Voxel-based assessment of differences in damage and distribution of white matter lesions between patients with

Carol Di Perri1, Marco Battaglini, Maria L Stromillo

  • 1Neurology and Neurometabolic Unit, Department of Neurological and Behavioral Sciences, University of Siena, Viale Bracci 2, 53100 Siena, Italy.

Archives of Neurology
|February 13, 2008
PubMed
Abstract

Insights

Primary progressive multiple sclerosis (PPMS) shows greater lesion volume and distinct spatial distribution compared to relapsing-remitting MS (RRMS). These differences in brain pathology correlate with increased clinical disability in PPMS patients.

Area of Science:

  • Neuroimaging
  • Neurology
  • Multiple Sclerosis Pathophysiology

Background:

  • Studies indicate less focal demyelination and inflammation in primary progressive multiple sclerosis (PPMS) versus relapsing-remitting multiple sclerosis (RRMS).
  • Limited knowledge exists regarding differences in lesion damage and distribution between PPMS and RRMS.

Purpose of the Study:

  • To compare the spatial distribution and structural damage of focal demyelinating lesions in PPMS and RRMS patients.
  • To investigate MRI-based differences in lesion characteristics between the two major forms of multiple sclerosis.

Main Methods:

  • Conventional MRI and magnetization transfer imaging were used in 24 PPMS, 36 RRMS patients, and 23 controls.
  • T2- and T1-weighted lesion volumes and magnetization transfer ratios were measured.
  • Spatial distribution was analyzed using lesion probability maps and voxel-based procedures.

Main Results:

  • PPMS patients exhibited greater disability and higher T1- and T2-weighted lesion volumes than RRMS patients.
  • Lesion probability maps revealed a higher peak probability in PPMS, predominantly in the corona radiata.
  • Voxelwise analysis of lesional magnetization transfer ratios supported these findings.

Conclusions:

  • Significant differences in cerebral pathological involvement are present between RRMS and PPMS.
  • These pathological variations contribute to the observed differences in clinical disability between the two multiple sclerosis subtypes.