Characterization of multiple sclerosis neuroinflammation and neurodegeneration with relaxation and diffusion basis spectrum imaging

Irene M. Vavasour, Peng Sun, Carina Graf, Jackie T. Yik, Shannon H. Kolind, David K.B. Li, Roger Tam, Ana Luiza Sayao, Alice Schabas, Virginia Devonshire, Robert Carruthers, Anthony Traboulsee, GR Wayne Moore, Sheng Kwei Song, Cornelia Laule

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: Advanced magnetic resonance imaging (MRI) methods can provide more specific information about various microstructural tissue changes in multiple sclerosis (MS) brain. Quantitative measurement of T1 and T2 relaxation, and diffusion basis spectrum imaging (DBSI) yield metrics related to the pathology of neuroinflammation and neurodegeneration that occurs across the spectrum of MS. Objective: To use relaxation and DBSI MRI metrics to describe measures of neuroinflammation, myelin and axons in different MS subtypes. Methods: 103 participants (20 clinically isolated syndrome (CIS), 33 relapsing-remitting MS (RRMS), 30 secondary progressive MS and 20 primary progressive MS) underwent quantitative T1, T2, DBSI and conventional 3T MRI. Whole brain, normal-appearing white matter, lesion and corpus callosum MRI metrics were compared across MS subtypes. Results: A gradation of MRI metric values was seen from CIS to RRMS to progressive MS. RRMS demonstrated large oedema-related differences, while progressive MS had the most extensive abnormalities in myelin and axonal measures. Conclusion: Relaxation and DBSI-derived MRI measures show differences between MS subtypes related to the severity and composition of underlying tissue damage. RRMS showed oedema, demyelination and axonal loss compared with CIS. Progressive MS had even more evidence of increased oedema, demyelination and axonal loss compared with CIS and RRMS.

Original languageEnglish
Pages (from-to)418-428
Number of pages11
JournalMultiple Sclerosis Journal
Volume28
Issue number3
DOIs
StatePublished - Mar 2022

Keywords

  • T relaxation
  • T relaxation
  • brain
  • diffusion basis spectrum imaging
  • multiple sclerosis

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