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评估六种 TPS 算法在计算入射剂量和出射剂量中的应用。

Evaluation of six TPS algorithms in computing entrance and exit doses.

机构信息

University of Glasgow.

出版信息

J Appl Clin Med Phys. 2014 May 8;15(3):229–240. doi: 10.1120/jacmp.v15i3.4739.

DOI:10.1120/jacmp.v15i3.4739
PMID:24892349
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5711058/
Abstract

Entrance and exit doses are commonly measured in in vivo dosimetry for comparison with expected values, usually generated by the treatment planning system (TPS), to verify accuracy of treatment delivery. This report aims to evaluate the accuracy of six TPS algorithms in computing entrance and exit doses for a 6 MV beam. The algorithms tested were: pencil beam convolution (Eclipse PBC), analytical anisotropic algorithm (Eclipse AAA), AcurosXB (Eclipse AXB), FFT convolution (XiO Convolution), multigrid superposition (XiO Superposition), and Monte Carlo photon (Monaco MC). Measurements with ionization chamber (IC) and diode detector in water phantoms were used as a reference. Comparisons were done in terms of central axis point dose, 1D relative profiles, and 2D absolute gamma analysis. Entrance doses computed by all TPS algorithms agreed to within 2% of the measured values. Exit doses computed by XiO Convolution, XiO Superposition, Eclipse AXB, and Monaco MC agreed with the IC measured doses to within 2%-3%. Meanwhile, Eclipse PBC and Eclipse AAA computed exit doses were higher than the IC measured doses by up to 5.3% and 4.8%, respectively. Both algorithms assume that full backscatter exists even at the exit level, leading to an overestimation of exit doses. Despite good agreements at the central axis for Eclipse AXB and Monaco MC, 1D relative comparisons showed profiles mismatched at depths beyond 11.5 cm. Overall, the 2D absolute gamma (3%/3 mm) pass rates were better for Monaco MC, while Eclipse AXB failed mostly at the outer 20% of the field area. The findings of this study serve as a useful baseline for the implementation of entrance and exit in vivo dosimetry in clinical departments utilizing any of these six common TPS algorithms for reference comparison.

摘要

入射剂量和出射剂量通常在体内剂量学中进行测量,以便与治疗计划系统(TPS)生成的预期值进行比较,从而验证治疗的准确性。本报告旨在评估六种 TPS 算法在计算 6MV 射束入射剂量和出射剂量方面的准确性。测试的算法包括:铅笔束卷积(Eclipse PBC)、解析各向异性算法(Eclipse AAA)、AcurosXB(Eclipse AXB)、快速傅里叶变换卷积(XiO Convolution)、多重网格叠加(XiO Superposition)和蒙特卡罗光子(Monaco MC)。采用水模中的电离室(IC)和二极管探测器进行测量,作为参考。比较内容包括:中心轴点剂量、1D 相对分布和 2D 绝对伽马分析。所有 TPS 算法计算的入射剂量与测量值相差在 2%以内。XiO Convolution、XiO Superposition、Eclipse AXB 和 Monaco MC 计算的出射剂量与 IC 测量的剂量相差在 2%-3%以内。而 Eclipse PBC 和 Eclipse AAA 计算的出射剂量比 IC 测量的剂量高 5.3%和 4.8%。这两个算法都假设在出口处存在完全的反向散射,导致出射剂量的高估。尽管 Eclipse AXB 和 Monaco MC 在中心轴处有较好的一致性,但 1D 相对比较显示,在深度超过 11.5cm 时,分布曲线不匹配。总体而言,对于 Monaco MC,2D 绝对伽马(3%/3mm)通过率更好,而 Eclipse AXB 主要在场边缘的 20%处失败。本研究结果为临床部门实施入射和出射体内剂量学提供了有用的基准,可供参考和比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/c254a3802fef/ACM2-15-229-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/aa41dd3f7129/ACM2-15-229-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/f6f90751231e/ACM2-15-229-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/fb06024221a5/ACM2-15-229-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/c254a3802fef/ACM2-15-229-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/aa41dd3f7129/ACM2-15-229-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/3fadebc1dbc5/ACM2-15-229-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/6370de759b39/ACM2-15-229-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/f6f90751231e/ACM2-15-229-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c745/5711058/fb06024221a5/ACM2-15-229-g005.jpg
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