Quantification of diagnostic biomarkers to detect multiple sclerosis lesions employing (1)H-MRSI at 3T

Australas Phys Eng Sci Med. 2015 Dec;38(4):611-8. doi: 10.1007/s13246-015-0390-1. Epub 2015 Nov 2.

Abstract

Proton magnetic resonance spectroscopic imaging ((1)H-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 (1)H-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 R (2) 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.

Keywords: 1H-MRSI; ECC; MRS; Metabolite; Multiple sclerosis; Subtract-QUEST-MRSI.

MeSH terms

  • Adult
  • Aged
  • Aspartic Acid / analogs & derivatives
  • Aspartic Acid / analysis
  • Biomarkers / analysis*
  • Brain / metabolism
  • Brain Chemistry*
  • Choline / analysis
  • Creatine / analysis
  • Female
  • Glutathione / analysis
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Male
  • Middle Aged
  • Multiple Sclerosis / diagnosis*
  • Multiple Sclerosis / metabolism*

Substances

  • Biomarkers
  • Aspartic Acid
  • N-acetylaspartate
  • Glutathione
  • Creatine
  • Choline