JNM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH RSS TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Related articles in JNM
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Drzezga, A.
Right arrow Articles by Kurz, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Drzezga, A.
Right arrow Articles by Kurz, A.
Journal of Nuclear Medicine Vol. 46 No. 10 1625-1632
© 2005 by Society of Nuclear Medicine


Clinical Investigations

Prediction of Individual Clinical Outcome in MCI by Means of Genetic Assessment and 18F-FDG PET

Alexander Drzezga, MD1, Timo Grimmer, MD2, Matthias Riemenschneider, MD2, Nicola Lautenschlager, MD3, Hartwig Siebner, MD4, Panagiotis Alexopoulus, MD2, Satoshi Minoshima, MD, PhD5, Markus Schwaiger, MD1 and Alexander Kurz, MD2

1 Department of Nuclear Medicine, Technische Universität, München, Munich, Germany
2 Department of Psychiatry and Psychotherapy, Technische Universität, München, Munich, Germany
3 School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, Western Australia, Australia
4 Department of Neurologie, Christian-Albrechts-University, Kiel, Germany, and NeuroImage-Nord, Hamburg, Germany
5 Department of Radiology, University of Washington, Seattle, Washington

Patients with mild cognitive impairment (MCI) represent a risk population for progressing to dementia of the Alzheimer type (DAT). However, clinical criteria do not ensure reliable individual prognosis in these patients. The objective of this longitudinal, prospective study was to examine the value of 18F-FDG PET of cerebral glucose metabolism and of genetic susceptibility, as defined by an APOE{epsilon}4–positive genotype, with regard to the early diagnosis of DAT in patients with MCI. Methods: In 30 patients with the diagnosis of MCI (16 female, 14 male; age, 70 ± 8 y), baseline and follow-up examinations (mean observation period, 16 mo) were performed. In all patients, the APOE genotype was assessed and cerebral glucose metabolism was evaluated at baseline using cranial 18F-FDG PET. Individual PET data were screened for findings suggestive of Alzheimer’s disease (AD), with the help of an automated computer program. After stereotactical normalization of the PET images, this program performs an observer-independent statistical comparison with an age-matched reference database (n = 22). Results: In 43% of all MCI subjects, a PET scan suggestive of AD pathology according to our predefined criteria was observed at baseline (PET+); 57% of all MCI patients were carriers of the APOE {epsilon}4 allele (e4+). In 40% of all patients, progression of symptoms within the observation period justified the clinical diagnosis of probable DAT at the time of follow-up reevaluation. Statistical evaluation revealed the best results for PET with regard to early diagnosis of DAT in MCI patients (sensitivity, 92%; specificity, 89%). Classification according to the APOE genotype was significantly less successful (sensitivity, 75%; specificity, 56%). However, a combination of both diagnostic tests allowed early diagnosis with either very high specificity (PET+ AND e4+: sensitivity, 67%; specificity, 100%) or very high sensitivity (PET+ OR e4+: sensitivity, 100%; specificity, 44%). Conclusion: 18F-FDG PET of cerebral glucose metabolism is a valuable diagnostic tool for the prediction of clinical outcome in individual MCI patients. Results are superior to the exclusive assessment of the APOE genotype. A combination of both functional imaging and genotyping may allow an early high-risk or low-risk stratification of patients with either very high sensitivity or very high specificity. This may be valuable, for example, for patient selection in scientific studies.

Key Words: Alzheimer’s disease • mild cognitive impairment • PET • APOE genotype • predictive value


Related articles in JNM:

THIS MONTH IN JNM

JNM 2005 46: 8a-9a. [Full Text]  



This article has been cited by other articles:


Home page
BrainHome page
F. Liu, J. Shi, H. Tanimukai, J. Gu, J. Gu, I. Grundke-Iqbal, K. Iqbal, and C.-X. Gong
Reduced O-GlcNAcylation links lower brain glucose metabolism and tau pathology in Alzheimer's disease
Brain, July 1, 2009; 132(7): 1820 - 1832.
[Abstract] [Full Text] [PDF]


Home page
JNMHome page
V. J. Lowe, B. J. Kemp, C. R. Jack Jr., M. Senjem, S. Weigand, M. Shiung, G. Smith, D. Knopman, B. Boeve, B. Mullan, et al.
Comparison of 18F-FDG and PiB PET in Cognitive Impairment
J. Nucl. Med., June 1, 2009; 50(6): 878 - 886.
[Abstract] [Full Text] [PDF]


Home page
NeurologyHome page
A. Drzezga, T. Grimmer, G. Henriksen, M. Muhlau, R. Perneczky, I. Miederer, C. Praus, C. Sorg, A. Wohlschlager, M. Riemenschneider, et al.
Effect of APOE genotype on amyloid plaque load and gray matter volume in Alzheimer disease
Neurology, April 28, 2009; 72(17): 1487 - 1494.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
Y. Yuan, Z.-X. Gu, and W.-S. Wei
Fluorodeoxyglucose-Positron-Emission Tomography, Single-Photon Emission Tomography, and Structural MR Imaging for Prediction of Rapid Conversion to Alzheimer Disease in Patients with Mild Cognitive Impairment: A Meta-Analysis
AJNR Am. J. Neuroradiol., February 1, 2009; 30(2): 404 - 410.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
G. Karas, J. Sluimer, R. Goekoop, W. van der Flier, S.A.R.B. Rombouts, H. Vrenken, P. Scheltens, N. Fox, and F. Barkhof
Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease
AJNR Am. J. Neuroradiol., May 1, 2008; 29(5): 944 - 949.
[Abstract] [Full Text] [PDF]


Home page
JNMHome page
L. Mosconi, W. H. Tsui, K. Herholz, A. Pupi, A. Drzezga, G. Lucignani, E. M. Reiman, V. Holthoff, E. Kalbe, S. Sorbi, et al.
Multicenter Standardized 18F-FDG PET Diagnosis of Mild Cognitive Impairment, Alzheimer's Disease, and Other Dementias
J. Nucl. Med., March 1, 2008; 49(3): 390 - 398.
[Abstract] [Full Text] [PDF]


Home page
Br. J. Radiol.Home page
K HERHOLZ, S F CARTER, and M JONES
Positron emission tomography imaging in dementia
Br. J. Radiol., December 1, 2007; 80(Special_Issue_2): S160 - S167.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
L. Mosconi, M. Brys, R. Switalski, R. Mistur, L. Glodzik, E. Pirraglia, W. Tsui, S. De Santi, and M. J. de Leon
From the Cover: Maternal family history of Alzheimer's disease predisposes to reduced brain glucose metabolism
PNAS, November 27, 2007; 104(48): 19067 - 19072.
[Abstract] [Full Text] [PDF]


Home page
JNMHome page
H. Matsuda
Role of Neuroimaging in Alzheimer's Disease, with Emphasis on Brain Perfusion SPECT
J. Nucl. Med., August 1, 2007; 48(8): 1289 - 1300.
[Abstract] [Full Text] [PDF]


Home page
JNMHome page
L. Mosconi, W. H. Tsui, A. Pupi, S. De Santi, A. Drzezga, S. Minoshima, and M. J. de Leon
18F-FDG PET Database of Longitudinally Confirmed Healthy Elderly Individuals Improves Detection of Mild Cognitive Impairment and Alzheimer's Disease
J. Nucl. Med., July 1, 2007; 48(7): 1129 - 1134.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH RSS TABLE OF CONTENTS
JOURNAL OF NUCLEAR MEDICINE TECHNOLOGY THE JOURNAL OF NUCLEAR MEDICINE
Copyright © 2005 by the Society of Nuclear Medicine.