Quantitative diffusion tensor deterministic and probabilistic fiber tractography in relapsing-remitting multiple sclerosis

Eur J Radiol. 2011 Jul;79(1):101-7. doi: 10.1016/j.ejrad.2009.11.021. Epub 2009 Dec 29.

Abstract

Purpose: Our aim was to study the quantitative fiber tractography variations and patterns in patients with relapsing-remitting multiple sclerosis (RRMS) and to assess the correlation between quantitative fiber tractography and Expanded Disability Status Scale (EDSS).

Material and methods: Twenty-eight patients with RRMS and 28 age-matched healthy volunteers underwent a diffusion tensor MR imaging study. Quantitative deterministic and probabilistic fiber tractography were generated in all subjects. And mean numbers of tracked lines and fiber density were counted. Paired-samples t tests were used to compare tracked lines and fiber density in RRMS patients with those in controls. Bivariate linear regression model was used to determine the relationship between quantitative fiber tractography and EDSS in RRMS.

Results: Both deterministic and probabilistic tractography's tracked lines and fiber density in RRMS patients were less than those in controls (P<.001). Both deterministic and probabilistic tractography's tracked lines and fiber density were found negative correlations with EDSS in RRMS (P<.001). The fiber tract disruptions and reductions in RRMS were directly visualized on fiber tractography.

Conclusion: Changes of white matter tracts can be detected by quantitative diffusion tensor fiber tractography, and correlate with clinical impairment in RRMS.

MeSH terms

  • Adult
  • Case-Control Studies
  • Diffusion Tensor Imaging / methods*
  • Female
  • Humans
  • Image Interpretation, Computer-Assisted
  • Linear Models
  • Male
  • Middle Aged
  • Multiple Sclerosis, Relapsing-Remitting / pathology*
  • Nerve Fibers, Myelinated / pathology*
  • Software
  • Statistics, Nonparametric