Cordrey Ivan L, Kucuk Sare, Ramsey Chester, Bowling Joseph, Desai Dharmin D
Thompson Cancer Survival Center, Cumberland Medical Center, Crossville, Tennessee, USA.
Department of Nuclear Engineering Complex, University of Tennessee, Knoxville, Tennessee, USA.
J Appl Clin Med Phys. 2025 Feb;26(2):e14579. doi: 10.1002/acm2.14579. Epub 2024 Nov 29.
Minimizing intermediate dose spill in stereotactic radiosurgery (SRS) for brain treatment is crucial. Intermediate dose spill correlates with the exposure of normal brain tissue to high doses, which increases the risk of radionecrosis. R50%, defined as the volume of the 50% of prescription isodose cloud/planning target volume, is one metric for intermediate dose spill. A predictive model for R50% in linear accelerator VMAT-delivered SRS has been developed Desai et al. (2020) and is called R50%. This study extends the R50% model to Gamma Knife (GK) delivered SRS, resulting in the R50% model.
Phantom calculations were performed on 11 spherical target volumes ranging from 0.001 to 44 cm to develop the R50% model. R50% was tested against clinical data from 18 brain metastasis cases with one to 11 targets treated on GK Icon and planned in GammaPlan with lightning dose optimizer. Thirty-five targets with volumes between 0.011 and 27.4 cm were analyzed by extracting the R50% achieved clinically (R50%) for comparison to the predicted intermediate dose spill from R50%.
The predicted R50% values generally represent a lower bound for the R50% values as the model would predict. The Difference, R50% - R50%, has a median value of 0.92, which quantifies the lower bound nature of R50%. The model reflected the character of intermediate dose spill for the clinical cases. A few outliers were likely due to specific planning complexities.
The R50% model for intermediate dose spill successfully extends the theoretical framework of R50% to GK-delivered SRS. It provides a method to predict the intermediate dose spill for GK Icon treatments. This model can aid in assessing SRS treatment plans by providing a benchmark for the intermediate dose spill for comparison.
在脑部立体定向放射治疗(SRS)中,尽量减少中间剂量泄漏至关重要。中间剂量泄漏与正常脑组织暴露于高剂量有关,这会增加放射性坏死的风险。R50%定义为50%处方等剂量云/计划靶体积的体积,是衡量中间剂量泄漏的一个指标。Desai等人(2020年)开发了一种用于直线加速器容积调强弧形治疗(VMAT)实施的SRS中R50%的预测模型,称为R50%。本研究将R50%模型扩展到伽玛刀(GK)实施的SRS,从而得到R50%模型。
对11个范围从0.001至44 cm的球形靶体积进行模体计算,以建立R50%模型。根据18例脑转移瘤病例的临床数据对R50%进行测试,这些病例在GK Icon上治疗,靶点数为1至11个,并在伽玛计划中使用闪电剂量优化器进行计划。通过提取临床实现的R50%(R50%),分析了35个体积在0.011至27.4 cm之间的靶区,以与R50%预测的中间剂量泄漏进行比较。
预测的R50%值通常代表模型预测的R50%值的下限。差值R50% - R50%的中位数为0.92,这量化了R50%的下限性质。该模型反映了临床病例中中间剂量泄漏的特征。少数异常值可能是由于特定的计划复杂性。
用于中间剂量泄漏的R50%模型成功地将R50%的理论框架扩展到GK实施的SRS。它提供了一种预测GK Icon治疗中间剂量泄漏的方法。该模型可以通过提供中间剂量泄漏的基准进行比较,有助于评估SRS治疗计划。