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MRI criteria for MS in patients with clinically isolated syndromes
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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“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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Cites
Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria
Polman, C. H., Reingold, S. C., Banwell, B., Clanet, M., Cohen, J. A., Filippi, M., Fujihara, K., Havrdova, E., Hutchinson, M., Kappos, L., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22366 · Cited by 9,802
Self-citationNew diagnostic criteria for multiple sclerosis: Guidelines for research protocols
Poser, C. M., Paty, D. W., Scheinberg, L., McDonald, W. I., Davis, F. A., Ebers, G. C., Johnson, K. P., Sibley, W. A., Silberberg, D. H., & Tourtellotte, W. W. (1983) · Annals of Neurology · doi:10.1002/ana.410130302 · Cited by 7,384
McDonald, W. I., Compston, A., Edan, G., Goodkin, D., Hartung, H., Lublin, F. D., McFarland, H. F., Paty, D. W., Polman, C. H., Reingold, S. C., et al. (2001) · Annals of Neurology · doi:10.1002/ana.1032 · Cited by 6,969
Self-citationDiagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”
Polman, C. H., Reingold, S. C., Edan, G., Filippi, M., Hartung, H., Kappos, L., Lublin, F. D., Metz, L. M., McFarland, H. F., O'Connor, P. W., et al. (2005) · Annals of Neurology · doi:10.1002/ana.20703 · Cited by 5,017
Self-citationBarkhof, F. (1997) · Brain · doi:10.1093/brain/120.11.2059 · Cited by 1,251
Self-citationFisniku, L. K., Brex, P. A., Altmann, D. R., Miszkiel, K. A., Benton, C. E., Lanyon, R., Thompson, A. J., & Miller, D. H. (2008) · Brain · doi:10.1093/brain/awm329 · Cited by 897
Self-citationDifferential diagnosis of suspected multiple sclerosis: a consensus approach
Miller, D., Weinshenker, B., Filippi, M., Banwell, B., Cohen, J., Freedman, M., Galetta, S., Hutchinson, M., Johnson, R., Kappos, L., et al. (2008) · Multiple Sclerosis Journal · doi:10.1177/1352458508096878 · Cited by 642
Self-citationPaty, D. W., Oger, J. J.-F., Kastrukoff, L. F., Hashimoto, S. A., Hooge, J. P., Eisen, A., Eisen, K., Purves, S., Low, M. D., Brandejs, V., et al. (1988) · Neurology · doi:10.1212/wnl.38.2.180 · Cited by 635
Tintoré, M., Rovira, À., Martinez, M. J., Río, J., Villoslada, P., Brieva, L., Borrás, C., Grivé, E., Capellades, J., & Montalbán, X. (2000) · PubMed Central · Cited by 419
Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology.
Geurts, J. J. G., Bø, L., Pouwels, P. J. W., Castelijns, J. A., Polman, C. H., & Barkhof, F. (2005) · PubMed Central · Cited by 402
Self-citation
Research works printed but not linked: 1
- Rovira A, Swanton JK, Tintoré M, et al. A single, early MRI scan for diagnosing multiple sclerosis. Arch Neurol 2009;66:587–592.
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Metadata
- 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)
- ORCID
- 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 › Clinical Neurology › 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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