Vanderbilt University Medical Center, Nashville, Tennessee.
University of Texas, MD Anderson Cancer Center, Houston, Texas.
Pract Radiat Oncol. 2019 Jul-Aug;9(4):200-207. doi: 10.1016/j.prro.2018.12.002. Epub 2018 Dec 15.
With external beam radiation therapy, uncertainties in treatment planning and delivery can result in an undesirable dose distribution delivered to the patient that can compromise the benefit of treatment. Techniques including geometric margins and probabilistic optimization have been used effectively to mitigate the effects of uncertainties. However, their broad application is inconsistent and can compromise the conclusions derived from cross-technique and cross-modality comparisons.
Conventional methods to deal with treatment planning and delivery uncertainties are described, and robustness analysis is presented as a framework that is applicable across treatment techniques and modalities.
This report identifies elements that are imperative to include when conducting a robustness analysis and describing uncertainties and their dosimetric effects.
The robustness analysis approach described here is presented to promote reliable plan evaluation and dose reporting, particularly during clinical trials conducted across institutions and treatment modalities.
在采用外部束放射治疗时,治疗计划和实施中的不确定性可能导致患者接受不理想的剂量分布,从而影响治疗效果。已采用包括几何边界和概率优化等技术来有效减轻不确定性的影响。但是,这些技术的广泛应用并不一致,并且可能影响跨技术和跨模式比较得出的结论。
描述了处理治疗计划和实施不确定性的常规方法,并提出稳健性分析作为适用于各种治疗技术和模式的框架。
本报告确定了进行稳健性分析和描述不确定性及其剂量学效应时必须包含的要素。
此处介绍的稳健性分析方法旨在促进可靠的计划评估和剂量报告,特别是在跨机构和治疗模式进行临床试验期间。