Insights from magnetic resonance imaging

Massimo Filippi, Arnaud Charil, Marco Rovaris, Martina Absinta, Maria Assunta Rocca

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Recent years have witnessed impressive advancements in the use of magnetic resonance imaging (MRI) for the assessment of patients with multiple sclerosis (MS). Complementary to the clinical evaluation, conventional MRI (cMRI) provides crucial pieces of information for the diagnosis of MS, the understanding of its natural history, and monitoring the efficacy of experimental treatments. Measures derived from cMRI present clear advantages over the clinical assessment, including their more objective nature and an increased sensitivity to MS-related changes. However, the correlation between these measures and the clinical manifestations of the disease remains weak, and this can be explained, at least partially, by the limited ability of cMRI to characterize and quantify the heterogeneous features of MS pathology. Quantitative MR-based techniques have the potential to overcome the limitations of cMRI. Magnetization transfer MRI, diffusion-weighted and diffusion tensor MRI with fiber tractography, proton magnetic resonance spectroscopy, T1 and T2 relaxation time measurement, and functional MRI are contributing to elucidate the mechanisms that underlie injury, repair, and functional adaptation in patients with MS. All conventional and nonconventional MR techniques will benefit from the use of high-field MR systems (3.0. T or more).

Original languageEnglish (US)
Title of host publicationHandbook of Clinical Neurology
PublisherElsevier B.V.
Pages115-149
Number of pages35
DOIs
StatePublished - 2014
Externally publishedYes

Publication series

NameHandbook of Clinical Neurology
Volume122
ISSN (Print)0072-9752

Keywords

  • Diffusion tensor imaging
  • Functional MRI
  • High-field MRI
  • MRI
  • Magnetic resonance imaging
  • Magnetic resonance spectroscopy
  • Magnetization transfer imaging

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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