Literature DB >> 19939228

MCI patients declining and not-declining at mid-term follow-up: FDG-PET findings.

M Pagani1, B Dessi, S Morbelli, A Brugnolo, D Salmaso, A Piccini, D Mazzei, G Villavecchia, S A Larsson, G Rodriguez, F Nobili.   

Abstract

Patients with Mild Cognitive Impairment (MCI) not converted to dementia at one to three years follow-up represent a heterogeneous group across studies, by including 'late converters' but also patients without any neurodegenerative disease. We tested the hypothesis that the combination of memory and brain metabolic assessment could identify subgroups of memory decliners (MCI/Decl) and non-decliners (MCI/noDecl) before a long follow-up time is available. From twenty-nine patients with amnestic MCI (aMCI) at baseline, three groups were identified at follow-up: 10 patients who converted to AD (MCI/AD); 10 patients either showing episodic memory worsening or reaching the floor effect on memory and declining in other key tests (MCI/Decl) and 9 patients showing no memory worsening or even improvement (MCI/noDecl). They were compared with a group of fourteen elderly controls (CTR) by means of basal FDG-PET voxel-based analysis (SPM2). Two hypometabolic clusters were found in MCI/AD versus CTR, including the bilateral posterior cingulate cortex, the left parietal precuneus and the left fusiform gyrus. MCI/AD showed also a large hypometabolic region, mainly including the left medium and superior temporal gyri and inferior parietal lobule, when compared to MCI/noDecl. The MCI/Decl showed a hypometabolic region in the left medial temporal lobe versus both CTR (hippocampus) and MCI/noDecl (parahippocampal gyrus and hippocampus). No significant difference was found in the comparison between CTR and MCI/noDecl, neither in the comparison between MCI/Decl and MCI/AD. Thus, non converter MCI patients comprised a sub-group of 'decliners' with AD-like metabolic and cognitive patterns, likely including 'late converters', and a sub-group lacking this pattern, with stable or improving memory function and a brain metabolic picture similar to that in healthy controls. Combining neuropsychological and FDG-PET information could be used for prognostic purposes in aMCI patients at medium-term follow-up.

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Year:  2010        PMID: 19939228     DOI: 10.2174/156720510791162368

Source DB:  PubMed          Journal:  Curr Alzheimer Res        ISSN: 1567-2050            Impact factor:   3.498


  24 in total

Review 1.  FDG-PET for early assessment of Alzheimer's disease: isn't the evidence base large enough?

Authors:  Giovanni Lucignani; Flavio Nobili
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-08       Impact factor: 9.236

Review 2.  Clinical utility of FDG-PET for the clinical diagnosis in MCI.

Authors:  Javier Arbizu; Cristina Festari; Daniele Altomare; Zuzana Walker; Femke Bouwman; Jasmine Rivolta; Stefania Orini; Henryk Barthel; Federica Agosta; Alexander Drzezga; Peter Nestor; Marina Boccardi; Giovanni Battista Frisoni; Flavio Nobili
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-27       Impact factor: 9.236

Review 3.  State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.

Authors:  Magalie Viallon; Victor Cuvinciuc; Benedicte Delattre; Laura Merlini; Isabelle Barnaure-Nachbar; Seema Toso-Patel; Minerva Becker; Karl-Olof Lovblad; Sven Haller
Journal:  Neuroradiology       Date:  2015-04-10       Impact factor: 2.804

Review 4.  A Cochrane review on brain [¹⁸F]FDG PET in dementia: limitations and future perspectives.

Authors:  Silvia Morbelli; Valentina Garibotto; Elsmarieke Van De Giessen; Javier Arbizu; Gaël Chételat; Alexander Drezgza; Swen Hesse; Adriaan A Lammertsma; Ian Law; Sabina Pappata'; Pierre Payoux; Marco Pagani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-09       Impact factor: 9.236

5.  Early identification of MCI converting to AD: a FDG PET study.

Authors:  Marco Pagani; Flavio Nobili; Silvia Morbelli; Dario Arnaldi; Alessandro Giuliani; Johanna Öberg; Nicola Girtler; Andrea Brugnolo; Agnese Picco; Matteo Bauckneht; Roberta Piva; Andrea Chincarini; Gianmario Sambuceti; Cathrine Jonsson; Fabrizio De Carli
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-29       Impact factor: 9.236

Review 6.  ¹⁸F-FDG PET for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI).

Authors:  Nadja Smailagic; Marco Vacante; Chris Hyde; Steven Martin; Obioha Ukoumunne; Christos Sachpekidis
Journal:  Cochrane Database Syst Rev       Date:  2015-01-28

7.  18F-FDG PET diagnostic and prognostic patterns do not overlap in Alzheimer's disease (AD) patients at the mild cognitive impairment (MCI) stage.

Authors:  Silvia Morbelli; Matteo Bauckneht; Dario Arnaldi; Agnese Picco; Matteo Pardini; Andrea Brugnolo; Ambra Buschiazzo; Marco Pagani; Nicola Girtler; Alberto Nieri; Andrea Chincarini; Fabrizio De Carli; Gianmario Sambuceti; Flavio Nobili
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-08-07       Impact factor: 9.236

8.  Brain hypermetabolism in amyotrophic lateral sclerosis: a FDG PET study in ALS of spinal and bulbar onset.

Authors:  Angelina Cistaro; Maria Consuelo Valentini; Adriano Chiò; Flavio Nobili; Andrea Calvo; Cristina Moglia; Anna Montuschi; Silvia Morbelli; Dario Salmaso; Piercarlo Fania; Giovanna Carrara; Marco Pagani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-11-17       Impact factor: 9.236

9.  Beneficial network effects of methylene blue in an amnestic model.

Authors:  Penny D Riha; Julio C Rojas; F Gonzalez-Lima
Journal:  Neuroimage       Date:  2010-11-16       Impact factor: 6.556

10.  Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer's disease dementia.

Authors:  Javier Arbizu; E Prieto; P Martínez-Lage; J M Martí-Climent; M García-Granero; I Lamet; P Pastor; M Riverol; M T Gómez-Isla; I Peñuelas; J A Richter; M W Weiner
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-05-29       Impact factor: 9.236

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