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一种用于立体定向放射外科术前规划的简单基于知识的工具。

A simple knowledge-based tool for stereotactic radiosurgery pre-planning.

机构信息

Department of Radiation Oncology, University of Arizona, Tucson, AZ, USA.

出版信息

J Appl Clin Med Phys. 2019 Dec;20(12):97-108. doi: 10.1002/acm2.12770. Epub 2019 Nov 19.

DOI:10.1002/acm2.12770
PMID:31743563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6909177/
Abstract

We studied the dosimetry of single-isocenter treatment plans generated to treat a solitary intracranial lesion using linac-based stereotactic radiosurgery (SRS). A common metric for evaluating SRS plan quality is the volume of normal brain tissue irradiated by a dose of at least 12 Gy (V12), which is important because multiple studies have shown a strong correlation between V12 and incidence of radiation necrosis. Unrealistic expectations for values of V12 can lead to wasted planning time. We present a model that estimates V12 without having to construct a full treatment plan. This model was derived by retrospectively analyzing 50 SRS treatment plans, each clinically approved for delivery using circular collimator cone arc therapy (CAT). Each case was re-planned for delivery via dynamic conformal arc therapy (DCAT), and then scaling arguments were used to extend dosimetric data to account for different prescription dose (PD) values (15, 18, 21, or 24 Gy). We determined a phenomenological expression for the total volume receiving at least 12 Gy (TV12) as a function of both planning target volume (PTV) and PD: , where are fit parameters, and a separate set of values is determined for each plan type. In addition, we generated a sequence of plots to clarify how the relationship between conformity index (CI) and TV12 depends on plan type (CAT vs DCAT), PTV, and PD. These results can be used to suggest realistic plan parameters and planning goals before the start of treatment planning. In the absence of access to more sophisticated pre-planning tools, this model can be locally generated and implemented at relatively low cost with respect to time, money, and expertise.

摘要

我们研究了使用基于直线加速器的立体定向放射外科(SRS)治疗单一颅内病变的单中心治疗计划的剂量学。评估 SRS 计划质量的常用指标是至少 12Gy 剂量照射的正常脑组织体积(V12),这一点很重要,因为多项研究表明 V12 与放射性坏死的发生率之间存在很强的相关性。对 V12 值的不切实际的期望可能导致规划时间的浪费。我们提出了一种无需构建完整治疗计划即可估算 V12 的模型。该模型是通过回顾性分析 50 例 SRS 治疗计划得出的,这些计划均经临床批准使用圆形准直器圆锥弧治疗(CAT)进行治疗。对每个病例进行了通过动态适形弧治疗(DCAT)的重新规划,然后使用缩放参数将剂量学数据扩展到不同的处方剂量(PD)值(15、18、21 或 24Gy)。我们确定了作为 PTV 和 PD 的函数的总剂量至少为 12Gy 的总体积(TV12)的经验表达式: ,其中 是拟合参数,并且为每种计划类型确定了单独的一组值。此外,我们生成了一系列图来说明适形指数(CI)与 TV12 之间的关系如何取决于计划类型(CAT 与 DCAT)、PTV 和 PD。这些结果可用于在开始治疗计划之前建议实际的计划参数和计划目标。在无法获得更复杂的预规划工具的情况下,可以在时间、金钱和专业知识方面以相对较低的成本生成和实施此模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/1a32cdb24497/ACM2-20-97-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/ddb6d367305a/ACM2-20-97-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/f9388d0eab51/ACM2-20-97-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/3784f0199159/ACM2-20-97-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/04e0c2b92f87/ACM2-20-97-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/f186b8ca1d61/ACM2-20-97-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/1a32cdb24497/ACM2-20-97-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/ddb6d367305a/ACM2-20-97-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/f9388d0eab51/ACM2-20-97-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/3784f0199159/ACM2-20-97-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/04e0c2b92f87/ACM2-20-97-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/f186b8ca1d61/ACM2-20-97-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15b6/6909177/1a32cdb24497/ACM2-20-97-g006.jpg

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表面面积效应:SRS 中中剂量外扩与 PTV 表面面积的关系。
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