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Quantification of Diagnostic Biomarkers to Detect Multiple Sclerosis Lesions Employing 1H-Mrsi at 3T Publisher Pubmed



Vafaeyan H1, 2 ; Ebrahimzadeh SA3 ; Rahimian N4 ; Alavijeh SK1, 5 ; Madadi A1 ; Faeghi F2 ; Harirchian MH4 ; Rad HS1, 5
Authors
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Authors Affiliations
  1. 1. Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences (TUMS), Tehran, Iran
  2. 2. School of Para-Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran
  3. 3. Department of Radiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  4. 4. Iranian Center of Neurological Research, TUMS, Tehran, Iran
  5. 5. Medical Physics and Biomedical Engineering Department, TUMS, Keshavarz Boulevard, Tehran, Iran

Source: Australasian Physical and Engineering Sciences in Medicine Published:2015


Abstract

Proton magnetic resonance spectroscopic imaging (1H-MRSI) enables the quantification of metabolite concentration ratios in the brain. The major purpose of the current work is to characterize NAA/Cho, NAA/Cr and Myo/Cr in multiple sclerosis (MS) patients, and to estimate their reproducibility in healthy controls. Twelve MS patients and five healthy volunteers were imaged using 1H-MRSI at 3T. Eddy current correction was performed using a single-voxel non-water suppressed acquisition on an external water phantom. Time-domain quantification was carried out using subtract-QUEST technique, and based on an optimal simulated metabolite database. Reproducibility was evaluated on the same quantified ratios in five normal subjects. An optimal database was created for the quantification of the MRSI data, consisting of choline (Cho), creatine (Cr), N-acetyl aspartate (NAA), lactate (Lac), lipids, myo-inositol (Myo) and glutamine + glutamate (Glx). Decreasing of NAA/Cr and NAA/Cho ratios, as well as an increase in Myo/Cr ratio were observed for MS patients in comparison with control group. Reproducibility of NAA/Cr, NAA/Cho and Myo/Cr in control group was 0.98, 0.87 and 0.64, respectively, expressed as the squared correlation coefficient R2 between duplicate experiments. We showed that MRSI alongside the time-domain quantification of spectral ratios offers a sensitive and reproducible framework to differentiate MS patients from normals. © 2015, Australasian College of Physical Scientists and Engineers in Medicine.