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Brain MRI in late-onset multiple sclerosis.

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Title: Brain MRI in late-onset multiple sclerosis.
Authors: Seze, J., Delalande, S., Michelin, E., Gauvrit, J. Y., Mackowiak, M. A., Ferriby, D., Stojkovic, T., Defebvre, L., Pruvo, J. P., Vermersch, P.
Source: European Journal of Neurology. Apr2005, Vol. 12 Issue 4, p241-244. 4p.
Subjects: Multiple sclerosis, Demyelination, Magnetic resonance imaging, Brain abnormalities, Neurology
Abstract: Multiple sclerosis (MS) with clinical onset after 50 years of age is unusual (between 1 and 6%) and is frequently misdiagnosed. Furthermore, brain magnetic resonance imaging (MRI) abnormalities are frequently observed in subjects over 50 years of age. The aim of this study was to describe brain MRI in late-onset MS to evaluate the sensitivity and specificity of radiological MS criteria in patients aged over 50 years. We evaluated the brain MRI of 20 patients with onset of MS after 50 years of age. We compared these MRI with 26 controls matched for age, sex and vascular risk factors. MRI were blindly analysed by two neuroradiologists according to Patyet al.'s [Neurology38(1988) 180] criteria, Fazekaset al.'s [Neurology38(1988) 1822] criteria and Barkhofet al.'s [Brain120(1997) 2059] criteria. The mean age at MRI scanning was 58 years. Sensitivity was 90% for Patyet al.'s criteria, 80% for Fazekaset al.'s criteria and 85% for Barkhofet al.'s criteria. Specificity was 54% for Patyet al.'s criteria, 69% for Fazekaset al.'s criteria and 65% for Barkhofet al.'s criteria. Barkhofet al.'s criteria are less specific in older patients than in young patients. We suggest that spinal cord MRI and cerebrospinal fluid analysis should be systematically performed in suspected late-onset MS in order to increase the specificity of the diagnosis. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Brain MRI in late-onset multiple sclerosis.
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  Data: <searchLink fieldCode="AR" term="%22Seze%2C+J%2E%22">Seze, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Delalande%2C+S%2E%22">Delalande, S.</searchLink><br /><searchLink fieldCode="AR" term="%22Michelin%2C+E%2E%22">Michelin, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Gauvrit%2C+J%2E+Y%2E%22">Gauvrit, J. Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Mackowiak%2C+M%2E+A%2E%22">Mackowiak, M. A.</searchLink><br /><searchLink fieldCode="AR" term="%22Ferriby%2C+D%2E%22">Ferriby, D.</searchLink><br /><searchLink fieldCode="AR" term="%22Stojkovic%2C+T%2E%22">Stojkovic, T.</searchLink><br /><searchLink fieldCode="AR" term="%22Defebvre%2C+L%2E%22">Defebvre, L.</searchLink><br /><searchLink fieldCode="AR" term="%22Pruvo%2C+J%2E+P%2E%22">Pruvo, J. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Vermersch%2C+P%2E%22">Vermersch, P.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neurology%22">European Journal of Neurology</searchLink>. Apr2005, Vol. 12 Issue 4, p241-244. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Multiple+sclerosis%22">Multiple sclerosis</searchLink><br /><searchLink fieldCode="DE" term="%22Demyelination%22">Demyelination</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+abnormalities%22">Brain abnormalities</searchLink><br /><searchLink fieldCode="DE" term="%22Neurology%22">Neurology</searchLink>
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  Data: Multiple sclerosis (MS) with clinical onset after 50 years of age is unusual (between 1 and 6%) and is frequently misdiagnosed. Furthermore, brain magnetic resonance imaging (MRI) abnormalities are frequently observed in subjects over 50 years of age. The aim of this study was to describe brain MRI in late-onset MS to evaluate the sensitivity and specificity of radiological MS criteria in patients aged over 50 years. We evaluated the brain MRI of 20 patients with onset of MS after 50 years of age. We compared these MRI with 26 controls matched for age, sex and vascular risk factors. MRI were blindly analysed by two neuroradiologists according to Patyet al.'s [Neurology38(1988) 180] criteria, Fazekaset al.'s [Neurology38(1988) 1822] criteria and Barkhofet al.'s [Brain120(1997) 2059] criteria. The mean age at MRI scanning was 58 years. Sensitivity was 90% for Patyet al.'s criteria, 80% for Fazekaset al.'s criteria and 85% for Barkhofet al.'s criteria. Specificity was 54% for Patyet al.'s criteria, 69% for Fazekaset al.'s criteria and 65% for Barkhofet al.'s criteria. Barkhofet al.'s criteria are less specific in older patients than in young patients. We suggest that spinal cord MRI and cerebrospinal fluid analysis should be systematically performed in suspected late-onset MS in order to increase the specificity of the diagnosis. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Apr2005
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