Suppr超能文献

表面面积效应:SRS 中中剂量外扩与 PTV 表面面积的关系。

The surface area effect: How the intermediate dose spill depends on the PTV surface area in SRS.

机构信息

Radiation Oncology, CHI Memorial Hospital, Chattanooga, TN, USA.

Department of Radiation Medicine, University of Kentucky Chandler Medical Center, Lexington, KY, USA.

出版信息

J Appl Clin Med Phys. 2021 Mar;22(3):186-195. doi: 10.1002/acm2.13203. Epub 2021 Feb 17.

Abstract

PURPOSE

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

目的

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。

方法

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。

结果

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。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e52/7984485/5acc39092973/ACM2-22-186-g005.jpg

相似文献

1
The surface area effect: How the intermediate dose spill depends on the PTV surface area in SRS.
J Appl Clin Med Phys. 2021 Mar;22(3):186-195. doi: 10.1002/acm2.13203. Epub 2021 Feb 17.
2
A physically meaningful relationship between R50% and PTV surface area in lung SBRT.
J Appl Clin Med Phys. 2020 Sep;21(9):47-56. doi: 10.1002/acm2.12964. Epub 2020 Jul 28.
3
An analytical expression for R50% dependent on PTV surface area and volume: A cranial SRS comparison.
J Appl Clin Med Phys. 2021 Feb;22(2):203-210. doi: 10.1002/acm2.13168. Epub 2021 Jan 25.
4
A measure of SRS/SRT plan quality: Quantitative limits for intermediate dose spill (R50%) in linac-based delivery.
J Appl Clin Med Phys. 2022 May;23(5):e13570. doi: 10.1002/acm2.13570. Epub 2022 Mar 2.
5
An analytical expression for R50% dependent on PTV surface area and volume: a lung SBRT comparison.
J Appl Clin Med Phys. 2020 Nov;21(11):278-282. doi: 10.1002/acm2.13026. Epub 2020 Sep 30.
7
Analysis of R50% location dependence on LINAC-based VMAT cranial stereotactic treatments.
Med Dosim. 2022;47(1):79-86. doi: 10.1016/j.meddos.2021.09.006. Epub 2021 Nov 2.
8
Efficient optimization of R50% when planning multiple cranial metastases simultaneously in single isocenter SRS/SRT.
J Appl Clin Med Phys. 2021 Jun;22(6):71-82. doi: 10.1002/acm2.13254. Epub 2021 May 7.
10
AFI manual planning versus HyperArc auto-planning: A head-to-head comparison of SRS plan quality.
J Appl Clin Med Phys. 2024 Nov;25(11):e14503. doi: 10.1002/acm2.14503. Epub 2024 Sep 5.

引用本文的文献

1
Exploring feasibility criteria for stereotactic radiosurgical treatment of multiple brain metastases using five linac machines.
J Appl Clin Med Phys. 2024 Sep;25(9):e14413. doi: 10.1002/acm2.14413. Epub 2024 Jun 24.
2
How to estimate R50% for cranial SRS/SRT cases with overlapping 50% isodose volumes: A proposed system.
J Appl Clin Med Phys. 2022 Jul;23(7):e13624. doi: 10.1002/acm2.13624. Epub 2022 May 2.

本文引用的文献

1
An analytical expression for R50% dependent on PTV surface area and volume: a lung SBRT comparison.
J Appl Clin Med Phys. 2020 Nov;21(11):278-282. doi: 10.1002/acm2.13026. Epub 2020 Sep 30.
2
A physically meaningful relationship between R50% and PTV surface area in lung SBRT.
J Appl Clin Med Phys. 2020 Sep;21(9):47-56. doi: 10.1002/acm2.12964. Epub 2020 Jul 28.
3
A simple knowledge-based tool for stereotactic radiosurgery pre-planning.
J Appl Clin Med Phys. 2019 Dec;20(12):97-108. doi: 10.1002/acm2.12770. Epub 2019 Nov 19.
5
Institutional experience with SRS VMAT planning for multiple cranial metastases.
J Appl Clin Med Phys. 2018 Mar;19(2):176-183. doi: 10.1002/acm2.12284. Epub 2018 Feb 23.
7
Evaluating which plan quality metrics are appropriate for use in lung SBRT.
Br J Radiol. 2018 Feb;91(1083):20170393. doi: 10.1259/bjr.20170393. Epub 2018 Jan 10.
10
Plan quality and treatment planning technique for single isocenter cranial radiosurgery with volumetric modulated arc therapy.
Pract Radiat Oncol. 2012 Oct-Dec;2(4):306-313. doi: 10.1016/j.prro.2011.12.003. Epub 2012 Jan 30.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验