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• W2892493366 abstract "Diffusion tensor imaging (DTI) has demonstrated success as a biomarker of spinal cord injury (SCI) severity as shown from numerous pre-clinical studies. However, artifacts from stabilization hardware at the lesion have precluded its use for longitudinal assessments. Previous research has documented ex vivo diffusion changes in the spinal cord both caudal and cranial to the injury epicenter. The aim of this study was to use a rat contusion model of SCI to evaluate the utility of in vivo cervical DTI after a thoracic injury. Forty Sprague-Dawley rats underwent a thoracic contusion (T8) of mild, moderate, severe, or sham severity. Magnetic resonance imaging (MRI) of the cervical cord was performed at 2, 30, and 90 days post-injury, and locomotor performance was assessed weekly using the Basso, Bresnahan, and Beattie (BBB) scoring scale. The relationships between BBB scores and MRI were assessed using region of interest analysis and voxel-wise linear regression of DTI, and free water elimination (FWE) modeling to reduce partial volume effects. At 90 days, axial diffusivity (ADFWE), mean diffusivity (MDFWE), and free water fraction (FWFFWE) using the FWE model were found to be significantly correlated with BBB score. FWE was found to be more predictive of injury severity than conventional DTI, specifically at later time-points. This study validated the use of FWE technique in spinal cord and demonstrated its sensitivity to injury remotely." @default.
• W2892493366 created "2018-10-05" @default.
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• W2892493366 creator A5083664797 @default.
• W2892493366 date "2019-05-01" @default.
• W2892493366 modified "2023-10-16" @default.
• W2892493366 title "Longitudinal <i>In Vivo</i> Diffusion Magnetic Resonance Imaging Remote from the Lesion Site in Rat Spinal Cord Injury" @default.
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• W2892493366 doi "https://doi.org/10.1089/neu.2018.5964" @default.
• W2892493366 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6482909" @default.
• W2892493366 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30259800" @default.
• W2892493366 hasPublicationYear "2019" @default.
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