Literature DB >> 18648805

Principal component analysis of FDG PET in amnestic MCI.

Flavio Nobili1, Dario Salmaso, Silvia Morbelli, Nicola Girtler, Arnoldo Piccardo, Andrea Brugnolo, Barbara Dessi, Stig A Larsson, Guido Rodriguez, Marco Pagani.   

Abstract

PURPOSE: The purpose of the study is to evaluate the combined accuracy of episodic memory performance and (18)F-FDG PET in identifying patients with amnestic mild cognitive impairment (aMCI) converting to Alzheimer's disease (AD), aMCI non-converters, and controls.
METHODS: Thirty-three patients with aMCI and 15 controls (CTR) were followed up for a mean of 21 months. Eleven patients developed AD (MCI/AD) and 22 remained with aMCI (MCI/MCI). (18)F-FDG PET volumetric regions of interest underwent principal component analysis (PCA) that identified 12 principal components (PC), expressed by coarse component scores (CCS). Discriminant analysis was performed using the significant PCs and episodic memory scores.
RESULTS: PCA highlighted relative hypometabolism in PC5, including bilateral posterior cingulate and left temporal pole, and in PC7, including the bilateral orbitofrontal cortex, both in MCI/MCI and MCI/AD vs CTR. PC5 itself plus PC12, including the left lateral frontal cortex (LFC: BAs 44, 45, 46, 47), were significantly different between MCI/AD and MCI/MCI. By a three-group discriminant analysis, CTR were more accurately identified by PET-CCS + delayed recall score (100%), MCI/MCI by PET-CCS + either immediate or delayed recall scores (91%), while MCI/AD was identified by PET-CCS alone (82%). PET increased by 25% the correct allocations achieved by memory scores, while memory scores increased by 15% the correct allocations achieved by PET.
CONCLUSION: Combining memory performance and (18)F-FDG PET yielded a higher accuracy than each single tool in identifying CTR and MCI/MCI. The PC containing bilateral posterior cingulate and left temporal pole was the hallmark of MCI/MCI patients, while the PC including the left LFC was the hallmark of conversion to AD.

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Year:  2008        PMID: 18648805     DOI: 10.1007/s00259-008-0869-z

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  58 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-28       Impact factor: 11.205

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3.  FDG-PET measurement is more accurate than neuropsychological assessments to predict global cognitive deterioration in patients with mild cognitive impairment.

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5.  Stability of neurocognitive impairment in different subtypes of mild cognitive impairment.

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10.  MCI conversion to dementia and the APOE genotype: a prediction study with FDG-PET.

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  29 in total

1.  Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease.

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

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3.  Identification of MCI individuals using structural and functional connectivity networks.

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

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

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8.  Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

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9.  Hyper-connectivity of functional networks for brain disease diagnosis.

Authors:  Biao Jie; Chong-Yaw Wee; Dinggang Shen; Daoqiang Zhang
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10.  Visual Rating and Computer-Assisted Analysis of FDG PET in the Prediction of Conversion to Alzheimer's Disease in Mild Cognitive Impairment.

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Journal:  Mol Diagn Ther       Date:  2018-08       Impact factor: 4.074

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