Literature DB >> 15927722

Voxel based comparison of glucose metabolism in the differential diagnosis of the multiple system atrophy using statistical parametric mapping.

Rahyeong Juh1, Chi-Un Pae, Chang-Uk Lee, Dongwon Yang, Yongan Chung, Taesuk Suh, Boyoung Choe.   

Abstract

OBJECTIVE: A differential diagnosis of idiopathic parkinsonian disease (IPD) and multiple system atrophy (MSA) is difficult due to their common signs and symptoms. The aim of this 18F-2-fluoro-2 deoxyglucose (18F-FDG) positron emission tomography (PET) study was to compare the regional cerebral glucose metabolism in MSA with that in IPD by statistical parametric mapping (SPM) and image registration.
METHODS: The 18F-FDG PET images of MSA and IPD patients were assessed by SPM and image registration to determine metabolic patterns that may be useful in differentiating between the two groups. Eleven patients with MSA, eight patients with IPD and 22 healthy controls participated in the study.
RESULTS: The IPD patients were found to have a significant glucose hypometabolism in comparison with the healthy controls in the prefrontal, lateral frontal, and parietotemporal cortices, and the cingulate and caudate areas (p< or =0.01, 100 voxel-level). In patients with MSA, hypometabolism was observed in the putamen, pons, and cerebellum in comparison with the healthy controls and IPD patients.
CONCLUSION: The voxel-based analysis of 18F-FDG PET images showed detailed differences between IPD and MSA, which may be useful in differentiating the two disease entities, as evidenced by the correlation of glucose metabolism with disease severity and dopamine agonist medication. The mapping analysis of 18F-FDG PET images might be a useful adjunctive method of a differential diagnosis for parkinsonism in a clinical setting.

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Year:  2005        PMID: 15927722     DOI: 10.1016/j.neures.2005.03.010

Source DB:  PubMed          Journal:  Neurosci Res        ISSN: 0168-0102            Impact factor:   3.304


  14 in total

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Authors:  Kathleen L Poston; David Eidelberg
Journal:  PET Clin       Date:  2010-01-01

2.  Use of diffusion tensor imaging to identify similarities and differences between cerebellar and Parkinsonism forms of multiple system atrophy.

Authors:  Po-Shan Wang; Hsiu-Mei Wu; Ching-Po Lin; Bing-Wen Soong
Journal:  Neuroradiology       Date:  2010-08-25       Impact factor: 2.804

3.  Different loss of dopamine transporter according to subtype of multiple system atrophy.

Authors:  Hae Won Kim; Jae Seung Kim; Minyoung Oh; Jungsu S Oh; Sang Joo Lee; Seung Jun Oh; Sun Ju Chung; Chong Sik Lee
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Review 4.  Recent developments in multiple system atrophy.

Authors:  Gregor K Wenning; Nadia Stefanova
Journal:  J Neurol       Date:  2009-05-27       Impact factor: 4.849

Review 5.  Recent advances in PET imaging for evaluation of Parkinson's disease.

Authors:  Chrissa Sioka; Andreas Fotopoulos; Athanassios P Kyritsis
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-01-27       Impact factor: 9.236

Review 6.  Molecular imaging as a guide for the treatment of central nervous system disorders.

Authors:  Euitae Kim; Oliver D Howes; Shitij Kapur
Journal:  Dialogues Clin Neurosci       Date:  2013-09       Impact factor: 5.986

7.  Preserved glucose metabolism of deep cerebellar nuclei in a case of multiple system atrophy with predominant cerebellar ataxia: f-18 fluorodeoxyglucose positron emission tomography study.

Authors:  Oh Dae Kwon; Chang-Seok Ki
Journal:  J Mov Disord       Date:  2010-10-30

8.  Comparison of Cerebral Glucose Metabolism between Possible and Probable Multiple System Atrophy.

Authors:  Kyum-Yil Kwon; Jae Seung Kim; Ki Chun Im; Myoung Chong Lee; Sun Ju Chung
Journal:  J Mov Disord       Date:  2009-04-30

Review 9.  Prenatal Alcohol Exposure in Rodents As a Promising Model for the Study of ADHD Molecular Basis.

Authors:  Argelia E Rojas-Mayorquín; Edgar Padilla-Velarde; Daniel Ortuño-Sahagún
Journal:  Front Neurosci       Date:  2016-12-15       Impact factor: 4.677

10.  Striatofrontal Deafferentiation in MSA-P: Evaluation with [18F]FDG Brain PET.

Authors:  Hae Won Kim; Minyoung Oh; Jungsu S Oh; Seung Jun Oh; Sang Ju Lee; Sun Ju Chung; Jae Seung Kim
Journal:  PLoS One       Date:  2017-01-13       Impact factor: 3.240

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