Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to alzheimer's dementia

Paula T. Trzepacz, Peng Yu, Jia Sun, Kory Schuh, Michael Case, Michael M. Witte, Helen Hochstetler, Ann Hake

Research output: Contribution to journalArticle

80 Scopus citations

Abstract

In this study we compared Pittsburgh compound-B (PIB) positron emission tomography (PET) amyloid imaging, fluorodeoxyglucose PET for metabolism, and magnetic resonance imaging (MRI) for structure to predict conversion from amnestic mild cognitive impairment (MCI) to Alzheimer's dementia using data from the Alzheimer's Disease Neuroimaging Initiative cohort. Numeric neuroimaging variables generated by the Alzheimer's Disease Neuroimaging Initiative-funded laboratories for each neuroimaging modality along with apolipoprotein-E genotype (n= 29) were analyzed. Performance of these biomarkers for predicting conversion from MCI to Alzheimer's dementia at 2 years was evaluated in 50 late amnestic MCI subjects, 20 of whom converted. Multivariate modeling found that among individual modalities, MRI had the highest predictive accuracy (67%) which increased by 9% to 76% when combined with PIB-PET, producing the highest accuracy among any biomarker combination. Individually, PIB-PET generated the best sensitivity, and fluorodeoxyglucose PET had the lowest. Among individual brain regions, the temporal cortex was found to be most predictive for MRI and PIB-PET.

Original languageEnglish (US)
Pages (from-to)143-151
Number of pages9
JournalNeurobiology of Aging
Volume35
Issue number1
DOIs
StatePublished - Jan 1 2014

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Keywords

  • ADNI
  • Alzheimer's disease
  • Amyloid imaging
  • ApoE
  • Biomarkers
  • Conversion
  • Dementia
  • FDG-PET
  • Mild cognitive impairment
  • MRI
  • Neuroimaging
  • PIB-PET

ASJC Scopus subject areas

  • Clinical Neurology
  • Neuroscience(all)
  • Aging
  • Developmental Biology
  • Geriatrics and Gerontology

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