Quantitative evaluation of Alzheimer's disease

S. Duchesne; G. B. Frisoni

doi:10.1117/12.810804

3 March 2009 Quantitative evaluation of Alzheimer's disease

S. Duchesne, G. B. Frisoni

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 726013 (2009) https://doi.org/10.1117/12.810804
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

S. Duchesne and G. B. Frisoni "Quantitative evaluation of Alzheimer's disease", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 726013 (3 March 2009); https://doi.org/10.1117/12.810804

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