Department of Neuropsychiatry, Kangwon National University Hospital, Chuncheon, Republic of Korea.
Psychiatry Res. 2010 Sep 30;183(3):237-43. doi: 10.1016/j.pscychresns.2010.03.006. Epub 2010 Aug 11.
This study aimed to compare the discrimination accuracy of hippocampal volume (HC-Vol), parahippocampal cingulum fractional anisotropy (PHC-FA), hippocampal glucose metabolism (HC-Glu), and any combination of the three measurements among normal control (NC), mild cognitive impairment (MCI), and Alzheimer's disease (AD). Three-dimensional MRI, diffusion tensor imaging, and FDG-PET were applied to age- and gender-matched 17 NC, 17 MCI, and 17 mild AD patients. Subjects also underwent a neuropsychological test battery including three verbal episodic memory tests. Logistic regression analyses were systematically conducted to select the best model for between-group discrimination. PHC-FA plus HC-Vol model, HC-Glu only model, and the model combining all three modalities were finally chosen for NC vs. MCI (discrimination accuracy: 79.4%), MCI vs. AD (73.5%), and NC vs. AD discrimination (94.1%), respectively. All the three imaging measures also showed significant correlation with all three episodic memory tests. These findings support that each imaging measure, respectively, and their combination have a stage-specific potential as a useful neuroimaging marker for detection and progression monitoring of early stage of AD.
本研究旨在比较海马体积（HC-Vol）、海马旁束分数各向异性（PHC-FA）、海马葡萄糖代谢（HC-Glu），以及这三种测量方法的任意组合在正常对照组（NC）、轻度认知障碍（MCI）和阿尔茨海默病（AD）患者中的鉴别准确率。对年龄和性别匹配的 17 名 NC、17 名 MCI 和 17 名轻度 AD 患者进行了三维 MRI、弥散张量成像和 FDG-PET 检查。受试者还接受了包括三个口头情景记忆测试的神经心理学测试。系统地进行了逻辑回归分析，以选择最佳的组间鉴别模型。PHC-FA 加 HC-Vol 模型、HC-Glu 模型和结合所有三种模态的模型最终分别用于 NC 与 MCI（鉴别准确率：79.4%）、MCI 与 AD（73.5%）和 NC 与 AD 鉴别（94.1%）。所有三种影像学测量方法均与所有三种情景记忆测试显著相关。这些发现支持了每种影像学测量方法，以及它们的组合，在 AD 早期阶段的检测和进展监测中具有特定阶段的潜力，是一种有用的神经影像学标志物。
