Literature DB >> 20198382

Corpus callosum index and long-term disability in multiple sclerosis patients.

Ozgür Yaldizli1, Ramin Atefy, Achim Gass, Dietrich Sturm, Stephanie Glassl, Barbara Tettenborn, Norman Putzki.   

Abstract

Prediction of long-term disability in patients with multiple sclerosis (MS) is essential. Magnetic resonance imaging (MRI) measurement of brain volume may be of predictive value but sophisticated MRI techniques are often inaccessible in clinical practice. The corpus callosum index (CCI) is a normalized measurement that reflects changes of brain volume. We investigated medical records and 533 MRI scans at diagnosis and during clinical follow-up of 169 MS patients (mean age 42 +/- 11 years, 86% relapsing-remitting MS, time since first relapse 11 +/- 9 years). CCI at diagnosis was 0.345 +/- 0.04 and correlated with duration of disease (p = 0.002; r = -0.234) and expanded disability status scale (EDSS) score at diagnosis (r = -0.428; p < 0.001). Linear regression analyses identified age, duration of disease, relapse rate and EDSS at diagnosis as independent predictors for disability after mean of 7.1 years (Nagelkerkes' R:0.56). Annual CCI decrease was 0.01 +/- 0.02 (annual tissue loss: 1.3%). In secondary progressive MS patients, CCI decrease was double compared to that in relapsing-remitting MS patients (p = 0.04). There was a trend of greater CCI decrease in untreated patients compared to those who received disease modifying drugs (p = 0.2). CCI is an easy to use MRI marker for estimating brain atrophy in patients with MS. Brain atrophy as measured with CCI was associated with disability progression but it was not an independent predictor of long-term disability.

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Year:  2010        PMID: 20198382     DOI: 10.1007/s00415-010-5503-x

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  51 in total

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Review 2.  Measuring brain atrophy in multiple sclerosis.

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4.  Prognostic factors in a multiple sclerosis incidence cohort with twenty-five years of follow-up.

Authors:  B Runmarker; O Andersen
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5.  Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis.

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6.  Three dimensional MRI estimates of brain and spinal cord atrophy in multiple sclerosis.

Authors:  C Liu; S Edwards; Q Gong; N Roberts; L D Blumhardt
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7.  Brain atrophy in relapsing-remitting multiple sclerosis and secondary progressive multiple sclerosis: longitudinal quantitative analysis.

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10.  Evidence of early cortical atrophy in MS: relevance to white matter changes and disability.

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  15 in total

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Authors:  Eric C Klawiter
Journal:  Continuum (Minneap Minn)       Date:  2013-08

2.  Sensory evoked potentials to predict short-term progression of disability in multiple sclerosis.

Authors:  N Margaritella; L Mendozzi; M Garegnani; E Colicino; E Gilardi; L Deleonardis; F Tronci; L Pugnetti
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3.  Evaluation of normal appearing white matter in multiple sclerosis: comparison of diffusion magnetic resonance, magnetization transfer imaging and multivoxel magnetic resonance spectroscopy findings with expanded disability status scale.

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Journal:  Clin Neuroradiol       Date:  2011-08-17       Impact factor: 3.649

4.  Fatigue and progression of corpus callosum atrophy in multiple sclerosis.

Authors:  Özgür Yaldizli; Stephanie Glassl; Dietrich Sturm; Athina Papadopoulou; Achim Gass; Barbara Tettenborn; Norman Putzki
Journal:  J Neurol       Date:  2011-05-19       Impact factor: 4.849

5.  The association between retinal nerve fibre layer thickness and corpus callosum index in different clinical subtypes of multiple sclerosis.

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6.  Oligoprogenitor cells derived from spermatogonia stem cells improve remyelination in demyelination model.

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7.  Corpus callosum atrophy correlates with gray matter atrophy in patients with multiple sclerosis.

Authors:  Eric C Klawiter; Antonia Ceccarelli; Ashish Arora; Jonathan Jackson; Sonya Bakshi; Gloria Kim; Jennifer Miller; Shahamat Tauhid; Christian von Gizycki; Rohit Bakshi; Mohit Neema
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8.  A surface-based technique for mapping homotopic interhemispheric connectivity: Development, characterization, and clinical application.

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9.  Influence of corpus callosum damage on cognition and physical disability in multiple sclerosis: a multimodal study.

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Journal:  PLoS One       Date:  2012-05-14       Impact factor: 3.240

Review 10.  The Role of T1-Weighted Derived Measures of Neurodegeneration for Assessing Disability Progression in Multiple Sclerosis.

Authors:  Maria A Rocca; Giancarlo Comi; Massimo Filippi
Journal:  Front Neurol       Date:  2017-09-04       Impact factor: 4.003

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