PT  - JOURNAL ARTICLE
AU  - Mosconi, Lisa
AU  - Tsui, Wai Hon
AU  - Pupi, Alberto
AU  - De Santi, Susan
AU  - Drzezga, Alexander
AU  - Minoshima, Satoshi
AU  - de Leon, Mony J.
TI  - <sup>18</sup>F-FDG PET Database of Longitudinally Confirmed Healthy Elderly Individuals Improves Detection of Mild Cognitive Impairment and Alzheimer's Disease
AID  - 10.2967/jnumed.107.040675
DP  - 2007 Jul 01
TA  - Journal of Nuclear Medicine
PG  - 1129--1134
VI  - 48
IP  - 7
4099  - http://jnm.snmjournals.org/content/48/7/1129.short
4100  - http://jnm.snmjournals.org/content/48/7/1129.full
SO  - J Nucl Med2007 Jul 01; 48
AB  - The normative reference sample is crucial for the diagnosis of Alzheimer's disease (AD) with automated 18F-FDG PET analysis. We tested whether an 18F-FDG PET database of longitudinally confirmed healthy elderly individuals (“normals,” or NLs) would improve diagnosis of AD and mild cognitive impairment (MCI). Methods: Two 18F-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 18F-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 18F-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 reliable 18F-FDG PET normative values for MCI and AD.