Callosal lesion predicts future attacks after clinically isolated syndrome

Background: Current MRI criteria can help predict a second attack after a clinically isolated syndrome (CIS). Given the known association between corpus callosum lesions (CC) and multiple sclerosis (MS), such lesions on MRI could provide additional predictive information. This study assessed whether the presence of CC lesion on MRI could, next to the modified Barkhof criteria, further enhance prediction of conversion from CIS to MS. Methods: Follow-up study of 158 patients with CIS who underwent MRI after CIS was performed. MRI were scored for the Barkhof criteria and CC lesion. Patients were classified as having MS according to Poser criteria. Cox regression models were used for the time to conversion from CIS to MS. Results: The Barkhof criteria and CC lesion were strongly associated with conversion to MS with hazard ratios (HR), respectively, of 2.6 (95% confidence interval [CI] 1.5–4.3) and 2.7 (95% CI 1.6–4.5). The HRs of CC lesion adjusted for the Barkhof criteria and the Barkhof criteria adjusted for CC lesion were similar (HRs 1.8, not significant). The combined prediction of the Barkhof criteria and CC lesion was 3.3 (95% CI 1.9–5.7). Patients not fulfilling the Barkhof criteria had a fourfold increased risk of MS (HR 3.8, 95% CI 1.5–9.3) when they had a lesion in the CC. Conclusions: Corpus callosum (CC) lesion and the Barkhof criteria both predicted conversion to multiple sclerosis (MS). When both variables were combined, the association was stronger. The assessment of CC lesion may be a useful additional tool for predicting conversion to MS in patients with clinically isolated syndrome.

[1]  À. Rovira,et al.  Isolated demyelinating syndromes: comparison of different MR imaging criteria to predict conversion to clinically definite multiple sclerosis. , 2000, AJNR. American journal of neuroradiology.

[2]  R. Egashira,et al.  Acquired lesions of the corpus callosum: MR imaging , 2006, European Radiology.

[3]  Martola Juha,et al.  Progression of non-age-related callosal brain atrophy in multiple sclerosis: a 9-year longitudinal MRI study representing four decades of disease development , 2006, Journal of Neurology, Neurosurgery & Psychiatry.

[4]  A. Thompson,et al.  Specificity of Barkhof criteria in predicting conversion to multiple sclerosis when applied to clinically isolated brainstem syndromes. , 2004, Archives of neurology.

[5]  Marco Rovaris,et al.  MRI criteria for multiple sclerosis in patients presenting with clinically isolated syndromes: a multicentre retrospective study , 2007, The Lancet Neurology.

[6]  J. Taveras,et al.  Abnormal corpus callosum: a sensitive and specific indicator of multiple sclerosis. , 1991, Radiology.

[7]  F. Barkhof,et al.  MRI criteria for dissemination in space in patients with clinically isolated syndromes: a multicentre follow-up study , 2006, The Lancet Neurology.

[8]  A. Rovira,et al.  Do oligoclonal bands add information to MRI in first attacks of multiple sclerosis? , 2008, Neurology.

[9]  J H Simon,et al.  Corpus callosum and subcallosal-periventricular lesions in multiple sclerosis: detection with MR. , 1986, Radiology.

[10]  Jan Hillert,et al.  Progression of non-age-related callosal brain atrophy in multiple sclerosis: a 9-year longitudinal MRI study representing four decades of disease development. , 2007, Journal of neurology, neurosurgery, and psychiatry.

[11]  C. Poser,et al.  Diagnostic criteria for multiple sclerosis , 2001, Clinical Neurology and Neurosurgery.

[12]  W G Bradley,et al.  Subcallosal striations: early findings of multiple sclerosis on sagittal, thin-section, fast FLAIR MR images. , 1999, Radiology.

[13]  G. Comi,et al.  Comparison of MRI criteria at first presentation to predict conversion to clinically definite multiple sclerosis. , 1997, Brain : a journal of neurology.

[14]  S. Reingold,et al.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria” , 2005, Annals of neurology.

[15]  R O Barnard,et al.  Corpus callosum in multiple sclerosis , 1974, Journal of neurology, neurosurgery, and psychiatry.

[16]  David H. Miller,et al.  Application of the new McDonald criteria to patients with clinically isolated syndromes suggestive of multiple sclerosis , 2002, Annals of neurology.

[17]  J. Correale,et al.  Oligoclonal bands and antibody responses in Multiple Sclerosis , 2002, Journal of Neurology.