. A comparison of imaging, cognitive and blood biomarkers for prediction of cognitive decline. Human Amyloid Imaging 2010 Meeting Abstracts. 2010 April 9;


Background: Longitudinal studies including both structural and amyloid neuroimaging as well as cognitive, genetic and biochemical biomarkers are allowing a better understanding of the role of brain Aβ deposition in cognitive decline. The purpose of this study was to compare the accuracy of different biomarkers to predict cognitive decline and conversion to Alzheimer's disease (AD).

Methods: Follow-up was obtained 20±3 months after biochemical (plasma Aβ42/Aβ40), genetic (ApoE), cognitive (memory and non-memory scores) and neuroimaging (3D MRI, FDG and PiB-PET) evaluation in 57 subjects with mild cognitive impairment (MCI) (79% amnestic) and 97 age-matched healthy controls (HC) (73±7 years of age). Results: At follow-up, progression to AD occurred in 47% of MCI, while 4% were re-classified as HC. Comparison of converters to non-converters showed a significant difference in episodic memory scores, prevalence of ApoE-ε4 allele, PiB retention, hippocampal volume (HV) and posterior cingulate glucose metabolism. There were no differences in plasma Aβ42/Aβ40 and non-memory scores. The accuracy in predicting conversion from MCI to AD based on cut-off values was 81% for PiB, 78% for memory, 77% for ApoE-ε4, 72% for HV, 68% for FDG, and 61% for plasma Aβ. Combining PiB and memory, the predictive accuracy increased to 87%. Of the high PiB HC, 14% developed MCI or AD by 20 months and at least 21% by 3 years. One (2%) low PiB HC developed MCI. Of PiB, HV, FDG, age, memory score and non-memory cognitive score, only PiB SUVR (pConclusions: PiB binding and cognitive measures were the best predictors of cognitive decline and conversion to AD over 20 months. These findings may have application in early diagnosis of AD and subject selection for therapeutic trials.


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  1. Toronto: HAI Amyloid Imaging Conference Abstracts