4.7 Article

Does combined imaging of the pre- and postsynaptic dopaminergic system increase the diagnostic accuracy in the differential diagnosis of parkinsonism?

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Publisher

SPRINGER
DOI: 10.1007/s00259-007-0375-8

Keywords

quantitative evaluation; [I-123]IBZM; automatic data processing; asymmetry

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Purpose We hypothesized that combining pre- and postsynaptic quantitative information about the dopaminergic system would provide a higher diagnostic accuracy in the differential diagnosis of parkinsonism than specific striatal D-2 receptor binding alone. Therefore, the aim of the study was to introduce new semi-quantitative parameters and evaluate their ability to discriminate between Parkinson's disease (IPS) and non-idiopathic parkinsonian syndromes (non-IPS). Methods In 100 patients (69 IPS, 31 non-IPS), postsynaptic [I-123]IBZM and presynaptic [I-123]FP-CIT SPECT scans were evaluated by observer-independent techniques. The diagnostic performances of striatal dopamine transporter (DAT) and D-2 receptor binding, their respective asymmetries, and a combination of pre- and postsynaptic asymmetry were evaluated with ROC analyses. A logistic regression model was generated combining factors to calculate the probability for each patient of belonging to either diagnostic group. Results D-2 receptor binding provided a sensitivity of 87.1% and a specificity of 72.5% with an area under the curve (AUC) of 0.866. The AUCs of other single parameters were lower than that of D-2 binding. A gain of diagnostic power (p=0.026) was reached with a model combining pre- and postsynaptic asymmetries and D-2 binding (sensitivity 90.3%, specificity 73.9%, AUC 0.893). Conclusion The combination of quantitative parameters of presynaptic DAT and postsynaptic D-2 receptor binding demonstrates superior diagnostic power in the differentiation of patients with IPS and non-IPS than the established approach based on D-2 binding alone. Striatal D-2 receptor binding and the combination of DAT and IBZM binding asymmetries are the factors contributing most in separating these diagnostic groups.

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