Building a precise machine-specific time structure of the spot and energy delivery model for a cyclotron-based proton therapy system.

Lewei Zhao, Beaumont Health
Gang Liu
Weili Zheng, Beaumont Health
Jiajian Shen
Andrew Lee
Di Yan, Beaumont Health
Rohan Deraniyagala, Beaumont Health
Craig Stevens, Beaumont Health
Xiaoqiang Li, Beaumont Health
Shikui Tang
Xuanfeng Ding, Beaumont Health


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 (SSWT), and spot drill time (SDT). 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.