Regional distribution of measurement error in diffusion tensor imaging
Regional distribution of measurement error in diffusion tensor imaging
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DOI：
10.1016/j.pscychresns.2006.01.008
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发表时间：
2006-06-30
影响因子：
2.3
通讯作者：
Weinberger, Daniel R.
中科院分区：
文献类型：
--
作者：
Marenco, Stefano;Rawlings, Robert;Weinberger, Daniel R.
测量误差的表征在评估精神疾病纵向和队列研究中弥散张量成像（DTI）结果的意义方面至关重要。我们研究了20名健康志愿者，每个人扫描两次（扫描之间的平均间隔为51 +/- 46.8天）与单次发射回波平面DTI技术。各向异性分数（FA）和迹线（D）的会话间变异性表示为绝对变异（受试者内标准差：SDw）、变异系数百分比（CV）和组内相关系数（ICC）。采用重复测量方差分析或配对t检验的非参数等效方法比较两个阶段的值的统计学显著性。结果显示FA和Trace的重现性良好（CV低于10%，大多数感兴趣区域的ICC等于或高于0.70），并且有证据表明扫描之间的Trace存在系统性全局变化。这里描述的再现性的区域分布的解释区域的结果和严格的预处理的影响。SDw、CV和ICC的重现性指标的区域分布不同。这些测量中的每一个都揭示了在对DT图像组执行统计操作时需要考虑的补充信息。出版社：Elsevier爱尔兰有限公司
The characterization of measurement error is critical in assessing the significance of diffusion tensor imaging (DTI) findings in longitudinal and cohort studies of psychiatric disorders. We studied 20 healthy volunteers, each one scanned twice (average interval between scans of 51 +/- 46.8 days) with a single shot echo planar DTI technique. Intersession variability for fractional anisotropy (FA) and Trace (D) was represented as absolute variation (standard deviation within subjects: SDw), percent coefficient of variation (CV) and intraclass correlation coefficient (ICC). The values from the two sessions were compared for statistical significance with repeated measures analysis of variance or a non-parametric equivalent of a paired t-test. The results showed good reproducibility for both FA and Trace (CVs below 10% and ICCs at or above 0.70 in most regions of interest) and evidence of systematic global changes in Trace between scans. The regional distribution of reproducibility described here has implications for the interpretation of regional findings and for rigorous preprocessing. The regional distribution of reproducibility measures was different for SDw, CV and ICC. Each one of these measures reveals complementary information that needs to be taken into consideration when performing statistical operations on groups of DT images. Published by Elsevier Ireland Ltd.