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| Comparison of MRI criteria at first presentation to predict conversion to clinically definite multiple sclerosis |
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| Author(s): Barkhof F, Filippi M, Miller DH, Scheltens P, Campi A, Polman CH, Comi G, Ader HJ, Losseff N, Valk J |
| Source: BRAIN Volume: 120 Pages: 2059-2069 Part: Part 11 Published: NOV 1997 |
| Times Cited: 438 References: 42 |
| 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 juxtacortical lesions), but three for periventricular lesions, and nine for the total number of T-2-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. |
| Document Type: Article |
| Language: English |
| Reprint Address: Barkhof, F (reprint author), FREE UNIV AMSTERDAM HOSP, DEPT DIAGNOST RADIOL, MR CTR MS RES, POB 7057, NL-1007 MB AMSTERDAM, NETHERLANDS |
Addresses:
1. FREE UNIV AMSTERDAM HOSP, DEPT NEUROL, NL-1007 MB AMSTERDAM, NETHERLANDS
2. FREE UNIV AMSTERDAM, FAC MED, DEPT EPIDEMIOL & BIOSTAT, NL-1081 HV AMSTERDAM, NETHERLANDS
3. HOSP SAN RAFFAELE, DEPT NEUROL, I-20132 MILAN, ITALY
4. HOSP SAN RAFFAELE, DEPT NEURORADIOL, I-20132 MILAN, ITALY
5. INST NEUROL, NMR RES UNIT, LONDON WC1N 3BG, ENGLAND |
| Publisher: OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD, ENGLAND OX2 6DP |
| Subject Category: Clinical Neurology; Neurosciences |
| IDS Number: YJ714 |
| ISSN: 0006-8950 |
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