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

Whiting, Penny; Harbord, Roger; Main, Caroline; Deeks, Jonathan J; Filippini, Graziella; Egger, Matthias; Sterne, Jonathan A C (2006). Accuracy of magnetic resonance imaging for the diagnosis of multiple sclerosis: systematic review. BMJ, 332(7546), pp. 875-884. London: BMJ Publishing Group 10.1136/bmj.38771.583796.7C

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OBJECTIVE: To determine the accuracy of magnetic resonance imaging criteria for the 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) were 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 and lower estimates of sensitivity. Only two such studies followed patients for more than 10 years. Even in the presence of many lesions (> 10 or > 8), magnetic resonance imaging could not accurately rule multiple sclerosis in (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:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine

UniBE Contributor:

Egger, Matthias and Sterne, Jonathan

ISSN:

1756-1833

ISBN:

16565096

Publisher:

BMJ Publishing Group

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:48

Last Modified:

28 Oct 2016 13:52

Publisher DOI:

10.1136/bmj.38771.583796.7C

PubMed ID:

16565096

Web of Science ID:

000237132100013

URI:

https://boris.unibe.ch/id/eprint/20084 (FactScience: 3202)

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