Zou Kelly H, Du Hongyan, Sidharthan Shawn, Detora Lisa M, Chen Yunmei, Ragin Ann B, Edelman Robert R, Wu Ying
Pfizer Inc., New York, NY, USA.
Int J Biomed Imaging. 2010;2010:618747. doi: 10.1155/2010/618747. Epub 2010 Feb 9.
Magnetization transfer imaging (MT) may have considerable promise for early detection and monitoring of subtle brain changes before they are apparent on conventional magnetic resonance images. At 3 Tesla (T), MT affords higher resolution and increased tissue contrast associated with macromolecules. The reliability and reproducibility of a new high-resolution MT strategy were assessed in brain images acquired from 9 healthy subjects. Repeated measures were taken for 12 brain regions of interest (ROIs): genu, splenium, and the left and right hemispheres of the hippocampus, caudate, putamen, thalamus, and cerebral white matter. Spearman's correlation coefficient, coefficient of variation, and intraclass correlation coefficient (ICC) were computed. Multivariate mixed-effects regression models were used to fit the mean ROI values and to test the significance of the effects due to region, subject, observer, time, and manual repetition. A sensitivity analysis of various model specifications and the corresponding ICCs was conducted. Our statistical methods may be generalized to many similar evaluative studies of the reliability and reproducibility of various imaging modalities.
磁化传递成像(MT)在早期检测和监测细微脑变化方面可能具有巨大潜力,这些变化在传统磁共振图像上尚不明显。在3特斯拉(T)时,MT能提供更高的分辨率,并增强与大分子相关的组织对比度。在从9名健康受试者获取的脑图像中评估了一种新的高分辨率MT策略的可靠性和可重复性。对12个脑感兴趣区域(ROI)进行了重复测量:胼胝体膝部、压部以及海马体、尾状核、壳核、丘脑和脑白质的左右半球。计算了斯皮尔曼相关系数、变异系数和组内相关系数(ICC)。使用多变量混合效应回归模型来拟合平均ROI值,并检验区域、受试者、观察者、时间和手动重复所产生效应的显著性。对各种模型规格和相应的ICC进行了敏感性分析。我们的统计方法可推广到许多关于各种成像模态的可靠性和可重复性的类似评估研究中。