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Proceedings Paper

Quantitative evaluation of Alzheimer's disease
Author(s): S. Duchesne; G. B. Frisoni
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Paper Abstract

We propose a single, quantitative metric called the disease evaluation factor (DEF) and assess its efficiency at estimating disease burden in normal, control subjects (CTRL) and probable Alzheimer's disease (AD) patients. The study group consisted in 75 patients with a diagnosis of probable AD and 75 age-matched normal CTRL without neurological or neuropsychological deficit. We calculated a reference eigenspace of MRI appearance from reference data, in which our CTRL and probable AD subjects were projected. We then calculated the multi-dimensional hyperplane separating the CTRL and probable AD groups. The DEF was estimated via a multidimensional weighted distance of eigencoordinates for a given subject and the CTRL group mean, along salient principal components forming the separating hyperplane. We used quantile plots, Kolmogorov-Smirnov and χ2 tests to compare the DEF values and test that their distribution was normal. We used a linear discriminant test to separate CTRL from probable AD based on the DEF factor, and reached an accuracy of 87%. A quantitative biomarker in AD would act as an important surrogate marker of disease status and progression.

Paper Details

Date Published: 3 March 2009
PDF: 5 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 726013 (3 March 2009); doi: 10.1117/12.810804
Show Author Affiliations
S. Duchesne, Univ. Laval (Canada)
G. B. Frisoni, IRCCS, Fatebenefratelli (Italy)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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