Huntington's Disease Research Centre, Institute of Neurology, University College London, London, UK.
Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK.
J Magn Reson Imaging. 2020 Nov;52(5):1385-1399. doi: 10.1002/jmri.27203. Epub 2020 May 29.
Structural brain MRI measures are frequently examined in both healthy and clinical groups, so an understanding of how these measures vary over time is desirable.
To test the stability of structural brain MRI measures over time.
In all, 112 healthy volunteers across four sites.
Retrospective analysis of prospectively acquired data.
FIELD STRENGTH/SEQUENCE: 3 T, magnetization prepared - rapid gradient echo, and single-shell diffusion sequence.
Diffusion, cortical thickness, and volume data from the sensorimotor network were assessed for stability over time across 3 years. Two sites used a Siemens MRI scanner, two sites a Philips scanner.
The stability of structural measures across timepoints was assessed using intraclass correlation coefficients (ICC) for absolute agreement, cutoff ≥0.80, indicating high reliability. Mixed-factorial analysis of variance (ANOVA) was used to examine between-site and between-scanner type differences in individuals over time.
All cortical thickness and gray matter volume measures in the sensorimotor network, plus all diffusivity measures (fractional anisotropy plus mean, axial and radial diffusivities) for primary and premotor cortices, primary somatosensory thalamic connections, and the cortico-spinal tract met ICC. The majority of measures differed significantly between scanners, with a trend for sites using Siemens scanners to produce larger values for connectivity, cortical thickness, and volume measures than sites using Philips scanners.
Levels of reliability over time for all tested structural MRI measures were generally high, indicating that any differences between measurements over time likely reflect underlying biological differences rather than inherent methodological variability.
结构性脑 MRI 测量在健康人群和临床人群中经常被检查,因此了解这些测量值随时间的变化是很有必要的。
测试结构性脑 MRI 测量值随时间的稳定性。
共有来自四个地点的 112 名健康志愿者。
前瞻性采集数据的回顾性分析。
场强/序列:3T,磁化准备快速梯度回波,单壳层扩散序列。
对来自感觉运动网络的扩散、皮质厚度和体积数据进行了 3 年的时间稳定性评估。两个地点使用了西门子 MRI 扫描仪,两个地点使用了飞利浦扫描仪。
使用组内相关系数(ICC)评估结构测量值随时间的稳定性,绝对一致性的 ICC 阈值≥0.80,表明具有高度可靠性。使用混合因子方差分析(ANOVA)来检验个体在不同时间点、不同地点和不同扫描仪类型之间的差异。
感觉运动网络中的所有皮质厚度和灰质体积测量值,以及初级和运动前皮质、初级体感丘脑连接以及皮质脊髓束的所有扩散测量值(各向异性分数加平均值、轴向和径向扩散系数)均符合 ICC。大多数测量值在扫描仪之间存在显著差异,使用西门子扫描仪的地点产生的连通性、皮质厚度和体积测量值大于使用飞利浦扫描仪的地点,这一趋势存在。
所有测试的结构性 MRI 测量值的时间稳定性均较高,表明随时间变化的测量值之间的差异很可能反映了潜在的生物学差异,而不是固有方法学的可变性。
4 级。
1 期。