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MRI may predict continued decline in patients with mild cognitive impairment
Date:10/4/2010

n others.

"Altered iron distribution in the subcortical nuclei was another distinguishing feature between the healthy control individuals and patients with mild cognitive impairment," Dr. Haller said.

Haller's team also analyzed the MRI data with support vector machines (SVM), an artificial intelligence technique that uses algorithms to identify patterns within a group and create classifications. SVM analysis of baseline MRI data acquired at the initial exam distinguished patients with progressive MCI from those with stable MCI with 85 percent accuracy.

"The goal of my work is to identify biomarkers of mild cognitive impairment that will help us diagnose individual patients at risk for further decline," Dr. Haller said. "Using SVM to analyze iron deposits in the brain may be such a biomarker."


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Contact: Linda Brooks
lbrooks@rsna.org
630-590-7762
Radiological Society of North America
Source:Eurekalert

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