| The value of conventional high-field MRI in MS in the light of the McDonald criteria: a literature review. | |
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MedLine Citation:
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PMID: 20597869 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The diagnosis of MS is based on the revised McDonald criteria and is multidisciplinary. Both clinical and paraclinical measures are included. High-field magnetic resonance imaging (MRI) is becoming increasingly available and it is therefore necessary to clarify possible advantages of high-field MRI in MS. The aim of this paper was to review MRI studies in MS where a direct comparison of MRI at high field with MRI at 1-1.5 tesla (T) had been performed. The studies evaluated were found by searching Pubmed with relevant terms including MeSH terms. The reviewed studies all found the conspicuity of lesions to be better at high field. Of the seven studies, six found more and bigger lesions at high-field MRI. In the present paper, the relevant MRI sequences are evaluated in detail. The detection of more lesions at high-field strength did not seem to lead to earlier diagnosis of clinically definite multiple sclerosis. Further larger studies of patients with clinically isolated syndromes are needed to settle the question of a diagnostic consequence of high-field imaging in MS. We suggest that the next revision of the McDonald diagnostic criteria include a recommendation of field strength. |
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Authors:
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L S Lunde Larsen; H B W Larsson; J L Frederiksen |
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Publication Detail:
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Type: Journal Article; Review Date: 2010-06-29 |
Journal Detail:
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Title: Acta neurologica Scandinavica Volume: 122 ISSN: 1600-0404 ISO Abbreviation: Acta Neurol. Scand. Publication Date: 2010 Sep |
Date Detail:
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Created Date: 2010-08-10 Completed Date: 2010-11-24 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0370336 Medline TA: Acta Neurol Scand Country: Denmark |
Other Details:
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Languages: eng Pagination: 149-58 Citation Subset: IM |
Affiliation:
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Optic Neuritis Research Department, Department of Neurology, University of Copenhagen, Glostrup Hospital, Denmark. sofielunde@dadlnet.dk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain
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pathology* Diagnosis, Differential Early Diagnosis Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging / methods*, standards* Multiple Sclerosis / diagnosis* PubMed / statistics & numerical data |
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