Differences in diffusion tensor imaging-derived metrics in the corpus callosum of patients with multiple sclerosis without and with gadolinium-enhancing cerebral lesions

To analyze differences in corpus callosum diffusion tensor imaging metrics among patients with relapsing-remitting multiple sclerosis (MS) (RRMS) and secondary progressive MS (SPMS) with enhancing and nonenhancing cerebral lesions. One-way analysis of variance and multiple linear regression models w...

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Published inJournal of computer assisted tomography Vol. 36; no. 4; p. 410
Main Authors Braley, Tiffany J, Lee, Young Hen, Mohan, Suyash, Segal, Benjamin M, Berini, Sarah, Srinivasan, Ashok
Format Journal Article
LanguageEnglish
Published United States 01.07.2012
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Abstract To analyze differences in corpus callosum diffusion tensor imaging metrics among patients with relapsing-remitting multiple sclerosis (MS) (RRMS) and secondary progressive MS (SPMS) with enhancing and nonenhancing cerebral lesions. One-way analysis of variance and multiple linear regression models were used to assess the relationship between MS subtype, the presence of enhancing lesions, and fractional anisotropy (FA)/mean diffusivity (MD) values of the genu, body, and splenium of the corpus callosum from 22 patients with RRMS and 25 patients with SPMS. Analyses of variance: The subjects with SPMS with enhancing lesions had significantly lower genu and body FA values than those with nonenhancing SPMS and significantly lower genu, body, and splenium FA values than those with RRMS. Regression models: Enhancement was associated with decreased genu FA (P = 0.014). Secondary progressive MS was associated with decreased genu (P = 0.002) and splenium FA (P < 0.001) and significantly increased MD values. Patients with SPMS with enhancing lesions may be at increased risk for neuronal damage compared to nonenhancing SPMS and RRMS subtypes.
AbstractList To analyze differences in corpus callosum diffusion tensor imaging metrics among patients with relapsing-remitting multiple sclerosis (MS) (RRMS) and secondary progressive MS (SPMS) with enhancing and nonenhancing cerebral lesions. One-way analysis of variance and multiple linear regression models were used to assess the relationship between MS subtype, the presence of enhancing lesions, and fractional anisotropy (FA)/mean diffusivity (MD) values of the genu, body, and splenium of the corpus callosum from 22 patients with RRMS and 25 patients with SPMS. Analyses of variance: The subjects with SPMS with enhancing lesions had significantly lower genu and body FA values than those with nonenhancing SPMS and significantly lower genu, body, and splenium FA values than those with RRMS. Regression models: Enhancement was associated with decreased genu FA (P = 0.014). Secondary progressive MS was associated with decreased genu (P = 0.002) and splenium FA (P < 0.001) and significantly increased MD values. Patients with SPMS with enhancing lesions may be at increased risk for neuronal damage compared to nonenhancing SPMS and RRMS subtypes.
Author Braley, Tiffany J
Srinivasan, Ashok
Segal, Benjamin M
Lee, Young Hen
Mohan, Suyash
Berini, Sarah
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CitedBy_id crossref_primary_10_1155_2013_671730
crossref_primary_10_17116_jnevro20151151158_65
crossref_primary_10_1016_j_nicl_2017_09_019
crossref_primary_10_1177_1352458515579440
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Snippet To analyze differences in corpus callosum diffusion tensor imaging metrics among patients with relapsing-remitting multiple sclerosis (MS) (RRMS) and secondary...
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StartPage 410
SubjectTerms Adult
Analysis of Variance
Anisotropy
Contrast Media
Corpus Callosum - pathology
Cross-Sectional Studies
Diffusion Tensor Imaging - methods
Female
Gadolinium DTPA
Humans
Linear Models
Male
Middle Aged
Multiple Sclerosis, Chronic Progressive - pathology
Multiple Sclerosis, Relapsing-Remitting - pathology
Retrospective Studies
Title Differences in diffusion tensor imaging-derived metrics in the corpus callosum of patients with multiple sclerosis without and with gadolinium-enhancing cerebral lesions
URI https://www.ncbi.nlm.nih.gov/pubmed/22805669
Volume 36
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