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Multisequence MRI in clinically isolated syndromes and the early development of MS

P A Brex1, J I O'Riordan, K A Miszkiel

  • 1NMR Research Unit, Institute of Neurology, The National Hospital, London, UK.

Neurology
|October 16, 1999
PubMed
Abstract

Insights

Multisequence MRI can predict early Multiple Sclerosis (MS) development. New lesions on follow-up MRI and baseline enhancing lesions are key indicators for MS progression in clinically isolated syndromes.

Area of Science:

  • Neurology
  • Radiology
  • Neuroimaging

Background:

  • Disseminated T2-weighted brain MRI lesions increase the risk of developing clinically definite Multiple Sclerosis (MS).
  • Advanced MRI techniques enhance lesion detection in the brain and spinal cord, offering clearer pathological insights.
  • The predictive value of these advanced MRI techniques for early MS development requires definition.

Purpose of the Study:

  • To utilize multisequence MRI to identify patterns and frequencies of abnormalities in patients with clinically isolated syndromes.
  • To assess the predictive value of these MRI findings for the early onset of clinical MS.
  • To evaluate the role of MRI in diagnosing MS at an early stage.

Main Methods:

  • Brain and spinal MRI scans were performed on 60 patients post-first demyelinating event.
  • Fifty patients were followed for one year, with 49 undergoing repeat brain MRI at three months.
  • T2-weighted fast spin-echo (FSE) and fast fluid-attenuated inversion-recovery (FLAIR) brain MRI sequences were employed.

Main Results:

  • Baseline T2-weighted FSE brain MRI revealed lesions in 73% of patients; 42% had asymptomatic spinal cord lesions.
  • Repeat brain MRI showed new FSE lesions in 43% of patients within three months.
  • After one year, 26% of patients developed MS. The strongest predictors for MS development were new FSE lesions at follow-up and baseline enhancing lesions. Patients with both brain and spinal cord lesions at baseline had a higher MS development rate (48%) compared to those with brain lesions alone (18%).

Conclusions:

  • The combination of baseline MRI abnormalities and new lesions on follow-up MRI, indicating dissemination in space and time, demonstrated high sensitivity and specificity for predicting early clinical MS.
  • These findings suggest that early MRI activity could be incorporated into new diagnostic criteria for MS.
  • Such MRI-based criteria may aid in selecting appropriate patients for therapeutic trials during the early clinical phase of MS.

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