• Tobias Granberg, Gösta Bergendal, Sara Shams, Peter Aspelin, Maria Kristoffersen-Wiberg, Sten Fredrikson, and Juha Martola.
• Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, Stockholm, Sweden.
• J Neuroimaging. 2015 Nov 1; 25 (6): 996-1001.

ObjectiveTo compare corpus callosum area (CCA) and corpus callosum index (CCI) in terms of feasibility and their performance as biomarkers for cognitive and physical disability in multiple sclerosis (MS). A secondary aim was to compare these two methods with volumetric measurements.MethodsThis study was based on a cohort of 37 MS patients and a group of age- and gender-matched healthy controls. Physical disability was assessed with the expanded disability status scale (EDSS) and cognitive disability with the symbol digit modalities test (SDMT). CCA and CCI were assessed on midsagittal brain MRI by 3 raters with varying radiological experience. Volumes of the brain, gray and white matter, corpus callosum, and MS lesions were acquired with Freesurfer and Lesion Segmentation Toolbox for Statistical Parametric Mapping.ResultsCCA and CCI were obtained within seconds with excellent intra- and inter-rater agreement, and outperformed volumetric measurements. CCA had the strongest correlations with both SDMT (r = .82, P < .001) and EDSS (r = -.56, P < .001), and the highest accuracy in differentiating patients from controls (95%) and relapse-remitting MS from progressive forms of MS (77%). CCI performed less well (r = .73, P < .001; r = -.45, P < .001; 94%; 71%). CCA also outperformed the volumetric measurements in these regards.ConclusionsCCA is a time-effective and robust biomarker that has stronger correlations with both EDSS and information processing speed than CCI and volumetric measurements that are commonly used as outcome measures in MS research and clinical trials.Copyright © 2015 by the American Society of Neuroimaging.

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