Cited by 252Multiple Sclerosis Research StudiesClinical Reasoning and Diagnostic SkillsPolyomavirus and related diseases

MRI criteria for MS in patients with clinically isolated syndromes

Montalban, X., Tintoré, M., Swanton, J., Barkhof, F., Fazekas, F., Filippi, M., Frederiksen, J., Kappos, L. +8 more·2010·Neurology

Abstract

In recent years, criteria for the diagnosis of multiple sclerosis (MS) have changed, mainly due to the incorporation of new MRI criteria. While the new criteria are a logical step forward, they are complex and-not surprisingly-a good working knowledge of them is not always evident among neurologists and neuroradiologists. In some circumstances, several MRI examinations are needed to achieve an accurate and prompt diagnosis. This provides an incentive for continued efforts to refine the incorporation of MRI-derived information into the diagnostic workup of patients presenting with a clinically isolated syndrome. Within the European multicenter collaborative research network that studies MRI in MS (MAGNIMS), a workshop was held in London in November 2007 to review information that may simplify the existing MS diagnostic criteria, while maintaining a high specificity that is essential to minimize false positive diagnoses. New data that are now published were reviewed and discussed and together with a new proposal are integrated in this position paper.

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Crossref · 10.1212/wnl.0b013e3181cec45c

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  • MRI criteria were tested and validated in European populations with a high incidence of MS, although recent studies investigating the McDonald 2010 criteria in CIS cohorts in Latin America and Asia have reported a similarly good performance.

    “Secondly, MRI criteria were tested and validated in European populations with a high incidence of MS 25 , although recent studies investigating the McDonald 2010 criteria in CIS cohorts in Latin America 26 and Asia 27 have reported a similarly good performance.”

    From Diagnosis of multiple sclerosis: progress and challenges (2017) · cites this paper as [25]

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Authors
Montalban, X., Tintoré, M., Swanton, J., Barkhof, F., Fazekas, F., Filippi, M., Frederiksen, J., Kappos, L., Palace, J., Polman, C., Rovaris, M., de Stefano, N., Thompson, A., Yousry, T., Rovira, A., & Miller, D. H.
Affiliations
  • From the Unit of Clinical Neuroimmunology (X.M., M.T., A.R.), Multiple Sclerosis Centre of Catalonia (CEMcat), and MR Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain; NMR Research Unit (J.S., A.T., T.Y., D.H.M.), Departments of Neuroinflammation and Brain Repair and Rehabilitation, Department of Neuroradiology, UCL, Institute of Neurology, Queen Square, London, UK; Departments of Neuroradiology and Neurology (F.B., C.P.), VU University Medical Centre, Amsterdam,...
  • Vall d'Hebron Hospital Universitari (ES)
  • Don Carlo Gnocchi Foundation (IT)
Venue
Neurology
Published
2010-02-02
Volume
74
Issue
5
Pages
427-434
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W2070855278
Cited by
252
References
36
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 5 · 2022: 8 · 2021: 8 · 2020: 4 · 2019: 7 · 2018: 16 · 2017: 16 · 2016: 28 · 2015: 17 · 2014: 27 · 2013: 29 · 2012: 39
FWCI
23.32
Type
journal article
Language
en
Open access
closed
Locations
  • Neurology (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
  • Use Siena air (University of Siena) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
  • Health Sciences › Medicine › Oncology › Polyomavirus and related diseases
Keywords
multiple sclerosis, clinically isolated syndrome, MRI diagnostic criteria, MS diagnosis, false-positive diagnosis, diagnostic specificity
MeSH terms
Diagnosis, Differential, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Multiple Sclerosis, Reference Standards, Sensitivity and Specificity, Syndrome, Time Factors, History, 20th Century, History, 21st Century

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