Literature DB >> 16565096

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

Penny Whiting1, Roger Harbord, Caroline Main, Jonathan J Deeks, Graziella Filippini, Matthias Egger, Jonathan A C Sterne.   

Abstract

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.

Entities:  

Mesh:

Year:  2006        PMID: 16565096      PMCID: PMC1479850          DOI: 10.1136/bmj.38771.583796.7C

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


  28 in total

Review 1.  Development and validation of methods for assessing the quality of diagnostic accuracy studies.

Authors:  P Whiting; A W S Rutjes; J Dinnes; J Reitsma; P M M Bossuyt; J Kleijnen
Journal:  Health Technol Assess       Date:  2004-06       Impact factor: 4.014

Review 2.  Diagnostic tests 4: likelihood ratios.

Authors:  Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2004-07-17

3.  The predictive value of intrathecal immunoglobulin synthesis and magnetic resonance imaging in acute isolated syndromes for subsequent development of multiple sclerosis.

Authors:  M K Sharief; E J Thompson
Journal:  Ann Neurol       Date:  1991-02       Impact factor: 10.422

4.  Empirical Bayes estimates generated in a hierarchical summary ROC analysis agreed closely with those of a full Bayesian analysis.

Authors:  Petra Macaskill
Journal:  J Clin Epidemiol       Date:  2004-09       Impact factor: 6.437

5.  The early risk of multiple sclerosis after optic neuritis.

Authors:  D H Miller; I E Ormerod; W I McDonald; D G MacManus; B E Kendall; D P Kingsley; I F Moseley
Journal:  J Neurol Neurosurg Psychiatry       Date:  1988-12       Impact factor: 10.154

Review 6.  Diagnosis and classification of multiple sclerosis.

Authors:  W I McDonald; A M Halliday
Journal:  Br Med Bull       Date:  1977-01       Impact factor: 4.291

7.  New diagnostic criteria for multiple sclerosis: guidelines for research protocols.

Authors:  C M Poser; D W Paty; L Scheinberg; W I McDonald; F A Davis; G C Ebers; K P Johnson; W A Sibley; D H Silberberg; W W Tourtellotte
Journal:  Ann Neurol       Date:  1983-03       Impact factor: 10.422

8.  Effect of diagnostic testing for multiple sclerosis on patient health perceptions. Rochester-Toronto MRI Study Group.

Authors:  P O'Connor; A S Detsky; C Tansey; W Kucharczyk
Journal:  Arch Neurol       Date:  1994-01

9.  The value of diagnostic information to patients with suspected multiple sclerosis. Rochester-Toronto MRI Study Group.

Authors:  A I Mushlin; C Mooney; V Grow; C E Phelps
Journal:  Arch Neurol       Date:  1994-01

10.  The accuracy of magnetic resonance imaging in patients with suspected multiple sclerosis. The Rochester-Toronto Magnetic Resonance Imaging Study Group.

Authors:  A I Mushlin; A S Detsky; C E Phelps; P W O'Connor; D K Kido; W Kucharczyk; D W Giang; C Mooney; C M Tansey; W J Hall
Journal:  JAMA       Date:  1993 Jun 23-30       Impact factor: 56.272

View more
  20 in total

1.  Brain metabolite proton T2 mapping at 3.0 T in relapsing-remitting multiple sclerosis.

Authors:  Ivan I Kirov; Songtao Liu; Roman Fleysher; Lazar Fleysher; James S Babb; Joseph Herbert; Oded Gonen
Journal:  Radiology       Date:  2010-03       Impact factor: 11.105

2.  Medical academia is failing patients and clinicians.

Authors:  Peter M Rothwell
Journal:  BMJ       Date:  2006-04-15

3.  Role of MRI in diagnosing multiple sclerosis: early diagnosis using MRI and early treatment delays disease conversion.

Authors:  Bharani Padmanabhan
Journal:  BMJ       Date:  2006-04-29

4.  Role of MRI in diagnosing multiple sclerosis: magnetic resonance imaging is valuable.

Authors:  David H Miller
Journal:  BMJ       Date:  2006-04-29

5.  Evidence-based neuroradiology: a necessity.

Authors:  Philippe Demaerel
Journal:  Neuroradiology       Date:  2007-07-10       Impact factor: 2.804

Review 6.  Misdiagnosis of multiple sclerosis: frequency, causes, effects, and prevention.

Authors:  Andrew J Solomon; Brian G Weinshenker
Journal:  Curr Neurol Neurosci Rep       Date:  2013-12       Impact factor: 5.081

7.  Systematic reviews of diagnostic test accuracy.

Authors:  Mariska M G Leeflang; Jonathan J Deeks; Constantine Gatsonis; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2008-12-16       Impact factor: 25.391

8.  PCR using blood for diagnosis of invasive pneumococcal disease: systematic review and meta-analysis.

Authors:  Tomer Avni; Nariman Mansur; Leonard Leibovici; Mical Paul
Journal:  J Clin Microbiol       Date:  2009-12-09       Impact factor: 5.948

9.  The chemokine CXCL13 is a prognostic marker in clinically isolated syndrome (CIS).

Authors:  Johannes Brettschneider; Anne Czerwoniak; Makbule Senel; Lubin Fang; Jan Kassubek; Elmar Pinkhardt; Florian Lauda; Tamara Kapfer; Sarah Jesse; Vera Lehmensiek; Albert C Ludolph; Markus Otto; Hayrettin Tumani
Journal:  PLoS One       Date:  2010-08-05       Impact factor: 3.240

10.  IgG antibodies against measles, rubella, and varicella zoster virus predict conversion to multiple sclerosis in clinically isolated syndrome.

Authors:  Johannes Brettschneider; Hayrettin Tumani; Ulrike Kiechle; Rainer Muche; Gayle Richards; Vera Lehmensiek; Albert C Ludolph; Markus Otto
Journal:  PLoS One       Date:  2009-11-05       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.