Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging

被引：284

作者：

Davatzikos, Christos ^{[1
]}

Fan, Yong ^{[1
]}

Wu, Xiaoying ^{[1
]}

Shen, Dinggang ^{[1
]}

Resnick, Susan M. ^{[2
]}

机构：

[1] Univ Penn, Dept Radiol, Sect Biomed Image Anal, Philadelphia, PA 19104 USA

[2] NIA, Lab Personal & Cognit, Bethesda, MD 20892 USA

来源：

NEUROBIOLOGY OF AGING | 2008年 / 29卷 / 04期

关键词：

prodromal Alzheimer's disease; MCI; pattern recognition; MRI;

D O I：

10.1016/j.neurobiolaging.2006.11.010

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

摘要：

We report evidence that computer-based high-dimensional pattern classification of magnetic resonance imaging (MRI) detects patterns of brain structure characterizing mild cognitive impairment (MCI), often a prodromal phase of Alzheimer's disease (AD). Ninety percent diagnostic accuracy was achieved, using cross-validation, for 30 participants in the Baltimore Longitudinal Study of Aging. Retrospective evaluation of serial scans obtained during prior years revealed gradual increases in structural abnormality for the MCI group, often before clinical symptoms, but slower increase for individuals remaining cognitively normal. Detecting complex patterns of brain abnormality in very early stages of cognitive impairment has pivotal importance for the detection and management of AD. (C) 2006 Elsevier Inc. All rights reserved.

引用

页码：514 / 523

页数：10

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