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From the Department of Neurology (Drs. Eidelberg, Ishikawa, Dhawan, and Spetsieris), North Shore University Hospital/Cornell University Medical College, Manhasset, NY; the Department of Psychiatry (Dr. Moeller), New York State Psychiatric Institute, Columbia College of Physicians and Surgeons, New York, NY; the Departments of Medicine and Research (Drs. Chaly, Belakhlef, and Mandel), North Shore University Hospital/Cornell University Medical College, Manhasset, NY; and the Department of Neurology (Drs. Przedborski and Fahn), Neurological Institute, Columbia College of Physicians and Surgeons, New York, NY.
Early-stage Parkinson's disease (EPD) is often clinically asymmetric. We used 18F-fluorodeoxyglu-cose (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 (AF'D) (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 AF'D, and 10 normal subjects with 18F-fluorodopa (FDOPA) and PET to measure presynaptic nigrostriatal dopaminer-gic 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 AF'D patients (p < 0.0001). Group assignments into the normal or parkinsonian categories with FDGPET were comparable to those achieved with FDOPA-PET, although APD and EPD patients were not differentiable by the latter method. Metabolic brain imaging with FDGPET may be useful in the differential diagnosis of EPD.
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