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时间概率对肺部肿瘤4D剂量计算的影响。

Impact of temporal probability in 4D dose calculation for lung tumors.

作者信息

Rouabhi Ouided, Ma Mingyu, Bayouth John, Xia Junyi

机构信息

University of Iowa.

出版信息

J Appl Clin Med Phys. 2015 Nov 8;16(6):110-118. doi: 10.1120/jacmp.v16i6.5517.

Abstract

The purpose of this study was to evaluate the dosimetric uncertainty in 4D dose calculation using three temporal probability distributions: uniform distribution, sinusoidal distribution, and patient-specific distribution derived from the patient respiratory trace. Temporal probability, defined as the fraction of time a patient spends in each respiratory amplitude, was evaluated in nine lung cancer patients. Four-dimensional computed tomography (4D CT), along with deformable image registration, was used to compute 4D dose incorporating the patient's respiratory motion. First, the dose of each of 10 phase CTs was computed using the same planning parameters as those used in 3D treatment planning based on the breath-hold CT. Next, deformable image registration was used to deform the dose of each phase CT to the breath-hold CT using the deformation map between the phase CT and the breath-hold CT. Finally, the 4D dose was computed by summing the deformed phase doses using their corresponding temporal probabilities. In this study, 4D dose calculated from the patient-specific temporal probability distribution was used as the ground truth. The dosimetric evaluation matrix included: 1) 3D gamma analysis, 2) mean tumor dose (MTD), 3) mean lung dose (MLD), and 4) lung V20. For seven out of nine patients, both uniform and sinusoidal temporal probability dose distributions were found to have an average gamma passing rate > 95% for both the lung and PTV regions. Compared with 4D dose calculated using the patient respiratory trace, doses using uniform and sinusoidal distribution showed a percentage difference on average of -0.1% ± 0.6% and -0.2% ± 0.4% in MTD, -0.2% ± 1.9% and -0.2% ± 1.3% in MLD, 0.09% ± 2.8% and -0.07% ± 1.8% in lung V20, -0.1% ± 2.0% and 0.08% ± 1.34% in lung V10, 0.47% ± 1.8% and 0.19% ± 1.3% in lung V5, respectively. We concluded that four-dimensional dose computed using either a uniform or sinusoidal temporal probability distribution can approximate four-dimensional dose computed using the patient-specific respiratory trace.

摘要

本研究的目的是使用三种时间概率分布评估四维剂量计算中的剂量学不确定性

均匀分布、正弦分布以及从患者呼吸轨迹导出的患者特异性分布。在九名肺癌患者中评估了时间概率,其定义为患者在每个呼吸幅度下所花费的时间占比。利用四维计算机断层扫描(4D CT)以及可变形图像配准来计算纳入患者呼吸运动的四维剂量。首先,使用与基于屏气CT的三维治疗计划相同的计划参数计算10个相位CT中每个的剂量。接下来,使用可变形图像配准,利用相位CT与屏气CT之间的变形图将每个相位CT的剂量变形到屏气CT。最后,通过使用相应的时间概率对变形后的相位剂量求和来计算四维剂量。在本研究中,从患者特异性时间概率分布计算得到的四维剂量用作参考标准。剂量学评估矩阵包括:1)三维伽马分析,2)平均肿瘤剂量(MTD),3)平均肺剂量(MLD),以及4)肺V20。在九名患者中的七名患者中,发现均匀和正弦时间概率剂量分布在肺和计划靶区(PTV)区域的平均伽马通过率均> 95%。与使用患者呼吸轨迹计算的四维剂量相比,使用均匀和正弦分布的剂量在MTD方面平均百分比差异分别为-0.1% ± 0.6%和-0.2% ± 0.4%,在MLD方面分别为-0.2% ± 1.9%和-0.2% ± 1.3%,在肺V20方面分别为0.09% ± 2.8%和-0.07% ± 1.8%,在肺V10方面分别为-0.1% ± 2.0%和0.08% ± 1.34%,在肺V5方面分别为0.47% ± 1.8%和0.19% ± 1.3%。我们得出结论,使用均匀或正弦时间概率分布计算的四维剂量可以近似使用患者特异性呼吸轨迹计算的四维剂量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a35b/5691019/67bf185a1e03/ACM2-16-110-g001.jpg

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