Relevance of the skewness index in DTI exploration of multiple sclerosis

MAGMA. 2009 Apr;22(2):89-100. doi: 10.1007/s10334-008-0149-8. Epub 2008 Nov 8.

Abstract

Object: To this day, no parameter can really monitor the progression of multiple sclerosis (MS). In this study, an index the skewness (S) derived from parameters calculated in diffusion tensor imaging (DTI) has been tested on MS patients for its ability to monitor the disease course.

Materials and methods: Eighteen patients underwent two examinations within 3 months consisting of a clinical evaluation (EDSS) and DTI acquisitions on a 1.5 T imager. Tensor was calculated thanks to"home-made" software. Mean diffusivity (MD) and fractional anisotropy (FA) histograms were described for normal-appearing white matter (NAWM) and gray matter (GM) of patients with S and also with usually indices peak position (pp) and peak height (ph) for the whole group of patients and for two separate groups according to their clinical status (EDSS < or = 3 and EDSS > 3 at month 0).

Results: Although no significant clinical evolution is observed over 3 months, S in GM showed a significant shift for both MD/FA histograms towards abnormal values for the whole group of patients (p = 0.02/p = 0.04) and for the group with EDSS </= 3 (p = 0.04/p = 0.007), while ph and pp do not.

Conclusion: S in GM could be an alternative marker to monitor the disease course before the repercussion on the clinical score.

MeSH terms

  • Adult
  • Algorithms*
  • Diffusion Magnetic Resonance Imaging / methods*
  • Female
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Male
  • Multiple Sclerosis / pathology*
  • Nerve Fibers, Myelinated / pathology*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Subtraction Technique*