Building a precise machine-specific time structure of the spot and energy delivery model for a cyclotron-based proton therapy system
Building a precise machine-specific time structure of the spot and energy delivery model for a cyclotron-based proton therapy system
复制标题
DOI：
10.1088/1361-6560/ac431c
复制
发表时间：
2021-12
影响因子：
3.5
通讯作者：
Lewei Zhao;Gang Liu;Weili Zheng;Jiajian Shen;Andrew Lee;D. Yan;R. Deraniyagala;C. Stevens;Xiaoqiang Li;Shikui Tang;Xuanfeng Ding
中科院分区：
文献类型：
--
作者：
Lewei Zhao;Gang Liu;Weili Zheng;Jiajian Shen;Andrew Lee;D. Yan;R. Deraniyagala;C. Stevens;Xiaoqiang Li;Shikui Tang;Xuanfeng Ding
目标。我们提出了一种实验方法来建立一个精确的机器特定光束传输时间（BDT）预测和传输序列模型，用于基于回旋加速器系统的标准，体积和层重涂传输。的方法。利用试验场和临床治疗计划的日志文件，实验得出影响BDT的三个主要光束输送参数：能量层切换时间（ELST）、点切换时间和点钻时间。这个衍生的特定于机器的模型包括标准的、体积的和层重绘交付序列。共采用103个临床治疗领域对模型进行验证。主要的结果。研究发现，在这种特定的机器中，ELST不是随机的。实际上是数据传输时间或能量选择时间，两者取较长者。验证结果表明，机器日志文件和模型预测的BDT各分量的精度匹配良好。与实际治疗日志文件相比，平均总BDT相差约（−0.74±3.33）%，比目前商业质子治疗系统的预测值（67.22%±26.19%）有所改善。的意义。为基于回旋加速器的质子治疗系统IBA ProteusPLUS®建立了精确的BDT预测和传递序列模型。大多数机构都可以采用这种方法为自己的质子系统建立特定于机器的模型。
Objective. We proposed an experimental approach to build a precise machine-specific beam delivery time (BDT) prediction and delivery sequence model for standard, volumetric, and layer repainting delivery based on a cyclotron accelerator system. Approach. Test fields and clinical treatment plans’ log files were used to experimentally derive three main beam delivery parameters that impacted BDT: energy layer switching time (ELST), spot switching time, and spot drill time. This derived machine-specific model includes standard, volumetric, and layer repainting delivery sequences. A total of 103 clinical treatment fields were used to validate the model. Main results. The study found that ELST is not stochastic in this specific machine. Instead, it is actually the data transmission time or energy selection time, whichever takes longer. The validation showed that the accuracy of each component of the BDT matches well between machine log files and the model’s prediction. The average total BDT was about (−0.74 ± 3.33)% difference compared to the actual treatment log files, which is improved from the current commercial proton therapy system’s prediction (67.22%±26.19%). Significance. An accurate BDT prediction and delivery sequence model was established for an cyclotron-based proton therapy system IBA ProteusPLUS®. Most institutions could adopt this method to build a machine-specific model for their own proton system.