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量化 VMAT 计划复杂性与基于测量的质量保证结果的关系。

Quantified VMAT plan complexity in relation to measurement-based quality assurance results.

机构信息

Department of Medical Physics, Juravinski Cancer Centre, Hamilton, ON, Canada.

出版信息

J Appl Clin Med Phys. 2020 Nov;21(11):132-140. doi: 10.1002/acm2.13048. Epub 2020 Oct 28.

DOI:10.1002/acm2.13048
PMID:33112467
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7700925/
Abstract

Volumetric-modulated arc therapy (VMAT) treatment plans that are highly modulated or complex may result in disagreements between the planned dose distribution and the measured dose distribution. This study investigated established VMAT complexity metrics as a means of predicting phantom-based measurement results for 93 treatments delivered on a TrueBeam linac, and 91 treatments delivered on two TrueBeam STx linacs. Complexity metrics investigated showed weak correlations to gamma passing rate, with the exception of the Modulation Complexity Score for VMAT, yielding moderate correlations. The Spearman's rho values for this metric were 0.502 (P < 0.001) and 0.528 (P < 0.001) for the TrueBeam and TrueBeam STx, respectively. Receiver operating characteristic analysis was also performed. The aperture irregularity on the TrueBeam achieved a 53% true positive rate and a 9% false-positive rate to correctly identify complex plans. Similarly, the average field width on the TrueBeam STx achieved a 60% true-positive rate and an 8% false-positive rate. If incorporated into clinical workflow, these thresholds can identify highly modulated plans and reduce the number of dose verification measurements required.

摘要

容积旋转调强放疗(VMAT)治疗计划若调制程度高或较为复杂,可能导致计划剂量分布与测量剂量分布之间存在差异。本研究旨在通过研究已建立的 VMAT 复杂度指标,预测在 TrueBeam 直线加速器上实施的 93 例治疗和在两台 TrueBeam STx 直线加速器上实施的 91 例治疗中的体模测量结果。研究发现,复杂度指标与伽马通过率之间存在弱相关性,VMAT 调制复杂度评分除外,其与伽马通过率呈中度相关性。对于 TrueBeam 和 TrueBeam STx,该指标的斯皮尔曼 rho 值分别为 0.502(P<0.001)和 0.528(P<0.001)。还进行了受试者工作特征分析。TrueBeam 的孔径不规则性可实现 53%的真阳性率和 9%的假阳性率,从而正确识别复杂计划。类似地,TrueBeam STx 的平均射野宽度可实现 60%的真阳性率和 8%的假阳性率。如果将这些阈值纳入临床工作流程,它们可以识别高度调制的计划并减少所需的剂量验证测量次数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/8abebe2e8494/ACM2-21-132-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/44c3d3ac859c/ACM2-21-132-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/25d37d2443de/ACM2-21-132-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/65f170db7699/ACM2-21-132-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/8abebe2e8494/ACM2-21-132-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/44c3d3ac859c/ACM2-21-132-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/25d37d2443de/ACM2-21-132-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/65f170db7699/ACM2-21-132-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c39/7700925/8abebe2e8494/ACM2-21-132-g004.jpg

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