Comparison of MRI criteria at first presentation to predict conversion to clinically definite multiple sclerosis
- PMID: 9397021
- DOI: 10.1093/brain/120.11.2059
Comparison of MRI criteria at first presentation to predict conversion to clinically definite multiple sclerosis
Abstract
We compared MRI criteria used to predict conversion of suspected multiple sclerosis to clinically definite multiple sclerosis. Seventy-four patients with clinically isolated neurological symptoms suggestive of multiple sclerosis were studied with MRI. Logistic regression analysis was used to remove redundant information, and a diagnostic model was built after each MRI parameter was dichotomized according to maximum accuracy using receiver operating characteristic analysis. Clinically definite multiple sclerosis developed in 33 patients (prevalence 45%). The optimum cut-off point (number of lesions) was one for most MRI criteria (including gadolinium-enhancement and juxta-cortical lesions), but three for periventricular lesions, and nine for the total number of T2-lesions. Only gadolinium-enhancement and juxta-cortical lesions provided independent information. A final model which, in addition, included infratentorial and periventricular lesions, had an accuracy of 80%, and having more abnormal criteria, predicted conversion to clinically definite multiple sclerosis strongly. The model performed better than the criteria of Paty et al. (Neurology 1988; 38: 180-5) and of Fazekas et al. (Neurology 1988; 38: 1822-5). We concluded that a four-parameter dichotomized MRI model including gadolinium-enhancement, juxtacortical, infratentorial and periventricular lesions best predicts conversion to clinically definite multiple sclerosis.
Similar articles
-
[Sensitivity of criteria for MRI interpretation in patients with multiple sclerosis].Srp Arh Celok Lek. 1997 Jan-Feb;125(1-2):14-8. Srp Arh Celok Lek. 1997. PMID: 17974350 Serbian.
-
Isolated demyelinating syndromes: comparison of different MR imaging criteria to predict conversion to clinically definite multiple sclerosis.AJNR Am J Neuroradiol. 2000 Apr;21(4):702-6. AJNR Am J Neuroradiol. 2000. PMID: 10782781 Free PMC article.
-
Prediction of a multiple sclerosis diagnosis in patients with clinically isolated syndrome using the 2016 MAGNIMS and 2010 McDonald criteria: a retrospective study.Lancet Neurol. 2018 Feb;17(2):133-142. doi: 10.1016/S1474-4422(17)30469-6. Epub 2017 Dec 21. Lancet Neurol. 2018. PMID: 29275979
-
[Diagnostic criteria of multiple sclerosis in neuroimaging].Rev Neurol (Paris). 2001 Sep;157(8-9 Pt 2):949-62. Rev Neurol (Paris). 2001. PMID: 11787360 Review. French.
-
The role of magnetic resonance techniques in understanding and managing multiple sclerosis.Brain. 1998 Jan;121 ( Pt 1):3-24. doi: 10.1093/brain/121.1.3. Brain. 1998. PMID: 9549485 Review.
Cited by
-
Ultrafast Brain MRI at 3 T for MS: Evaluation of a 51-Second Deep Learning-Enhanced T2-EPI-FLAIR Sequence.Diagnostics (Basel). 2024 Aug 23;14(17):1841. doi: 10.3390/diagnostics14171841. Diagnostics (Basel). 2024. PMID: 39272626 Free PMC article.
-
Assessing the visual afferent pathway with the multifocal visual evoked potentials in the radiologically isolated syndrome.Sci Rep. 2024 Aug 30;14(1):20169. doi: 10.1038/s41598-024-68825-6. Sci Rep. 2024. PMID: 39215058 Free PMC article.
-
A Case of Balo Concentric Sclerosis: A Multiple Sclerosis Mimic.Cureus. 2024 Aug 17;16(8):e67076. doi: 10.7759/cureus.67076. eCollection 2024 Aug. Cureus. 2024. PMID: 39156999 Free PMC article.
-
Improving criteria for dissemination in space in multiple sclerosis by including additional regions.Ann Clin Transl Neurol. 2024 Oct;11(10):2572-2582. doi: 10.1002/acn3.52170. Epub 2024 Jul 30. Ann Clin Transl Neurol. 2024. PMID: 39078773 Free PMC article.
-
Radiologically isolated syndromes: to treat or not to treat?J Neurol. 2024 May;271(5):2370-2378. doi: 10.1007/s00415-024-12294-4. Epub 2024 Mar 19. J Neurol. 2024. PMID: 38502339 Review.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical