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Monte Carlo calculations of output factors for clinically shaped electron fields

机译:临床形状电子场输出因子的蒙特卡洛计算

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摘要

We report on the use of the EGS4/BEAM Monte Carlo technique to predict the output factors for clinically relevant, irregularly shaped inserts as they intercept a linear accelerator's electron beams. The output factor for a particular combination—energy, cone, insert, and source‐to‐surface distance (SSD)—is defined in accordance with AAPM TG‐25 as the product of cone correction factor and insert correction factor, evaluated at the depth of maximum dose. Since cone correction factors are easily obtained, we focus our investigation on the insert correction factors (ICFs). An analysis of the inserts used in routine clinical practice resulted in the identification of a set of seven “idealized” shapes characterized by specific parameters. The ICFs for these shapes were calculated using a Monte Carlo method (EGS4/BEAM) and measured for a subset of them using an ion chamber and well‐established measurement methods. Analytical models were developed to predict the Monte Carlo–calculated ICF values for various electron energies, cone sizes, shapes, and SSDs. The goodness‐of‐fit between predicted and Monte Carlo–calculated ICF values was tested using the Kolmogorov–Smirnoff statistical test. Results show that Monte Carlo–calculated ICFs match the measured values within 2.0% for most of the shapes considered, except for few highly elongated fields, where deviations up to 4.0% were recorded. Predicted values based on analytical modeling agree with measured ICF values within 2% to 3% for all configurations. We conclude that the predicted ICF values based on modeling of Monte Carlo–calculated values could be introduced in clinical use.PACS numbers: 87.53.Wz, 87.53.Hv
机译:我们报告了使用EGS4 / BEAM蒙特卡洛技术预测临床相关,形状不规则的插入物的输出因子,因为它们拦截了线性加速器的电子束。根据AAPM TG-25,将特定组合的输出因子(能量,圆锥,插入和源到表面距离(SSD))定义为圆锥校正因子和插入校正因子的乘积,并在深度处进行评估最大剂量。由于圆锥校正因子很容易获得,因此我们将研究重点放在插入校正因子(ICF)上。对常规临床实践中使用的插入物的分析导致鉴定出七个具有特定参数特征的“理想化”形状。使用蒙特卡洛方法(EGS4 / BEAM)计算这些形状的ICF,并使用离子室和完善的测量方法对其一部分进行测量。开发了分析模型来预测蒙特卡洛计算的各种电子能量,锥体尺寸,形状和固态硬盘的ICF值。使用Kolmogorov-Smirnoff统计检验对预测的和蒙特卡洛计算的ICF值之间的拟合优度进行了检验。结果表明,对于大多数考虑的形状,蒙特卡洛计算的ICF与测量值相匹配,在2.0%以内,除了少数高度拉长的场外,其中记录的偏差高达4.0%。对于所有配置,基于分析建模的预测值与测得的ICF值在2%到3%之内。我们得出的结论是,基于蒙特卡洛计算值建模的预测ICF值可以引入临床使用。PACS编号:87.53.Wz,87.53.Hv

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