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基于CT图像剂量计算的伽玛刀放射外科治疗。

Gamma Knife radiosurgery with CT image-based dose calculation.

作者信息

Xu Andy Yuanguang, Bhatnagar Jagdish, Bednarz Greg, Niranjan Ajay, Kondziolka Douglas, Flickinger John, Lunsford L Dade, Huq M Saiful

机构信息

University of Pittsburgh Cancer Institute.

出版信息

J Appl Clin Med Phys. 2015 Nov 8;16(6):119–129. doi: 10.1120/jacmp.v16i6.5530.

Abstract

The Leksell GammaPlan software version 10 introduces a CT image-based segmentation tool for automatic skull definition and a convolution dose calculation algorithm for tissue inhomogeneity correction. The purpose of this work was to evaluate the impact of these new approaches on routine clinical Gamma Knife treatment planning. Sixty-five patients who underwent CT image-guided Gamma Knife radiosurgeries at the University of Pittsburgh Medical Center in recent years were retrospectively investigated. The diagnoses for these cases include trigeminal neuralgia, meningioma, acoustic neuroma, AVM, glioma, and benign and metastatic brain tumors. Dose calculations were performed for each patient with the same dose prescriptions and the same shot arrangements using three different approaches: 1) TMR 10 dose calculation with imaging skull definition; 2) convolution dose calculation with imaging skull definition; 3) TMR 10 dose calculation with conventional measurement-based skull definition. For each treatment matrix, the total treatment time, the target coverage index, the selectivity index, the gradient index, and a set of dose statistics parameters were compared between the three calculations. The dose statistics parameters investigated include the prescription isodose volume, the 12 Gy isodose volume, the minimum, maximum and mean doses on the treatment targets, and the critical structures under consideration. The difference between the convolution and the TMR 10 dose calculations for the 104 treatment matrices were found to vary with the patient anatomy, location of the treatment shots, and the tissue inhomogeneities around the treatment target. An average difference of 8.4% was observed for the total treatment times between the convolution and the TMR algorithms. The maximum differences in the treatment times, the prescription isodose volumes, the 12 Gy isodose volumes, the target coverage indices, the selectivity indices, and the gradient indices from the convolution and the TMR 10 calculations are 14.9%, 16.4%, 11.1%, 16.8, 6.9%, and 11.4%, respectively. The maximum differences in the minimum and the mean target doses between the two calculation algorithms are 8.1% and 4.2% of the corresponding prescription doses. The maximum differences in the maximum and the mean doses for the critical structures between the two calculation algorithms are 1.3 Gy and 0.7 Gy. The results from the two skull definition methods with the TMR 10 algorithm agree either within ± 2.5% or 0.3 Gy for the dose values, except for a 4.9% difference in the treatment times for a lower cerebellar lesion. The imaging skull definition method does not affect Gamma Knife dose calculation considerably when compared to the conventional measurement-based skull definition method, except in some extreme cases. Large differences were observed between the TMR 10 and the convolution calculation method for the same dose prescription and the same shot arrangements, indicating that the implementation of the convolution algorithm in routine clinical use might be desirable for optimal dose calculation results.

摘要

Leksell伽玛刀治疗计划软件版本10引入了一种基于CT图像的分割工具用于自动颅骨定义,以及一种卷积剂量计算算法用于组织不均匀性校正。本研究的目的是评估这些新方法对常规临床伽玛刀治疗计划的影响。回顾性调查了近年来在匹兹堡大学医学中心接受CT图像引导下伽玛刀放射外科治疗的65例患者。这些病例的诊断包括三叉神经痛、脑膜瘤、听神经瘤、动静脉畸形、胶质瘤以及良性和转移性脑肿瘤。使用三种不同方法对每位患者进行相同剂量处方和相同照射安排的剂量计算:1)采用影像颅骨定义的TMR 10剂量计算;2)采用影像颅骨定义的卷积剂量计算;3)采用基于传统测量的颅骨定义的TMR 10剂量计算。对于每个治疗矩阵,比较了三种计算方法之间的总治疗时间、靶区覆盖指数、选择性指数、梯度指数以及一组剂量统计参数。所研究的剂量统计参数包括处方等剂量体积、12 Gy等剂量体积、治疗靶区的最小、最大和平均剂量以及所考虑的关键结构。发现104个治疗矩阵的卷积和TMR 10剂量计算之间的差异随患者解剖结构、治疗照射位置以及治疗靶区周围的组织不均匀性而变化。卷积算法和TMR算法之间的总治疗时间平均差异为8.4%。卷积算法和TMR 10算法在治疗时间、处方等剂量体积、12 Gy等剂量体积、靶区覆盖指数、选择性指数和梯度指数方面的最大差异分别为14.9%、16.4%、11.1%、16.8、6.9%和11.4%。两种计算算法在最小和平均靶区剂量方面的最大差异分别为相应处方剂量的8.1%和4.2%。两种计算算法在关键结构的最大和平均剂量方面的最大差异分别为1.3 Gy和0.7 Gy。除了小脑下部病变的治疗时间有4.9%的差异外,采用TMR 10算法的两种颅骨定义方法在剂量值上的差异在±2.5%或0.3 Gy范围内。与基于传统测量的颅骨定义方法相比,影像颅骨定义方法对伽玛刀剂量计算的影响不大,除非在某些极端情况下。对于相同的剂量处方和相同的照射安排,TMR 10算法和卷积计算方法之间观察到较大差异,这表明在常规临床应用中实施卷积算法可能有助于获得最佳剂量计算结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee1f/5691031/38e3a1b1ea7c/ACM2-16-119-g001.jpg

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