Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury.
Autor: | Ahmed RU; Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA., Medina-Aguinaga D; Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, Kentucky, USA., Adams S; Department of Neurosurgery, Duke University, Raleigh, North Carolina, USA., Knibbe CA; Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA., Morgan M; Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA., Gibson D; Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA., Kim JW; Department of Radiology, Baylor College of Medicine, Houston, Texas, USA.; Department of Psychiatry, Baylor College of Medicine, Houston, Texas, USA., Sharma M; Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA., Chopra M; Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA., Davison S; Comparative Medicine Research Unit, University of Louisville, Louisville, Kentucky, USA., Sherwood LC; Comparative Medicine Research Unit, University of Louisville, Louisville, Kentucky, USA., Negahdar MJ; Department of Radiology, University of Louisville, Louisville, Kentucky, USA., Bert R; Department of Radiology, University of Louisville, Louisville, Kentucky, USA., Ugiliweneza B; Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA., Hubscher C; Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, Kentucky, USA., Budde MD; Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.; Clement J. Zablocki Veterans Affairs Medical Center, Milwaukee, Wisconsin, USA., Xu J; Department of Radiology, Baylor College of Medicine, Houston, Texas, USA.; Department of Psychiatry, Baylor College of Medicine, Houston, Texas, USA., Boakye M; Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA. |
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Jazyk: | angličtina |
Zdroj: | Annals of clinical and translational neurology [Ann Clin Transl Neurol] 2023 Sep; Vol. 10 (9), pp. 1647-1661. Date of Electronic Publication: 2023 Jul 27. |
DOI: | 10.1002/acn3.51855 |
Abstrakt: | Objectives: To explore filtered diffusion-weighted imaging (fDWI), in comparison with conventional magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI), as a predictor for long-term locomotor and urodynamic (UD) outcomes in Yucatan minipig model of spinal cord injury (SCI). Additionally, electrical conductivity of neural tissue using D-waves above and below the injury was measured to assess correlations between fDWI and D-waves data. Methods: Eleven minipigs with contusion SCI at T8-T10 level underwent MRI at 3T 4 h. post-SCI. Parameters extracted from region of interest analysis included D Results: Two groups of pigs were found based on the PTIBS at week 12 (p < 0.0001) post-SCI and were labeled "poor" and "good" recovery. D-waves amplitude decreased below injury and increased above injury. UD outcomes pre/post SCI changed significantly. Conventional MRI metrics from T Interpretation: Similar to small animal studies, fDWI from acute imaging after SCI is a promising predictor for functional outcomes in large animals. (© 2023 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.) |
Databáze: | MEDLINE |
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