BACKGROUND: The McDonald International Panel accepted the Barkhof/Tintoré criteria for providing MRI evidence of dissemination in space to allow a diagnosis of multiple sclerosis in patients with clinically isolated syndromes (CIS). We applied these criteria in a large cohort of patients with CIS, representative of those seen in a general diagnostic setting, to assess their accuracy in predicting conversion to definite multiple sclerosis and to identify factors that affect this risk. METHODS: In a collaborative study of seven centres, baseline MRI and clinical follow-up data for 532 patients with CIS were studied, with the development of a second clinical event used as the main outcome. All scans were scored for lesion counts and spatial lesion distribution to assess the fulfilment--ie, at least three out of four--of the Barkhof/Tintoré criteria. We used survival analysis and 2x2 tables to assess the test characteristics of the criteria at baseline. FINDINGS: Overall conversion rate was 32.5% with a median survival time of 85.3 months. Fulfilment of the criteria at baseline showed, after a survival time of 2 years, a conversion rate of about 45% (95% CI 37-53) versus about 10% (6-16) in those with no asymptomatic lesions at baseline (p<0.0001). For patients with a follow-up of at least 2 years, the fulfilment of the MRI criteria showed an accuracy of 68% (sensitivity 49%, specificity 79%) for predicting conversion and an increase in risk of nearly four times for conversion compared with those not fulfilling the criteria (odds ratio 3.7, 95% CI 2.3-5.9; p<0.0001). Cox proportional hazards regression analysis accorded with this increased risk. No effects were recorded on the performance of the criteria by sex, presenting symptoms, or centre. Age at baseline did have a small but significant effect as predictor (hazard ratio 0.97, 0.95-0.99; p=0.002), but did not affect the prognostic value of the MRI criteria. INTERPRETATION: MRI abnormalities have important prognostic value. The cut-off, based on the Barkhof/Tintoré criteria, as incorporated in the McDonald diagnostic scheme yields acceptable specificity, but could have lower sensitivity than previously reported.
BACKGROUND: The McDonald International Panel accepted the Barkhof/Tintoré criteria for providing MRI evidence of dissemination in space to allow a diagnosis of multiple sclerosis in patients with clinically isolated syndromes (CIS). We applied these criteria in a large cohort of patients with CIS, representative of those seen in a general diagnostic setting, to assess their accuracy in predicting conversion to definite multiple sclerosis and to identify factors that affect this risk. METHODS: In a collaborative study of seven centres, baseline MRI and clinical follow-up data for 532 patients with CIS were studied, with the development of a second clinical event used as the main outcome. All scans were scored for lesion counts and spatial lesion distribution to assess the fulfilment--ie, at least three out of four--of the Barkhof/Tintoré criteria. We used survival analysis and 2x2 tables to assess the test characteristics of the criteria at baseline. FINDINGS: Overall conversion rate was 32.5% with a median survival time of 85.3 months. Fulfilment of the criteria at baseline showed, after a survival time of 2 years, a conversion rate of about 45% (95% CI 37-53) versus about 10% (6-16) in those with no asymptomatic lesions at baseline (p<0.0001). For patients with a follow-up of at least 2 years, the fulfilment of the MRI criteria showed an accuracy of 68% (sensitivity 49%, specificity 79%) for predicting conversion and an increase in risk of nearly four times for conversion compared with those not fulfilling the criteria (odds ratio 3.7, 95% CI 2.3-5.9; p<0.0001). Cox proportional hazards regression analysis accorded with this increased risk. No effects were recorded on the performance of the criteria by sex, presenting symptoms, or centre. Age at baseline did have a small but significant effect as predictor (hazard ratio 0.97, 0.95-0.99; p=0.002), but did not affect the prognostic value of the MRI criteria. INTERPRETATION: MRI abnormalities have important prognostic value. The cut-off, based on the Barkhof/Tintoré criteria, as incorporated in the McDonald diagnostic scheme yields acceptable specificity, but could have lower sensitivity than previously reported.
Authors: Jean-Christophe Corvol; Daniel Pelletier; Roland G Henry; Stacy J Caillier; Joanne Wang; Derek Pappas; Simona Casazza; Darin T Okuda; Stephen L Hauser; Jorge R Oksenberg; Sergio E Baranzini Journal: Proc Natl Acad Sci U S A Date: 2008-08-08 Impact factor: 11.205
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
Authors: Maria A Rocca; Federica Agosta; Maria P Sormani; Kryshani Fernando; Mar Tintorè; Tijmen Korteweg; Paola Tortorella; David H Miller; Alan Thompson; Alex Rovira; Xavier Montalban; Chris Polman; Frederik Barkhof; Massimo Filippi Journal: J Neurol Date: 2008-02-18 Impact factor: 4.849
Authors: Chris Polman; Ludwig Kappos; Mark S Freedman; Gilles Edan; Hans-Peter Hartung; David H Miller; Xavier Montalbán; Frederick Barkhof; Krzysztof Selmaj; Bernard M J Uitdehaag; Susanne Dahms; Lars Bauer; Christoph Pohl; Rupert Sandbrink Journal: J Neurol Date: 2007-11-15 Impact factor: 4.849
Authors: Elizabeth M Cameron; Sade Spencer; Jonathan Lazarini; Christopher T Harp; E Sally Ward; Mark Burgoon; Gregory P Owens; Michael K Racke; Jeffrey L Bennett; Elliot M Frohman; Nancy L Monson Journal: J Neuroimmunol Date: 2009-07-24 Impact factor: 3.478
Authors: Jessica M Nielsen; Christoph Pohl; Chris H Polman; Frederik Barkhof; Mark S Freedman; Gilles Edan; David H Miller; Lars Bauer; Rupert Sandbrink; Ludwig Kappos; Bernard M J Uitdehaag Journal: BMC Neurol Date: 2009-05-20 Impact factor: 2.474
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