18F-FDG PET database of longitudinally confirmed healthy elderly individuals improves detection of mild cognitive impairment and Alzheimer's disease Academic Article Article uri icon


MeSH Major

  • Alzheimer Disease
  • Amyloid
  • Brain
  • Cognition Disorders
  • Positron-Emission Tomography


  • The normative reference sample is crucial for the diagnosis of Alzheimer's disease (AD) with automated18F-FDG PET analysis. We tested whether an18F-FDG PET database of longitudinally confirmed healthy elderly individuals ("normals," or NLs) would improve diagnosis of AD and mild cognitive impairment (MCI). Methods: Two18F-FDG PET databases of 55 NLs with 4-y clinical follow-up examinations were created: one of NLs who remained NL, and the other including a fraction of NLs who declined to MCI at follow-up. Each18F-FDG PET scan of 19 NLs, 37 MCI patients, and 33 AD patients was z scored using automated voxel-based comparison to both databases and examined for AD-related abnormalities. Results: Our database of longitudinally confirmed NLs yielded 1.4- to 2-fold higher z scores than did the mixed database in detecting18F-FDG PET abnormalities in both the MCI and the AD groups.18F-FDG PET diagnosis using the longitudinal NL database identified 100% NLs, 100% MCI patients, and 100% AD patients, which was significantly more accurate for MCI patients than with the mixed database (100% NLs, 68% MCI patients, and 94% AD patients identified). Conclusion: Our longitudinally confirmed NL database constitutes reliable18F-FDG PET normative values for MCI and AD. Copyright © 2007 by the Society of Nuclear Medicine, Inc.

publication date

  • July 2007



  • Academic Article


Digital Object Identifier (DOI)

  • 10.2967/jnumed.107.040675

PubMed ID

  • 17574982

Additional Document Info

start page

  • 1129

end page

  • 1134


  • 48


  • 7