• Magn Reson Imaging · Jun 2015

    Quantifying brain iron deposition in patients with Parkinson's disease using quantitative susceptibility mapping, R2 and R2.

    • Jeam Haroldo Oliveira Barbosa, Antonio Carlos Santos, Vitor Tumas, Manju Liu, Weili Zheng, E Mark Haacke, and SalmonCarlos Ernesto GarridoCEFaculdade de Filosofia, Ciências e Letras de Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil..
    • Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil. Electronic address: jeamharoldo@hotmail.com.
    • Magn Reson Imaging. 2015 Jun 1; 33 (5): 559-65.

    PurposeTo evaluate the sensitivity and specificity of quantitative magnetic resonance (MR) iron mapping including R2, R2* and magnetic susceptibility to differentiate patients with Parkinson's disease (PD) from healthy controls.Materials And MethodsThirty (30) healthy controls (HC) (64±7years old) and 20 patients with idiopathic PD (66±8years old) were studied using a 3T MR imaging scanner. R2 maps were generated from GRASE sequence while R2*, and quantitative susceptibility mapping (QSM) were obtained from a conventional multi-echo gradient-echo sequence. R2, R2* and relative susceptibility (Δχ) values of structures in the basal ganglia were measured for each patient and control. An analysis of sensitivity and specificity and unpaired t-test was applied to the two groups.ResultsA significant difference (p<0.05) was found for R2 and ∆χ values in the substantia nigra as a whole and in the pars compacta for PD patients. The R2* values were different significantly (p<0.05) only on the substantia nigra pars compacta. QSM presented the highest sensitivity and specificity to differentiate the two populations.ConclusionThe QSM map was the most sensitive quantitative technique for detecting a significant increase of iron for PD. The highest significant difference between controls and patients was found in the substantia nigra pars compacta using QSM.Copyright © 2015 Elsevier Inc. All rights reserved.

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