Literature DB >> 7501148

Early differential diagnosis of Parkinson's disease with 18F-fluorodeoxyglucose and positron emission tomography.

D Eidelberg1, J R Moeller, T Ishikawa, V Dhawan, P Spetsieris, T Chaly, A Belakhlef, F Mandel, S Przedborski, S Fahn.   

Abstract

Early-stage Parkinson's disease (EPD) is often clinically asymmetric. We used 18F-fluorodeoxyglucose (FDG) and PET to assess whether EPD can be detected by a characteristic pattern of regional metabolic asymmetry. To identify this pattern, we studied 10 EPD (Hoehn and Yahr stage I) patients (mean age 61.1 +/- 11.1 years) using 18F-FDG and PET to calculate regional metabolic rates for glucose. The scaled subprofile model (SSM) was applied to metabolic asymmetry measurements for the combined group of EPD patients and normal subjects to identify a specific covariation pattern that discriminated EPD patients from normal subjects. To determine whether this pattern could be used diagnostically, we studied a subsequent group of five presumptive EPD patients (mean age 50.9 +/- 18.3), five normal subjects (mean age 44.6 +/- 15.3), and nine patients with atypical drug-resistant early-stage parkinsonism (APD) (mean age 44.6 +/- 14.0). In each member of this prospective cohort, we calculated the expression of the EPD-related covariation pattern (subject scores) on a case-by-case basis. We also studied 11 of the EPD patients, five patients with APD, and 10 normal subjects with 18F-fluorodopa (FDOPA) and PET to measure presynaptic nigrostriatal dopaminergic function, and we assessed the accuracy of differential diagnosis with both PET methods using discrimination analysis. SSM analysis disclosed a significant topographic contrast profile characterized by covariate basal ganglia and thalamic asymmetries. Subject scores for this profile accurately discriminated EPD patients from normal subjects and APD patients (p < 0.0001). Group assignments into the normal or parkinsonian categories with FDG/PET were comparable to those achieved with FDOPA/PET, although APD and EPD patients were not differentiable by the latter method. Metabolic brain imaging with FDG/PET may be useful in the differential diagnosis of EPD.

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Year:  1995        PMID: 7501148     DOI: 10.1212/wnl.45.11.1995

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  26 in total

1.  Gray matter network associated with risk for Alzheimer's disease in young to middle-aged adults.

Authors:  Gene E Alexander; Kaitlin L Bergfield; Kewei Chen; Eric M Reiman; Krista D Hanson; Lan Lin; Daniel Bandy; Richard J Caselli; James R Moeller
Journal:  Neurobiol Aging       Date:  2012-03-08       Impact factor: 4.673

2.  Brain networks associated with cognitive reserve in healthy young and old adults.

Authors:  Yaakov Stern; Christian Habeck; James Moeller; Nikolaos Scarmeas; Karen E Anderson; H John Hilton; Joseph Flynn; Harold Sackeim; Ronald van Heertum
Journal:  Cereb Cortex       Date:  2005-04       Impact factor: 5.357

Review 3.  Evidence from biomarkers and surrogate endpoints.

Authors:  Andrew Feigin
Journal:  NeuroRx       Date:  2004-07

4.  Assessment of disease progression in parkinsonism.

Authors:  Kotaro Asanuma; Vijay Dhawan; Maren Carbon; David Eidelberg
Journal:  J Neurol       Date:  2004-10       Impact factor: 4.849

Review 5.  Metabolic networks for assessment of therapy and diagnosis in Parkinson's disease.

Authors:  Shigeki Hirano; Thomas Eckert; Toni Flanagan; David Eidelberg
Journal:  Mov Disord       Date:  2009       Impact factor: 10.338

6.  Abnormal metabolic network activity in REM sleep behavior disorder.

Authors:  Florian Holtbernd; Jean-François Gagnon; Ron B Postuma; Yilong Ma; Chris C Tang; Andrew Feigin; Vijay Dhawan; Mélanie Vendette; Jean-Paul Soucy; David Eidelberg; Jacques Montplaisir
Journal:  Neurology       Date:  2014-01-22       Impact factor: 9.910

7.  PET studies of cerebral metabolism in Parkinson disease.

Authors:  William J Powers
Journal:  J Bioenerg Biomembr       Date:  2009-12       Impact factor: 2.945

8.  Covariance PET patterns in early Alzheimer's disease and subjects with cognitive impairment but no dementia: utility in group discrimination and correlations with functional performance.

Authors:  Nikolaos Scarmeas; Christian G Habeck; Eric Zarahn; Karen E Anderson; Aileen Park; John Hilton; Gregory H Pelton; Matthias H Tabert; Lawrence S Honig; James R Moeller; Davangere P Devanand; Yaakov Stern
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9.  Transcranial sonography and functional imaging in glucocerebrosidase mutation Parkinson disease.

Authors:  M J Barrett; J Hagenah; V Dhawan; S Peng; K Stanley; D Raymond; A Deik; S J Gross; N Schreiber-Agus; A Mirelman; K Marder; L J Ozelius; D Eidelberg; S B Bressman; R Saunders-Pullman
Journal:  Parkinsonism Relat Disord       Date:  2012-10-10       Impact factor: 4.891

10.  Regional, kinetic [(18)F]FDG PET imaging of a unilateral Parkinsonian animal model.

Authors:  Matthew D Silva; Charles Glaus; Jacob Y Hesterman; Jack Hoppin; Geraldine Hill Della Puppa; Timothy Kazules; Kelly M Orcutt; Mary Germino; David Immke; Silke Miller
Journal:  Am J Nucl Med Mol Imaging       Date:  2013-03-08
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