Conventional MRI in multiple sclerosis

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

During the past 10 years, conventional magnetic resonance imaging (cMRI) has become an established tool for the assessment of patients with multiple sclerosis (MS) and to monitor treatment trials. This is mainly due to the sensitivity and reproducibility of cMRI in the detection of MS-related damage. A large effort has also been devoted to develop imaging strategies capable of providing accurate estimates of the extent of disease-related damage not only in the brain, but also in the spinal cord and optic nerve. Guidelines have been defined to integrate MR findings in the diagnostic evaluation of patients at presentation with clinically isolated syndromes suggestive of MS, and specific acquisition protocols have been offered for monitoring longitudinal changes in patients with established disease. Despite the fact that the role of cMRI in MS has been profoundly obviated by the advent of modern and quantitative MR techniques, several issues are still unresolved. Technical development in acquisition and postprocessing, as well as the introduction of high-field magnets in the clinical arena, are likely to increase our understanding of disease pathobiology, mainly through an increased ability to quantify the extent of gray matter damage.

Original languageEnglish
JournalJournal of Neuroimaging
Volume17
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Apr 2007

Fingerprint

Multiple Sclerosis
Magnetic Resonance Imaging
Spinal Nerves
Magnets
Optic Nerve
Spinal Cord
Guidelines
Brain
Therapeutics

Keywords

  • Clinical correlates
  • Diagnosis
  • Magnetic resonance imaging
  • Multiple sclerosis
  • T1-weighted lesions
  • T2-weighted lesions

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology
  • Neuroscience(all)
  • Radiological and Ultrasound Technology

Cite this

Conventional MRI in multiple sclerosis. / Filippi, Massimo; Rocca, Maria A.

In: Journal of Neuroimaging, Vol. 17, No. SUPPL. 1, 04.2007.

Research output: Contribution to journalArticle

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