Multicenter stability of diffusion tensor imaging measures: A European clinical and physical phantom study
Multicenter stability of diffusion tensor imaging measures: A European clinical and physical phantom study
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DOI：
10.1016/j.pscychresns2011.05.012
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发表时间：
2011-12-30
影响因子：
2.3
通讯作者：
Hampel, Harald
中科院分区：
文献类型：
--
作者：
Teipel, Stefan J.;Reuter, Sigrid;Hampel, Harald
弥散张量成像（DTI）检测神经精神疾病的白色损害，但在两个以上的扫描仪的DTI措施的可靠性数据仍然缺失。在这项研究中，我们评估了基于物理体模以及16台扫描仪的脑部扫描的DTI采集的多中心再现性。此外，我们在一个中心对26名临床上可能患有阿尔茨海默病（AD）的患者和12名健康老年对照进行了DTI扫描。我们确定了分数各向异性（FA）的措施，使用手动放置的感兴趣的区域，以及自动化的道为基础的空间统计和变形为基础的分析的变化。对于物理体模数据，FA的变异系数（CV）为6.9%。多中心脑扫描的平均CV对于基于束的统计为14%，对于基于变形的分析为29%。在组织化程度较低的纤维束的变化程度较高。我们的研究结果表明，临床和物理体模研究涉及两个以上的扫描仪是必不可少的，以检测潜在的偏倚来源，并可靠地估计效应大小的多中心诊断试验使用DTI。(C)2011爱思唯尔爱尔兰有限公司保留所有权利。
Diffusion tensor imaging (DTI) detects white matter damage in neuro-psychiatric disorders, but data on reliability of DTI measures across more than two scanners are still missing. In this study we assessed multicenter reproducibility of DTI acquisitions based on a physical phantom as well as brain scans across 16 scanners. In addition, we performed DTI scans in a group of 26 patients with clinically probable Alzheimer's disease (AD) and 12 healthy elderly controls at one single center. We determined the variability of fractional anisotropy (FA) measures using manually placed regions of interest as well as automated tract based spatial statistics and deformation based analysis. The coefficient of variation (CV) of FA was 6.9% for the physical phantom data. The mean CV across the multicenter brain scans was 14% for tract based statistics, and 29% for deformation based analysis. The degree of variation was higher in less organized fiber tracts. Our findings suggest that a clinical and physical phantom study involving more than two scanners is indispensable to detect potential sources of bias and to reliably estimate effect size in multicenter diagnostic trials using DTI. (C) 2011 Elsevier Ireland Ltd. All rights reserved.