Literature DB >> 7884498

Assessment of disease severity in parkinsonism with fluorine-18-fluorodeoxyglucose and PET.

D Eidelberg1, J R Moeller, T Ishikawa, V Dhawan, P Spetsieris, T Chaly, W Robeson, J R Dahl, D Margouleff.   

Abstract

UNLABELLED: Fluorine-18-fluorodeoxyglucose (FDG) and PET have been used to identify an abnormal regional metabolic covariance pattern in Parkinson's disease (PD). To examine the potential use of this covariance pattern as a metabolic imaging marker for PD, we describe the Topographic Profile Rating (TPR), which is a method for calculating subject scores for this pattern in individual PD patients. We then assess the relationship between these metabolic measures and objective independent disease severity ratings.
METHODS: Two independent groups of PD patients were studied with FDG-PET. Group A consisted of 23 patients (mean age 60.2 +/- 12.2; mean Hoehn and Yahr stages 2.4 +/- 1.3) and Group B had 14 patients (mean age 49.0 +/- 12.1; mean Hoehn and Yahr stage 3.2 +/- 1.2). The regional cerebral metabolic rates for glucose (rCMRGlc) in all patients in each group were measured. TPR was used to calculate subject scores for the disease-related covariance pattern on a patient-by-patient basis.
RESULTS: In both PD patient groups, subject scores correlated with Hoehn and Yahr disease severity ratings (Group A: r = 0.59, p < 0.004; Group B: 0.57, p < 0.04), quantitative ratings for bradykinesia (Group A: r = 0.63, p < 0.002; Group B: r = 0.61, p < 0.03), rigidity (Group A: r = 0.59, p < 0.004; Group B: r = 0.59, p < 0.04), but not with tremor.
CONCLUSION: These findings indicate that regional metabolic covariance patterns are robust imaging markers of disease severity. FDG-PET may be useful clinically in assessing parkinsonian disability and disease progression.

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Year:  1995        PMID: 7884498

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


  33 in total

1.  Functional networks in motor sequence learning: abnormal topographies in Parkinson's disease.

Authors:  T Nakamura; M F Ghilardi; M Mentis; V Dhawan; M Fukuda; A Hacking; J R Moeller; C Ghez; D Eidelberg
Journal:  Hum Brain Mapp       Date:  2001-01       Impact factor: 5.038

2.  Metabolic brain networks associated with cognitive function in Parkinson's disease.

Authors:  Chaorui Huang; Paul Mattis; Chengke Tang; Kenneth Perrine; Maren Carbon; David Eidelberg
Journal:  Neuroimage       Date:  2006-11-17       Impact factor: 6.556

Review 3.  The assessment of neurological systems with functional imaging.

Authors:  David Eidelberg
Journal:  Brain Lang       Date:  2006-08-08       Impact factor: 2.381

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.  Positron emission tomography imaging of transplant function.

Authors:  David J Brooks
Journal:  NeuroRx       Date:  2004-10

Review 6.  Neuroimaging in Parkinson's disease.

Authors:  David J Brooks
Journal:  NeuroRx       Date:  2004-04

Review 7.  Neurodegeneration and neuroprotection in Parkinson disease.

Authors:  Stanley Fahn; David Sulzer
Journal:  NeuroRx       Date:  2004-01

8.  Modulation of metabolic brain function by bilateral subthalamic nucleus stimulation in the treatment of Parkinson's disease.

Authors:  Jian Wang; YiLong Ma; ZheMin Huang; BoMin Sun; YiHui Guan; ChuanTao Zuo
Journal:  J Neurol       Date:  2009-08-07       Impact factor: 4.849

9.  Changes in network activity with the progression of Parkinson's disease.

Authors:  Chaorui Huang; Chengke Tang; Andrew Feigin; Martin Lesser; Yilong Ma; Michael Pourfar; Vijay Dhawan; David Eidelberg
Journal:  Brain       Date:  2007-04-30       Impact factor: 13.501

10.  Abnormal regional brain function in Parkinson's disease: truth or fiction?

Authors:  Yilong Ma; Chengke Tang; James R Moeller; David Eidelberg
Journal:  Neuroimage       Date:  2008-10-18       Impact factor: 6.556

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