BACKGROUND AND PURPOSE: The differential diagnosis of Parkinson syndromes remains a major challenge. Quantitative MR imaging can aid in this classification, but it is unclear which of the proposed techniques is best suited for this task. We, therefore, conducted a head-to-head study with different quantitative MR imaging measurements in patients with IPS, MSA-type Parkinson, PSP, and healthy elderly controls. MATERIALS AND METHODS: Thirty-one patients and 13 controls underwent a comprehensive quantitative MR imaging protocol including R2*-, R2- and R1-mapping, magnetization transfer, and DTI with manual region-of-interest measurements in basal ganglia regions. Group differences were assessed with a post hoc ANOVA with a Bonferroni error correction and an ROC. RESULTS: The best separation of MSA from IPS in patients and controls could be achieved with R2*-mapping in the PU, with an ROC AUC of ≤0.96, resulting in a sensitivity of 77.8% (with a specificity 100%). MD was increased in patients with PSP compared with controls and to a lesser extent compared with those with IPS and MSA in the SN. CONCLUSIONS: Among the applied quantitative MR imaging methods, R2*-mapping seems to have the best predictive power to separate patients with MSA from those with IPS, and DTI for identifying PSP.
BACKGROUND AND PURPOSE: The differential diagnosis of Parkinson syndromes remains a major challenge. Quantitative MR imaging can aid in this classification, but it is unclear which of the proposed techniques is best suited for this task. We, therefore, conducted a head-to-head study with different quantitative MR imaging measurements in patients with IPS, MSA-type Parkinson, PSP, and healthy elderly controls. MATERIALS AND METHODS: Thirty-one patients and 13 controls underwent a comprehensive quantitative MR imaging protocol including R2*-, R2- and R1-mapping, magnetization transfer, and DTI with manual region-of-interest measurements in basal ganglia regions. Group differences were assessed with a post hoc ANOVA with a Bonferroni error correction and an ROC. RESULTS: The best separation of MSA from IPS in patients and controls could be achieved with R2*-mapping in the PU, with an ROC AUC of ≤0.96, resulting in a sensitivity of 77.8% (with a specificity 100%). MD was increased in patients with PSP compared with controls and to a lesser extent compared with those with IPS and MSA in the SN. CONCLUSIONS: Among the applied quantitative MR imaging methods, R2*-mapping seems to have the best predictive power to separate patients with MSA from those with IPS, and DTI for identifying PSP.
Authors: I Litvan; Y Agid; D Calne; G Campbell; B Dubois; R C Duvoisin; C G Goetz; L I Golbe; J Grafman; J H Growdon; M Hallett; J Jankovic; N P Quinn; E Tolosa; D S Zee Journal: Neurology Date: 1996-07 Impact factor: 9.910
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Authors: Mechelle M Lewis; Guangwei Du; Jennifer Baccon; Amanda M Snyder; Ben Murie; Felicia Cooper; Christy Stetter; Lan Kong; Christopher Sica; Richard B Mailman; James R Connor; Xuemei Huang Journal: Mov Disord Date: 2018-05-14 Impact factor: 10.338
Authors: Yiming Xiao; Vladimir S Fonov; Silvain Beriault; Ian Gerard; Abbas F Sadikot; G Bruce Pike; D Louis Collins Journal: Int J Comput Assist Radiol Surg Date: 2014-09-24 Impact factor: 2.924
Authors: Peggy J Planetta; Edward Ofori; Ofer Pasternak; Roxana G Burciu; Priyank Shukla; Jesse C DeSimone; Michael S Okun; Nikolaus R McFarland; David E Vaillancourt Journal: Brain Date: 2015-12-24 Impact factor: 13.501