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首页> 外文期刊>Journal of applied clinical medical physics / >The impact of robustness of deformable image registration on contour propagation and dose accumulation for head and neck adaptive radiotherapy
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The impact of robustness of deformable image registration on contour propagation and dose accumulation for head and neck adaptive radiotherapy

机译:可变形图像配准的鲁棒性对头颈部适应性放射治疗的轮廓传播和剂量累积的影响

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摘要

Deformable image registration (DIR) is the key process for contour propagation and dose accumulation in adaptive radiation therapy (ART). However, currently, ART suffers from a lack of understanding of “robustness” of the process involving the image contour based on DIR and subsequent dose variations caused by algorithm itself and the presetting parameters. The purpose of this research is to evaluate the DIR caused variations for contour propagation and dose accumulation during ART using the RayStation treatment planning system. Ten head and neck cancer patients were selected for retrospective studies. Contours were performed by a single radiation oncologist and new treatment plans were generated on the weekly CT scans for all patients. For each DIR process, four deformation vector fields (DVFs) were generated to propagate contours and accumulate weekly dose by the following algorithms: (a) ANACONDA with simple presetting parameters, (b) ANACONDA with detailed presetting parameters, (c) MORFEUS with simple presetting parameters, and (d) MORFEUS with detailed presetting parameters. The geometric evaluation considered DICE coefficient and Hausdorff distance. The dosimetric evaluation included D95, Dmax, Dmean, Dmin, and Homogeneity Index. For geometric evaluation, the DICE coefficient variations of the GTV were found to be 0.78 ± 0.11, 0.96 ± 0.02, 0.64 ± 0.15, and 0.91 ± 0.03 for simple ANACONDA, detailed ANACONDA, simple MORFEUS, and detailed MORFEUS, respectively. For dosimetric evaluation, the corresponding Homogeneity Index variations were found to be 0.137 ± 0.115, 0.006 ± 0.032, 0.197 ± 0.096, and 0.006 ± 0.033, respectively. The coherent geometric and dosimetric variations also consisted in large organs and small organs. Overall, the results demonstrated that the contour propagation and dose accumulation in clinical ART were influenced by the DIR algorithm, and to a greater extent by the presetting parameters. A quality assurance procedure should be established for the proper use of a commercial DIR for adaptive radiation therapy.
机译:可变形图像配准(DIR)是自适应放射治疗(ART)中轮廓传播和剂量累积的关键过程。然而,目前,ART缺乏对基于DIR的图像轮廓以及由算法本身和预设参数引起的后续剂量变化的处理的“鲁棒性”的理解。这项研究的目的是使用RayStation治疗计划系统评估DIR引起的ART传播过程中轮廓传播和剂量累积的变化。选择十名头颈癌患者进行回顾性研究。轮廓由一位放射肿瘤科医生完成,并且在所有患者的每周CT扫描中产生了新的治疗计划。对于每个DIR过程,通过以下算法生成四个变形矢量场(DVF),以传播轮廓并累积每周剂量:(a)具有简单预设参数的ANACONDA,(b)具有详细预设参数的ANACONDA,(c)具有简单预设的MORFEUS预设参数,以及(d)具有详细预设参数的MORFEUS。几何评估考虑了DICE系数和Hausdorff距离。剂量学评估包括D 95 ,D max ,D 平均值,D min 和均一性指数。对于几何评估,对于简单的ANACONDA,详细的ANACONDA,简单的MORFEUS和详细的MORFEUS,发现GTV的DICE系数变化分别为0.78±0.11、0.96±0.02、0.64±0.15和0.91±0.03。对于剂量评估,发现相应的均一性指数变化分别为0.137±0.115、0.006±0.032、0.197±0.096和0.006±0.033。连贯的几何和剂量学变化还包括大器官和小器官。总体而言,结果表明,临床ART中的轮廓传播和剂量累积受DIR算法的影响,并且在更大程度上受预设参数的影响。应建立质量保证程序,以适当使用商业DIR进行适应性放射治疗。

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