Scan-rescan reliability of subcortical brain volumes derived from automated segmentation.

Scan-rescan reliability of subcortical brain volumes derived from automated segmentation.
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DOI:
10.1002/hbm.20973
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发表时间:
2010-11
影响因子:
4.8
通讯作者:
McCarthy, Gregory
McCarthy, Gregory
中科院分区:
医学2区
文献类型:
--
作者:
Morey, Rajendra A.;Selgrade, Elizabeth S.;Wagner, Henry Ryan, II;Huettel, Scott A.;Wang, Lihong;McCarthy, Gregory

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区域脑容量的大规模纵向研究需要使用自动分割和标记进行可靠的量化。然而,即使使用相同的扫描仪和采集参数,对同一对象进行重复 MR 扫描,由于图像方向的微小变化、预扫描参数的变化以及磁场不稳定,也不会产生相同的图像。这些差异可能会导致不同结构的体积估计发生明显变化。本研究通过对 23 名正常参与者进行日内和跨日比较,检验了用于测量多个皮层下区域的自动分割算法的扫描-重扫描可靠性。我们发现,体积测量的可靠性,包括体积差异百分比、体积重叠百分比(Dice 系数)和组内相关系数(ICC),在不同大脑区域之间存在很大差异。在一些结构中观察到较低的可靠性,例如杏仁核(ICC = 0.6),而对于其他结构,例如丘脑和尾状核,可靠性较高(ICC = 0.9)。使用 FSL/FIRST 和 FreeSurfer(纵向流)进行自动分割时,各区域的可靠性模式相似。可靠性与结构的体积、结构的体积与表面积的比率、扫描间间隔的大小以及分割方法相关。用于检测一系列可能的效应大小的脑容量变化的样本量估计也因地区而异。因此,纵向研究需要仔细分析样本量和分割方法的选择,并考虑感兴趣的大脑结构和预期影响的程度。
Large-scale longitudinal studies of regional brain volume require reliable quantification using automated segmentation and labeling. However, repeated MR scanning of the same subject, even if using the same scanner and acquisition parameters, does not result in identical images due to small changes in image orientation, changes in prescan parameters, and magnetic field instability. These differences may lead to appreciable changes in estimates of volume for different structures. This study examined scan–rescan reliability of automated segmentation algorithms for measuring several subcortical regions, using both within-day and across-day comparison sessions in a group of 23 normal participants. We found that the reliability of volume measures including percent volume difference, percent volume overlap (Dice’s coefficient), and intraclass correlation coefficient (ICC), varied substantially across brain regions. Low reliability was observed in some structures such as the amygdala (ICC = 0.6), with higher reliability (ICC = 0.9) for other structures such as the thalamus and caudate. Patterns of reliability across regions were similar for automated segmentation with FSL/FIRST and FreeSurfer (longitudinal stream). Reliability was associated with the volume of the structure, the ratio of volume to surface area for the structure, the magnitude of the interscan interval, and the method of segmentation. Sample size estimates for detecting changes in brain volume for a range of likely effect sizes also differed by region. Thus, longitudinal research requires a careful analysis of sample size and choice of segmentation method combined with a consideration of the brain structure(s) of interest and the magnitude of the anticipated effects.
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