modulated radiotherapy

Abstract: Objective The prescribed dose of each voxel in objective function is automatically optimized according to the difference between prescribed dose and the actual dose, thereby realizing the optimization of treatment plan quality. Methods The proposed adaptive prescribed dose optimization algorithm and the conventional prescribed dose setting method were used for treatment planning and optimization. The dose-volume histogram and the related dosimetric parameters between 2 kinds of plans were compared. Results Compared with conventional plan, adaptive plan had a lower maximum dose to the target area, and less number of hot spots and a more uniform dose distribution. In addition, the dose to organs-at-risk was decreased in adaptive plan. After plan optimization, all dosimetric parameters meet the dose goals. Conclusion Adaptive prescribed dose optimization method is able to optimize the treatment plans, and it can be integrated into the treatment planning system used for clinic.