Short-term evolution of spinal cord damage in multiple sclerosis: a diffusion tensor MRI study

M Théaudin1, G Saliou, B Ducot

  • 1Service de Neurologie Adultes, AP-HP, CHU Bicêtre, 78 rue du Général Leclerc, 94275 Le Kremlin-Bicêtre, France. marie.theaudin@bct.aphp.fr

Neuroradiology
|June 27, 2012
PubMed
Abstract

Insights

Diffusion tensor imaging (DTI) can detect spinal cord abnormalities in multiple sclerosis (MS) patients. Specific DTI parameters in lesions and normal-appearing spinal cord correlate with clinical improvement after treatment.

Area of Science:

  • Neuroimaging
  • Radiology
  • Neurology

Background:

  • Diffusion tensor imaging (DTI) shows potential for detecting spinal cord abnormalities in multiple sclerosis (MS).
  • Previous studies demonstrated DTI's capability in identifying MS-related spinal cord changes.

Purpose of the Study:

  • To apply DTI techniques to recently diagnosed spinal cord lesions in MS patients.
  • To correlate DTI parameter variations with clinical outcomes.
  • To identify DTI parameters predictive of patient outcomes.

Main Methods:

  • Prospective single-centre study design.
  • Inclusion of patients with recent spinal cord relapse treated with intravenous steroids.
  • Clinical assessment and MRI with DTI sequences at baseline and 3-month follow-up.

Main Results:

  • Sixteen patients were recruited; 12 showed clinical improvement at 3 months.
  • Most patients exhibited lower fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values.
  • Improved patients showed significant changes in radial diffusivity, ADC, axial diffusivity, and FA in lesions and normal-appearing spinal cord.
  • Higher baseline FA and lower radial diffusivity in lesions predicted better sensory score improvement.

Conclusions:

  • DTI MRI reveals more extensive spinal cord abnormalities than conventional T2 MRI.
  • Lessened decrease in FA and increased radial diffusivity within inflammatory lesions correlate with better clinical outcomes.
  • DTI parameters show promise in predicting treatment response in MS patients with spinal cord involvement.