Alzheimer's disease diagnosis in individual subjects using structural MR images: validation studies.

ABSTRACT:

Objective

To develop and validate a tool for Alzheimer's disease (AD) diagnosis in individual subjects using support vector machine (SVM)-based classification of structural MR (sMR) images.

Background

Libraries of sMR scans of clinically well characterized subjects can be harnessed for the purpose of diagnosing new incoming subjects.

Methods

One hundred ninety patients with probable AD were age- and gender-matched with 190 cognitively normal (CN) subjects. Three different classification models were implemented: Model I uses tissue densities obtained from sMR scans to give STructural Abnormality iNDex (STAND)-score; and Models II and III use tissue densities as well as covariates (demographics and Apolipoprotein E genotype) to give adjusted-STAND (aSTAND)-score. Data f

SUBMITTER: Vemuri P 

PROVIDER: S-EPMC2390889 | biostudies-literature | 2008 Feb

REPOSITORIES: biostudies-literature