Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters
- PMID: 32055966
- DOI: 10.1007/s00259-020-04714-0
Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters
Erratum in
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Correction to: Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters.Eur J Nucl Med Mol Imaging. 2020 Oct;47(11):2715-2716. doi: 10.1007/s00259-020-04933-5. Eur J Nucl Med Mol Imaging. 2020. PMID: 32592039
Abstract
Purpose: [18F]FDG-PET and [11C]PIB-PET are validated as neurodegeneration and amyloid biomarkers of Alzheimer's disease (AD). We used a PET staging system based on the 2018 NIA-AA research framework to compare the proportion of amyloid positivity (A+) and hypometabolism ((N)+) in cases of mild probable AD, amnestic mild cognitive impairment (aMCI), and healthy controls, incorporating an additional classification of abnormal [18F]FDG-PET patterns and investigating the co-occurrence of such with A+, exploring [18F]FDG-PET to generate hypotheses in cases presenting with clinical-biomarker "mismatches."
Methods: Elderly individuals (N = 108) clinically classified as controls (N = 27), aMCI (N = 43) or mild probable AD (N = 38) were included. Authors assessed their A(N) profiles and classified [18F]FDG-PET neurodegenerative patterns as typical or non-typical of AD, performing re-assessments of images whenever clinical classification was in disagreement with the PET staging (clinical-biomarker "mismatches"). We also investigated associations between "mismatches" and sociodemographic and educational characteristics.
Results: AD presented with higher rates of A+ and (N)+. There was also a higher proportion of A+ and (N)+ individuals in the aMCI group in comparison to controls, however without statistical significance regarding the A staging. There was a significant association between amyloid positivity and AD (N)+ hypometabolic patterns typical of AD. Non-AD (N)+ hypometabolism was seen in all A- (N)+ cases in the mild probable AD and control groups and [18F]FDG-PET patterns classified such individuals as "SNAP" and one as probable frontotemporal lobar degeneration. All A- (N)- cases in the probable AD group had less than 4 years of formal education and lower socioeconomic status (SES).
Conclusion: The PET-based staging system unveiled significant A(N) differences between AD and the other groups, whereas aMCI and controls had different (N) staging, explaining the cognitive impairment in aMCI. [18F]FDG-PET could be used beyond simple (N) staging, since it provided alternative hypotheses to cases with clinical-biomarker "mismatches." An AD hypometabolic pattern correlated with amyloid positivity. Low education and SES were related to dementia in the absence of biomarker changes.
Keywords: Alzheimer’s disease; Amyloid; Amyloid beta-peptides; Cognitive dysfunction; Education; Fluorodeoxyglucose F18; Positron-emission tomography.
Comment in
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In the era of FDG PET, is it time for brain perfusion SPECT to gain a place in Alzheimer's disease imaging biomarkers?Eur J Nucl Med Mol Imaging. 2021 Apr;48(4):969-971. doi: 10.1007/s00259-020-05077-2. Epub 2020 Oct 20. Eur J Nucl Med Mol Imaging. 2021. PMID: 33078261 No abstract available.
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