Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Acad Radiol. 2011 Dec;18(12):1492-9. doi: 10.1016/j.acra.2011.07.015. Epub 2011 Sep 9.
The relative roles of arterial spin-labeling (ASL) perfusion imaging and magnetic resonance morphological assessment in diagnosing Alzheimer's disease (AD) have not been established. Our purposes were to directly compare the diagnostic performance of ASL regional cerebral blood flow (rCBF) measurement and that of morphological assessment, and to determine whether or not the combination of the two methods improves diagnostic performance.
We analyzed 23 consecutive, retrospectively identified AD patients and 23 healthy control subjects. For each subject, both high-resolution T1-weighted images and ASL perfusion images were obtained. A linear discriminant analysis was performed to distinguish the AD patients from the control subjects based on the three imaging parameters: 1) globally normalized gray matter (GM) density determined by voxel-based morphometry (VBM) procedures, 2) normalized rCBF calculated from ASL data, and 3) the combination of the two. The discriminative abilities of these methods were evaluated by the area under the curve (AUC) derived from receiver-operating characteristics analysis.
The morphological assessment based on the globally normalized GM density resulted in an AUC of 0.779, whereas ASL-normalized rCBF analysis achieved better performance (AUC = 0.893). The combination of the two methods performed better (AUC = 0.919) than either method alone.
Normalized rCBF measurement by ASL may perform better than morphological analysis based on the VBM procedure in discriminating AD patients from healthy control subjects. The combination of the two approaches was more effective than either method alone.
动脉自旋标记(ASL)灌注成像和磁共振形态评估在诊断阿尔茨海默病(AD)中的相对作用尚未确定。我们的目的是直接比较 ASL 局部脑血流(rCBF)测量和形态评估的诊断性能,并确定这两种方法的组合是否可以提高诊断性能。
我们分析了 23 例连续的、回顾性确定的 AD 患者和 23 例健康对照者。对每位受试者均进行高分辨率 T1 加权图像和 ASL 灌注图像采集。基于三种成像参数:1)基于体素形态计量学(VBM)程序确定的全局归一化灰质(GM)密度,2)从 ASL 数据计算的归一化 rCBF,3)两者的组合,采用线性判别分析将 AD 患者与对照组区分开来。通过受试者工作特征分析得出的曲线下面积(AUC)评估这些方法的判别能力。
基于全局归一化 GM 密度的形态评估的 AUC 为 0.779,而 ASL 归一化 rCBF 分析的性能更好(AUC = 0.893)。两种方法的组合比任何一种方法的单独使用表现更好(AUC = 0.919)。
与基于 VBM 程序的形态分析相比,ASL 测量的归一化 rCBF 可能在区分 AD 患者与健康对照组方面表现更好。两种方法的组合比任何一种方法的单独使用更有效。