Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Int J Radiat Oncol Biol Phys. 2013 Aug 1;86(5):1007-13. doi: 10.1016/j.ijrobp.2013.04.009. Epub 2013 May 18.
To evaluate a method for quantifying the effect of setup errors and range uncertainties on dose distribution and dose-volume histogram using statistical parameters; and to assess existing planning practice in selected treatment sites under setup and range uncertainties.
Twenty passively scattered proton lung cancer plans, 10 prostate, and 1 brain cancer scanning-beam proton plan(s) were analyzed. To account for the dose under uncertainties, we performed a comprehensive simulation in which the dose was recalculated 600 times per given plan under the influence of random and systematic setup errors and proton range errors. On the basis of simulation results, we determined the probability of dose variations and calculated the expected values and standard deviations of dose-volume histograms. The uncertainties in dose were spatially visualized on the planning CT as a probability map of failure to target coverage or overdose of critical structures.
The expected value of target coverage under the uncertainties was consistently lower than that of the nominal value determined from the clinical target volume coverage without setup error or range uncertainty, with a mean difference of -1.1% (-0.9% for breath-hold), -0.3%, and -2.2% for lung, prostate, and a brain cases, respectively. The organs with most sensitive dose under uncertainties were esophagus and spinal cord for lung, rectum for prostate, and brain stem for brain cancer.
A clinically feasible robustness plan analysis tool based on direct dose calculation and statistical simulation has been developed. Both the expectation value and standard deviation are useful to evaluate the impact of uncertainties. The existing proton beam planning method used in this institution seems to be adequate in terms of target coverage. However, structures that are small in volume or located near the target area showed greater sensitivity to uncertainties.
评估一种使用统计参数量化摆位误差和射程不确定性对剂量分布和剂量-体积直方图影响的方法;并评估在摆位和射程不确定性下,在选定治疗部位现有的计划实践。
分析了 20 例被动散射质子肺癌计划、10 例前列腺和 1 例脑癌扫描束质子计划。为了考虑剂量不确定性,我们进行了全面的模拟,在给定的计划下,剂量在随机和系统摆位误差以及质子射程误差的影响下,每 600 次重新计算一次。根据模拟结果,我们确定了剂量变化的概率,并计算了剂量-体积直方图的期望值和标准差。不确定性的剂量在计划 CT 上以靶区覆盖失败或关键结构过度剂量的概率图的形式进行空间可视化。
在不确定性下,目标覆盖的期望值始终低于无摆位误差或射程不确定性的临床靶区覆盖所确定的名义值,分别为肺、前列腺和脑病例的-1.1%(屏气时为-0.9%)、-0.3%和-2.2%。在不确定性下最敏感的剂量器官是肺的食管和脊髓、前列腺的直肠和脑癌的脑干。
已经开发出一种基于直接剂量计算和统计模拟的临床可行的稳健性计划分析工具。期望值和标准差都可用于评估不确定性的影响。本机构使用的现有的质子束计划方法在靶区覆盖方面似乎是足够的。然而,体积较小或位于靶区附近的结构对不确定性更敏感。