Literature DB >> 16204712

Prediction of individual clinical outcome in MCI by means of genetic assessment and (18)F-FDG PET.

Alexander Drzezga1, Timo Grimmer, Matthias Riemenschneider, Nicola Lautenschlager, Hartwig Siebner, Panagiotis Alexopoulus, Satoshi Minoshima, Markus Schwaiger, Alexander Kurz.   

Abstract

UNLABELLED: 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 (18)F-FDG PET of cerebral glucose metabolism and of genetic susceptibility, as defined by an APOEepsilon4-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 (18)F-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 epsilon4 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: (18)F-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.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16204712

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  92 in total

Review 1.  The concept of FDG-PET endophenotype in Alzheimer's disease.

Authors:  Emmanuel H During; R S Osorio; F M Elahi; L Mosconi; M J de Leon
Journal:  Neurol Sci       Date:  2011-06-01       Impact factor: 3.307

Review 2.  Positron emission tomography imaging in neurological disorders.

Authors:  Marios Politis; Paola Piccini
Journal:  J Neurol       Date:  2012-09       Impact factor: 4.849

Review 3.  Molecular brain imaging in the multimodality era.

Authors:  Julie C Price
Journal:  J Cereb Blood Flow Metab       Date:  2012-03-21       Impact factor: 6.200

4.  Fluorodeoxyglucose positron emission tomography of mild cognitive impairment with clinical follow-up at 3 years.

Authors:  José V Pardo; Joel T Lee; Michael A Kuskowski; Kristin R Munch; John V Carlis; Sohail A Sheikh; Christa Surerus; Scott M Lewis; J Riley McCarten; Howard Fink; Susan McPherson; Hemant H Shah; Susan Rottunda; Maurice W Dysken
Journal:  Alzheimers Dement       Date:  2010-05-06       Impact factor: 21.566

Review 5.  The neuroimaging approach to the assessment of mild cognitive impairment.

Authors:  Giovanni Lucignani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-06       Impact factor: 9.236

6.  Hippocampal hypometabolism predicts cognitive decline from normal aging.

Authors:  Lisa Mosconi; Susan De Santi; Juan Li; Wai Hon Tsui; Yi Li; Madhu Boppana; Eugene Laska; Henry Rusinek; Mony J de Leon
Journal:  Neurobiol Aging       Date:  2007-01-11       Impact factor: 4.673

Review 7.  Brain glucose hypometabolism and oxidative stress in preclinical Alzheimer's disease.

Authors:  Lisa Mosconi; Alberto Pupi; Mony J De Leon
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

8.  Brain SPECT in subtypes of mild cognitive impairment. Findings from the DESCRIPA multicenter study.

Authors:  Flavio Nobili; Giovanni B Frisoni; Florence Portet; Frans Verhey; Guido Rodriguez; Anna Caroli; Jacques Touchon; Piero Calvini; Silvia Morbelli; Fabrizio De Carli; Ugo P Guerra; Laura A Van de Pol; Pieter-Jelle Visser
Journal:  J Neurol       Date:  2008-08-01       Impact factor: 4.849

9.  Mild cognitive impairment: searching for the prodrome of Alzheimer's disease.

Authors:  Paul B Rosenberg; Constantine Lyketsos
Journal:  World Psychiatry       Date:  2008       Impact factor: 49.548

Review 10.  Using Pittsburgh Compound B for in vivo PET imaging of fibrillar amyloid-beta.

Authors:  Ann D Cohen; Gil D Rabinovici; Chester A Mathis; William J Jagust; William E Klunk; Milos D Ikonomovic
Journal:  Adv Pharmacol       Date:  2012
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.