轨迹日志文件灵敏度的测定。基于python脚本的方法

Stanislav Bozhikov, Karina Mitarova, Filippa Vassileva, Bilyana Tacheva, B. Paarvanova, M. Karabaliev
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引用次数: 3

摘要

该研究的目的是调查和比较从直线加速器(Linac)的轨迹日志(TL)文件中获得的γ指数(γ)结果与通过门脉剂量测定(PD)测量获得的γ结果。采用处理计划系统Eclipse改变剂量学叶间隙(dose - metric Leaf Gap, DLG),研究其对γ的影响。在本文中,我们使用python脚本API Pylinac (v.2.2.6)来分析存储用于放疗的直线加速器性能参数数据的TL文件,在我们的案例中是Varian True Beam STX。从TL得到的伽马通过率(%GP)比PD得到的结果要高。我们发现,当用于TL数据的剂量差判据比用于PD数据的相同判据小8至10倍时,两种方法获得的%GP值具有可比性。这里描述的方法将允许使用python脚本API Pylinac来验证伽马分析结果。这可以使处理过程前的计划验证更加精确和可靠。该研究的目的是调查和比较从直线加速器(Linac)的轨迹日志(TL)文件中获得的γ指数(γ)结果与通过门脉剂量测定(PD)测量获得的γ结果。采用处理计划系统Eclipse改变剂量学叶间隙(dose - metric Leaf Gap, DLG),研究其对γ的影响。在本文中,我们使用python脚本API Pylinac (v.2.2.6)来分析存储用于放疗的直线加速器性能参数数据的TL文件,在我们的案例中是Varian True Beam STX。从TL得到的伽马通过率(%GP)比PD得到的结果要高。我们发现,当用于TL数据的剂量差判据比用于PD数据的相同判据小8至10倍时,两种方法获得的%GP值具有可比性。这里描述的方法将允许使用python脚本API Pylinac来验证伽马分析结果。这样可以使计划在生效前得到验证。
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Determination of the sensitivity of trajectory log files gamma analysis - A method based on python scripts
The aim of the study is to investigate and compare gamma index (γ) results obtained from the Trajectory log (TL) file of linear accelerator (Linac) to γ results obtained by Portal Dosimetry (PD) measurements. The Treatment planning system Eclipse was used to change the Dosimetric Leaf Gap (DLG) in order to study its influence on γ. In this paper, we used the python script API Pylinac (v.2.2.6) to analyze the TL file which stores the performance parameter data of the Linac for radiotherapy, in our case Varian True Beam STX. The results for the gamma passing rate (%GP) obtained from TL tend to be higher from those obtained by PD. We found that the values of %GP obtained by the two methods become comparable when the dose difference criterion used for TL data is 8 to 10 times smaller than the same criterion used with PD data. The methodology described here would allow a verification of the gamma analysis results by using the python script API Pylinac. This could make the verication of the plan before the treatment process more precise and reliable.The aim of the study is to investigate and compare gamma index (γ) results obtained from the Trajectory log (TL) file of linear accelerator (Linac) to γ results obtained by Portal Dosimetry (PD) measurements. The Treatment planning system Eclipse was used to change the Dosimetric Leaf Gap (DLG) in order to study its influence on γ. In this paper, we used the python script API Pylinac (v.2.2.6) to analyze the TL file which stores the performance parameter data of the Linac for radiotherapy, in our case Varian True Beam STX. The results for the gamma passing rate (%GP) obtained from TL tend to be higher from those obtained by PD. We found that the values of %GP obtained by the two methods become comparable when the dose difference criterion used for TL data is 8 to 10 times smaller than the same criterion used with PD data. The methodology described here would allow a verification of the gamma analysis results by using the python script API Pylinac. This could make the verication of the plan before the trea...
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