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Accuracy of magnetic resonance imaging for the diagnosis of multiple sclerosis: systematic review

Whiting, P., Harbord, R., Main, C., Deeks, J.J., Filippini, G., Egger, M. and Sterne, J.A.C. (2006) Accuracy of magnetic resonance imaging for the diagnosis of multiple sclerosis: systematic review. BMJ, 332 (7546). pp. 875-878. ISSN 0959-8146

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Abstract

Objective: To determine the accuracy of magnetic resonance imaging criteria for die early diagnosis of multiple sclerosis in patients with suspected disease.

Design: Systematic review.

Data sources: 12 electronic databases, citation searches, and reference lists of included studies. Review methods Studies on accuracy of diagnosis that compared magnetic resonance imaging, or diagnostic criteria incorporating such imaging, to a reference standard for the diagnosis of multiple sclerosis.

Results: 29 Studies (18 cohort studies, 11 other designs) wee included. On average, studies of other designs (mainly diagnostic case-control studies) produced higher estimated diagnostic odds ratios than did cohort studies. Among 15 studies of higher methodological quality (cohort design, clinical follow-up as reference standard), those with longer follow-up produced higher estimates of specificity mid lower estimates of sensitivity Only two such studies followed patients for more than 10 years. Even in die presence of many lesions (> 10 or >8), magnetic resonance imaging could not accurately rule in multiple sclerosis (likelihood ratio of a positive test result 3.0 and 2.0, respectively). Similarly, the absence of lesions was Of limited utility in ruling out a diagnosis of multiple sclerosis (likelihood ratio of a negative test result 0.1 and 0.5).

Conclusions: Many evaluations of the accuracy of magnetic resonance imaging for the early detection of multiple sclerosis have produced inflated estimates of test performance owing to methodological weaknesses. Use of magnetic resonance imaging to confirm multiple sclerosis on the basis of a single attack of neurological dysfunction may lead to over-diagnosis and over-treatment.

Item Type: Article
Institution: The University of York
Academic Units: The University of York > Centre for Reviews and Dissemination (York)
Depositing User: Repository Officer
Date Deposited: 12 Nov 2008 10:16
Last Modified: 12 Nov 2008 10:16
Published Version: http://dx.doi.org/10.1136/bmj.38771.583796.7C
Status: Published
Publisher: BMJ Publishing
Refereed: Yes
Identification Number: 10.1136/bmj.38771.583796.7C
URI: http://eprints.whiterose.ac.uk/id/eprint/4838

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