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Variability of a peripheral dose among various linac geometries for second cancer risk assessment.

机译:用于第二次癌症风险评估的各种直线加速器几何形状之间外围剂量的可变性。

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摘要

Second cancer risk assessment for radiotherapy is controversial due to the large uncertainties of the dose-response relationship. This could be improved by a better assessment of the peripheral doses to healthy organs in future epidemiological studies. In this framework, we developed a simple Monte Carlo (MC) model of the Siemens Primus 6 MV linac for both open and wedged fields that we then validated with dose profiles measured in a water tank up to 30 cm from the central axis. The differences between the measured and calculated doses were comparable to other more complex MC models and never exceeded 50%. We then compared our simple MC model with the peripheral dose profiles of five different linacs with different collimation systems. We found that the peripheral dose between two linacs could differ up to a factor of 9 for small fields (5 x 5 cm2) and up to a factor of 10 for wedged fields. Considering that an uncertainty of 50% in dose estimation could be acceptable in the context of risk assessment, the MC model can be used as a generic model for large open fields (>/=10 x 10 cm2) only. The uncertainties in peripheral doses should be considered in future epidemiological studies when designing the width of the dose bins to stratify the risk as a function of the dose.
机译:由于剂量反应关系存在很大的不确定性,因此第二次放疗癌症风险评估存在争议。在未来的流行病学研究中,可以通过对健康器官的外围剂量进行更好的评估来改善这一点。在此框架中,我们针对空旷和楔形场开发了一个简单的西门子Primus 6 MV直线加速器的蒙特卡洛(MC)模型,然后通过在距中心轴30 cm的水箱中测量的剂量分布进行了验证。测量剂量与计算剂量之间的差异与其他更复杂的MC模型相当,并且从未超过50%。然后,我们将简单的MC模型与五个具有不同准直系统的直线加速器的外围剂量曲线进行了比较。我们发现,两个直线加速器之间的周边剂量对于小场(5 x 5 cm2)可能相差高达9倍,对于楔形场,相差高达10倍。考虑到在风险评估的情况下剂量估计的50%的不确定性是可以接受的,因此MC模型只能用作大空旷区域(> / = 10 x 10 cm2)的通用模型。当设计剂量箱的宽度以将风险作为剂量的函数进行分层时,应在以后的流行病学研究中考虑外围剂量的不确定性。

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