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- Title
Summary metrics to assess Alzheimer disease-related hypometabolic pattern with 18F-FDG PET: head-to-head comparison.
- Authors
Caroli, Anna; Prestia, Annapaola; Chen, Kewei; Ayutyanont, Napatkamon; Landau, Susan M; Madison, Cindee M; Haense, Cathleen; Herholz, Karl; Nobili, Flavio; Reiman, Eric M; Jagust, William J; Frisoni, Giovanni B; EADC-PET Consortium, NEST-DD, and Alzheimer's Disease Neuroimaging Initiative
- Abstract
In the recently revised diagnostic criteria for Alzheimer disease (AD), the National Institute on Aging and Alzheimer Association suggested that confidence in diagnosing dementia due to AD and mild cognitive impairment (MCI) due to AD could be improved by the use of certain biomarkers, such as (18)F-FDG PET evidence of hypometabolism in AD-affected brain regions. Three groups have developed automated data analysis techniques to characterize the AD-related pattern of hypometabolism in a single measurement. In this study, we sought to directly compare the ability of these three (18)F-FDG PET data analysis techniques--the PMOD Alzheimer discrimination analysis tool, the hypometabolic convergence index, and a set of meta-analytically derived regions of interest reflecting AD hypometabolism pattern (metaROI)--to distinguish moderate or mild AD dementia patients and MCI patients who subsequently converted to AD dementia from cognitively normal older adults.
- Publication
Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2012, Vol 53, Issue 4, p592
- ISSN
1535-5667
- Publication type
Journal Article
- DOI
10.2967/jnumed.111.094946