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Robust Radiobiological Optimization for Proton Therapy Treatment Planning

机译:质子疗法治疗计划的鲁棒放射生物学优化

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In therapeutic proton beam therapy the choice of RBE values for different tissues remains a contentious issue. We propose a worst case optimization method based on the phe-nomenological model for the RBE presented by Wilkens and Oelfke (2004). The intention of this approach is to achieve robustness in the plan towards uncertainties in the parameters of the biological effect model. Considering these uncertainties we construct a biological worst case scenario in which the lowest effect in the target is assumed to occur simultaneously with the highest effect in the non-target tissues. Optimizing a weighted combination of the nominal and worst case effect allows one to account for the uncertainties in the biological data and helps to attenuate the impact of the differences in the biological setup. The proposed optimization minimizes variations in the target volume effective dose in the presence of an uncertain RBE value.
机译:在治疗性质子束治疗中,对于不同组织的RBE值的选择仍然是一个有争议的问题。我们提出了一种基于现象学模型的最坏情况优化方法,该方法由Wilkens和Oelfke(2004)提出。这种方法的目的是在计划中实现对生物效应模型参数不确定性的鲁棒性。考虑到这些不确定性,我们构建了生物学上最坏的情况,其中假定目标中的最低效果与非目标组织中的最高效果同时发生。优化名义和最坏情况影响的加权组合,可以解决生物学数据中的不确定性,并有助于减轻生物学设置差异的影响。所提出的优化方案在存在不确定的RBE值的情况下最小化了目标体积有效剂量的变化。

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