Radiation Oncology, CHI Memorial Hospital, Chattanooga, TN, USA.
Department of Radiation Medicine, University of Kentucky Chandler Medical Center, Lexington, KY, USA.
J Appl Clin Med Phys. 2021 Mar;22(3):186-195. doi: 10.1002/acm2.13203. Epub 2021 Feb 17.
Stereotactic radiosurgery (SRS) is rapidly becoming the standard of care for many intracranial targets. The characteristics of the planning target volume (PTV) can affect the intermediate dose spill and thus normal brain volume dose which is correlated with brain toxicity. R50% (volume receiving 50% of prescription dose divided by PTV volume) is a useful metric to quantify the intermediate dose spill. We propose a novel understanding of how the PTV surface area (SA ) affects the intermediate dose spill of SRS treatments.
Using a phantom model provided by a computed tomography (CT) of the IROC Head Phantom® and Eclipse® Treatment Planning System, we investigate the relationship of R50% and SA in single-target SRS treatments. The planning studies are conducted for SRS treatments on a Varian TrueBeam® linear accelerator with high-definition MLC and a 6 MVFFF beam mode. These data are analyzed to ascertain trends in R50% related to SA . Since SA is not available as a structure property in the Eclipse RTPS, we introduce an Eclipse script to extract PTV surface area of arbitrary-shaped PTVs. We compare a physically reasonable theoretical prediction of R50%, R50% , to the R50% achieved in treatment planning studies.
The SRS phantom study indicates good correlation between the plan R50% and SA . A near-linear relationship of plan R50% vs SA is observed as predicted by the R50% model. Agreement between plan R50% values and R50% predictions is good for all but the very smallest PTV volumes.
We demonstrate dependence of the intermediate dose spill measured by R50% on the SA . We call that dependence the surface area effect. This dependence is explicit in the R50% prediction model. The predicted value of R50% for a given PTV could be used for guidance during SRS treatment plan optimization, and plan evaluation for that PTV.
立体定向放射外科(SRS)正在迅速成为许多颅内靶区的标准治疗方法。计划靶区(PTV)的特征会影响中间剂量溢出,从而影响与脑毒性相关的正常脑体积剂量。R50%(接受处方剂量 50%的体积除以 PTV 体积)是量化中间剂量溢出的有用指标。我们提出了一种新的理解方式,即 PTV 表面积(SA)如何影响 SRS 治疗的中间剂量溢出。
使用 IROC 头部体模的 CT 和 Eclipse 治疗计划系统提供的体模模型,我们研究了单靶 SRS 治疗中 R50%与 SA 的关系。计划研究是在瓦里安 TrueBeam®直线加速器上进行的,该加速器配备了高清 MLC 和 6MVFFF 射束模式。分析这些数据以确定与 SA 相关的 R50%趋势。由于在 Eclipse RTPS 中没有提供 SA 作为结构属性,我们引入了一个 Eclipse 脚本,以提取任意形状 PTV 的 PTV 表面积。我们将 R50%的理论预测值(R50%)与治疗计划研究中获得的 R50%进行比较。
SRS 体模研究表明,计划 R50%与 SA 之间存在良好的相关性。正如 R50%模型所预测的那样,观察到计划 R50%与 SA 之间存在近乎线性的关系。除了最小的 PTV 体积外,计划 R50%值与 R50%预测值之间的一致性很好。
我们证明了中间剂量溢出,由 R50%测量,取决于 SA。我们将这种依赖性称为表面积效应。这种依赖性在 R50%预测模型中是明确的。对于给定的 PTV,可以使用预测的 R50%值来指导 SRS 治疗计划优化,并对该 PTV 进行计划评估。