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使用一种新颖的剂量 QA 工具来量化常规 QA 方法无法检测到的系统性误差的影响:临床头颈部病例研究。

Using a novel dose QA tool to quantify the impact of systematic errors otherwise undetected by conventional QA methods: clinical head and neck case studies.

机构信息

Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, 136 Mountain View Blvd., Basking Ridge, NJ 07920 USA.

出版信息

Technol Cancer Res Treat. 2014 Feb;13(1):57-67. doi: 10.7785/tcrt.2012.500353. Epub 2013 Jun 24.

Abstract

Recent studies have demonstrated that per-beam planar intensity-modulated radiation therapy (IMRT) quality assurance (QA) passing rates may not predict clinically relevant patient dose errors. This work is to evaluate the effect of dose variations introduced in dynamic multi-leaf collimator (DMLC) modeling and delivery processes on clinically relevant metrics for IMRT. Ten head and neck (HN) IMRT plans were randomly selected for this study. The conventional per-beam IMRT QA was performed for each plan by 2 different methods: (1) with gantry angle of 0 (gantry pointing downward) for all IMRT fields and (2) with gantry at specific angles as designed in the IMRT plan. For each patient, a batch analysis was done for each scenario and then imported to the 3DVH (Sun Nuclear Corp.) for processing. A "corrected DVH" was generated and compared to the DVH from the treatment plan. Their differences represented errors introduced from the combination of the treatment planning system (TPS) dose calculation algorithm and beam-delivery. The dose metrics from the two scenarios were compared with the corresponding calculated doses, and then their differences were analyzed. Although all per-beam planar IMRT QA had high Gamma passing rates 99.3 ± 1.3% (92.3-100%) for "2%/3 mm" criteria, there were significant errors in some of the calculated clinical dose metrics. Such as, for all the plans studied, there were as much as 3.2%, 5.7%, 5.6%, 2.3%, 4.1%, and 23.8% errors found in max cord dose, max brainstem dose, mean parotid dose, larynx dose, oral cavity dose, and PTV(D95) dose, respectively. The differences in errors for clinical metrics obtained between the two scenarios (zero gantry angle vs. true gantry angles) can also be significant: max cord dose (2.9% vs. 0.2%), max brainstem dose (3.8% vs. 0.4%), mean parotid dose (2.3% vs. 4.5%), mean larynx dose (3.9% vs. 2.0%), mean oral cavity dose (1.6% vs. 3.9%), and PTV(D95) dose (-0.4% vs. -2.6%). However, in the two scenarios, a strong and clear correlation between the dose differences for each of the organ structures was observed. This study confirms that conventional IMRT QA performance metrics are not predictive of dose errors in PTV and organs-at-risk. The clinically-relevant-dose QA has allowed us to predict the patient dose-volume relationships.

摘要

最近的研究表明,逐束平面调强放射治疗(IMRT)质量保证(QA)通过率可能无法预测临床相关的患者剂量误差。这项工作旨在评估在动态多叶准直器(DMLC)建模和输送过程中引入的剂量变化对 IMRT 的临床相关指标的影响。本研究随机选择了 10 例头颈部(HN)调强放疗计划。分别用两种方法对每个计划进行常规的逐束 IMRT QA:(1)所有 IMRT 野的机架角度为 0(机架向下指向),(2)按照 IMRT 计划设计的特定机架角度。对于每个患者,对每个方案进行批量分析,然后导入 3DVH(Sun Nuclear 公司)进行处理。生成并比较了“校正 DVH”与治疗计划的 DVH。它们之间的差异代表了治疗计划系统(TPS)剂量计算算法和射束输送的组合引入的误差。比较了两种方案的剂量指标与相应的计算剂量,然后分析了它们之间的差异。尽管所有的逐束平面 IMRT QA 的伽马通过率都很高(99.3±1.3%,92.3-100%),对于“2%/3mm”标准,但在一些计算的临床剂量指标中存在显著误差。例如,在所研究的所有计划中,最大脊髓剂量、最大脑干剂量、平均腮腺剂量、喉剂量、口腔剂量和 PTV(D95)剂量分别有高达 3.2%、5.7%、5.6%、2.3%、4.1%和 23.8%的误差。两种方案(零机架角度与真实机架角度)获得的临床指标误差差异也可能很大:最大脊髓剂量(2.9%对 0.2%)、最大脑干剂量(3.8%对 0.4%)、平均腮腺剂量(2.3%对 4.5%)、平均喉剂量(3.9%对 2.0%)、平均口腔剂量(1.6%对 3.9%)和 PTV(D95)剂量(-0.4%对-2.6%)。然而,在两种方案中,观察到每个器官结构的剂量差异之间存在强烈而清晰的相关性。本研究证实,传统的调强放射治疗 QA 性能指标不能预测 PTV 和危险器官的剂量误差。临床相关剂量 QA 使我们能够预测患者的剂量-体积关系。

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