BACKGROUND: The diagnosis of Parkinson disease is currently based on clinical evaluation. Functional neuroimaging using (123I) beta-carboxymethyoxy-3-beta-(4-iodophenyl) tropane (CIT) and single-photon emission computed tomography (SPECT) provides information on the integrity of the dopaminergic system in vivo and is a promising diagnostic tool in early Parkinson disease. OBJECTIVE: To evaluate the diagnostic accuracy of dopamine transporter imaging using (123I)beta-CIT in patients with suspected parkinsonian syndrome (PS). DESIGN: Community neurologists referred patients with suspected PS for imaging evaluation. Clinical diagnoses (positive PS or negative PS) were provided by the community neurologists and 2 movement disorder experts. We performed (123I)beta-CIT and SPECT imaging, and imaging diagnoses of positive PS or negative PS were assigned. A 6-month follow-up clinical diagnosis was assigned by a movement disorder expert blind to the imaging data, which represented the "gold standard" diagnosis for the study. RESULTS: Thirty-five patients with suspected PS were referred. Diagnoses in question included essential tremor, psychogenic parkinsonism, drug-induced parkinsonism, primary dystonia, and unspecified gait disorder. Comparing the community neurologist's diagnoses at referral with the gold standard diagnosis, there was dis agreement in 25.7% (sensitivity, 0.92; specificity, 0.30). Comparing the quantitative imaging diagnoses with the gold standard, there was disagreement in 8.6% (sensitivity, 0.92; specificity, 1.00). CONCLUSION: Performing (123I)beta-CIT and SPECT imaging at baseline appears to be a useful diagnostic tool to detect patients thought to have PS at baseline but who, after follow-up, do not have PS.
BACKGROUND: The diagnosis of Parkinson disease is currently based on clinical evaluation. Functional neuroimaging using (123I) beta-carboxymethyoxy-3-beta-(4-iodophenyl) tropane (CIT) and single-photon emission computed tomography (SPECT) provides information on the integrity of the dopaminergic system in vivo and is a promising diagnostic tool in early Parkinson disease. OBJECTIVE: To evaluate the diagnostic accuracy of dopamine transporter imaging using (123I)beta-CIT in patients with suspected parkinsonian syndrome (PS). DESIGN: Community neurologists referred patients with suspected PS for imaging evaluation. Clinical diagnoses (positive PS or negative PS) were provided by the community neurologists and 2 movement disorder experts. We performed (123I)beta-CIT and SPECT imaging, and imaging diagnoses of positive PS or negative PS were assigned. A 6-month follow-up clinical diagnosis was assigned by a movement disorder expert blind to the imaging data, which represented the "gold standard" diagnosis for the study. RESULTS: Thirty-five patients with suspected PS were referred. Diagnoses in question included essential tremor, psychogenic parkinsonism, drug-induced parkinsonism, primary dystonia, and unspecifiedgait disorder. Comparing the community neurologist's diagnoses at referral with the gold standard diagnosis, there was dis agreement in 25.7% (sensitivity, 0.92; specificity, 0.30). Comparing the quantitative imaging diagnoses with the gold standard, there was disagreement in 8.6% (sensitivity, 0.92; specificity, 1.00). CONCLUSION: Performing (123I)beta-CIT and SPECT imaging at baseline appears to be a useful diagnostic tool to detect patients thought to have PS at baseline but who, after follow-up, do not have PS.
Authors: Edward Ofori; Ofer Pasternak; Peggy J Planetta; Hong Li; Roxana G Burciu; Amy F Snyder; Song Lai; Michael S Okun; David E Vaillancourt Journal: Brain Date: 2015-05-16 Impact factor: 13.501
Authors: Danna Jennings; Andrew Siderowf; Matthew Stern; John Seibyl; Shirley Eberly; David Oakes; Kenneth Marek Journal: JAMA Neurol Date: 2017-08-01 Impact factor: 18.302
Authors: Bernard Ravina; Kenneth Marek; Shirley Eberly; David Oakes; Roger Kurlan; Alberto Ascherio; Flint Beal; James Beck; Emily Flagg; Wendy R Galpern; Jennifer Harman; Anthony E Lang; Michael Schwarzschild; Caroline Tanner; Ira Shoulson Journal: Mov Disord Date: 2012-09-13 Impact factor: 10.338
Authors: Anna De Rosa; Claudia Carducci; Carla Carducci; Silvio Peluso; Maria Lieto; Andrea Mazzella; Francesco Saccà; Vincenzo Brescia Morra; Sabina Pappatà; Vincenzo Leuzzi; Giuseppe De Michele Journal: J Neurol Date: 2014-09-03 Impact factor: 4.849
Authors: Kenneth Marek; John Seibyl; Shirley Eberly; David Oakes; Ira Shoulson; Anthony E Lang; Chris Hyson; Danna Jennings Journal: Neurology Date: 2014-04-23 Impact factor: 9.910
Authors: Ralph Buchert; Carsten Buhmann; Ivayla Apostolova; Philipp T Meyer; Jürgen Gallinat Journal: Dtsch Arztebl Int Date: 2019-11-01 Impact factor: 5.594
Authors: Michelle E Fullard; Sharon X Xie; Ken Marek; Matthew Stern; Danna Jennings; Andrew Siderowf; Allison W Willis; Alice S Chen-Plotkin Journal: Mov Disord Date: 2017-09-14 Impact factor: 10.338