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J Nucl Med. 2007 Jul;48(7):1129-34. Epub 2007 Jun 15.

(18)F-FDG PET database of longitudinally confirmed healthy elderly individuals improves detection of mild cognitive impairment and Alzheimer's disease.

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  • 1New York University School of Medicine, New York, New York 10016, USA. lisa.mosconi@med.nyu.edu

Abstract

The normative reference sample is crucial for the diagnosis of Alzheimer's disease (AD) with automated (18)F-FDG PET analysis. We tested whether an (18)F-FDG PET database of longitudinally confirmed healthy elderly individuals ("normals," or NLs) would improve diagnosis of AD and mild cognitive impairment (MCI).

METHODS:

Two (18)F-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. Each (18)F-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 detecting (18)F-FDG PET abnormalities in both the MCI and the AD groups. (18)F-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 reliable (18)F-FDG PET normative values for MCI and AD.

PMID:
17574982
DOI:
10.2967/jnumed.107.040675
[PubMed - indexed for MEDLINE]
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