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Diffusion Tensor Imaging of Corpus Callosum Integrity in Multiple Sclerosis: Correlation with Disease Variables
Author(s) -
Sigal Tal,
Shmuel Miron,
Mark Dolev,
Gil Harari,
Anat Achiron
Publication year - 2012
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/j.1552-6569.2010.00556.x
Subject(s) - fractional anisotropy , medicine , diffusion mri , corpus callosum , multiple sclerosis , expanded disability status scale , effective diffusion coefficient , magnetic resonance imaging , nuclear medicine , radiology , pathology , psychiatry
BACKGROUND AND PURPOSE Corpus callosum (CC) is frequently involved in multiple sclerosis (MS). We aimed to investigate the relations between CC microstructure integrity as measured by diffusion tensor imaging (DTI) in relapsing‐remitting MS patients with low neurological disability in comparison with age‐matched healthy subjects and further to identify correlations between DTI‐CC parameters and clinical variables of MS disease activity. METHODS CC volume was measured on 3.0T brain MRI by MS Analyze software. DTI metrics acquired along 31 independent directions were obtained and fractional anisotropy (FA), apparent diffusion coefficient (ADC), longitudinal (λ1) and transverse (λ 2, λ 3) diffusivities were measured in MS patients and healthy subjects. Disease activity was assessed by relapse rate and neurolgical disability by the Extended Disability Status Scale (EDSS). RESULTS Thirty relapsing‐remitting MS patients and 30 age‐ and sex‐matched healthy subjects were studied. CC volume and DTI metrics differed significantly between MS patients and healthy subjects. In MS patients, all DTI parameters correlated with neurological disability. ADC, longitudinal and transverse diffusivity correlated with disease duration. ADC and the transverse diffusivity correlated with relapse rate. CONCLUSIONS CC DTI parameters, especially ADC and transverse diffusivity correlated with disease variables especially with those associated with clinical activity.