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皮质下血管性痴呆和阿尔茨海默病脑容量的体内定量:一项基于磁共振成像的研究。

In vivo quantification of brain volumes in subcortical vascular dementia and Alzheimer's disease. An MRI-based study.

作者信息

Pantel J, Schröder J, Essig M, Jauss M, Schneider G, Eysenbach K, von Kummer R, Baudendistel K, Schad L R, Knopp M V

机构信息

Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Heidelberg, Germany.

出版信息

Dement Geriatr Cogn Disord. 1998 Nov-Dec;9(6):309-16. doi: 10.1159/000017082.

Abstract

Quantitative magnetic resonance imaging (MRI) was used to assess global and regional cerebral volumes in patients with a clinical diagnosis of subcortical vascular dementia (VD) and Alzheimer's disease (AD). Whole brain volume, cerebrospinal fluid volume, volumes of the temporal, frontal and parietal lobes, the cerebellum and the amygdala-hippocampus complex were determined using a personal computer-based software. Seventeen patients with VD, 22 patients with AD and 13 healthy controls were included. Analysis of covariance using age as covariate demonstrated significant mean differences between controls and dementia groups with respect to all morphological parameters. However, apart from the volume of the cerebellum no significant volumetric differences were found between VD and AD. These results indicate that MRI-based volumetry allows differentiation between AD or VD from normal controls and that measurement of cerebellar volume may be of use to separate vascular and degenerative dementia. However, since the distribution of cerebral atrophy in both dementia groups is very similar, it is suggested that the atrophic changes are not specific to the underlying cause but rather reflect the selective vulnerability of neuronal structures.

摘要

采用定量磁共振成像(MRI)评估临床诊断为皮质下血管性痴呆(VD)和阿尔茨海默病(AD)患者的全脑和局部脑容量。使用基于个人计算机的软件测定全脑体积、脑脊液体积、颞叶、额叶和顶叶体积、小脑体积以及杏仁核 - 海马复合体体积。纳入了17例VD患者、22例AD患者和13名健康对照者。以年龄作为协变量进行协方差分析显示,在所有形态学参数方面,对照组与痴呆组之间存在显著的平均差异。然而,除小脑体积外,VD和AD之间未发现显著的体积差异。这些结果表明,基于MRI的容积测量法能够区分AD或VD与正常对照,并且小脑体积测量可能有助于区分血管性痴呆和退行性痴呆。然而,由于两个痴呆组脑萎缩的分布非常相似,提示萎缩性改变并非特定于潜在病因,而是反映了神经元结构的选择性易损性。

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