Investigation of grey matter abnormalities in multiple sclerosis patients by combined use of double inversion recovery sequences and diffusion tensor MRI at 3.0 Tesla

Clin Radiol. 2018 Sep;73(9):834.e17-834.e23. doi: 10.1016/j.crad.2018.04.016. Epub 2018 Jun 1.

Abstract

Aim: To investigate the grey matter abnormalities in multiple sclerosis (MS) patients by combined use of double inversion recovery (DIR) sequences and diffusion tensor (DTI) magnetic resonance imaging (MRI) at 3 T.

Materials and methods: Twenty relapsing-remitting MS (RRMS) patients and 20 healthy control were enrolled in this study. All participants underwent DIR and DTI MRI and completed the Mini-Mental State Examination (MMSE) and Expanded Disability Status Scale (EDSS). The cortical lesions and normal-appearing grey matter (NAGM) of the patient group, as well as the NAGM of the control group were quantitatively analysed using the DIR and DTI images. The average NAGM mean diffusion (MD) and fractional anisotropy (FA) values of the patient group and control group were measured and compared. The correlation between NAGM MD and FA values and the number of cortical lesions, cognitive impairment, as well as the degree of nerve damage were analysed.

Results: The NAGM of the patient group had average MD and FA values that were significantly different compared with the control group. In addition, the NAGM FA values of the MS patients were negatively correlated with the MMSE score, but positively correlated with the EDSS score. The NAGM MD values of the MS patients were also negatively correlated with the MMSE score, but positively correlated with the EDSS score.

Conclusions: The NAGM of MS patients has microstructural damages. The extent of such damage was correlated with the number of cortical lesions. The severity of the damage also correlated with increased severity of cognitive impairment and neural defects.

MeSH terms

  • Adult
  • Aged
  • Anisotropy
  • Case-Control Studies
  • Diffusion Tensor Imaging / methods*
  • Disability Evaluation
  • Female
  • Gray Matter / pathology*
  • Humans
  • Image Interpretation, Computer-Assisted
  • Male
  • Middle Aged
  • Multiple Sclerosis, Relapsing-Remitting / diagnostic imaging*
  • Multiple Sclerosis, Relapsing-Remitting / pathology*