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Abstract #1622

Comparison of Acute In-vivo and Postmortem Ex-vivo MRI Metrics in Spinal Cord Injury

Noah Marini1, Nikolai Lesack1,2,3, Sarah Rosemary Morris1,2,3, Andrew Yung1,2,4, Kirsten Bale2,4, Shana George5, Andrew Bauman4, Piotr Kozlowski1,2,3,4, Zahra Samadi-Bahrami1,5, Caron Fournier1,5, Pushwant Mattu6, Lisa Parker6, Kevin Dong1, Femke Streijger1, Wayne Moore1,5,6, Adam Velenosi1, Veronica Hirsch-Reinshagen1,5,6, Brian Kwon1,7, and Cornelia Laule1,2,3,5
1International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 5Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6Vancouver General Hospital, Vancouver, BC, Canada, 7Orthopaedics, University of British Columbia, Vancouver, BC, Canada

Synopsis

Keywords: Spinal Cord, Spinal Cord, spinal cord injury, post-mortem, ex-vivo, lesion length, clinical MRI

Motivation: Comparing MRI at time of spinal cord injury (SCI) with post-mortem ex-vivo imaging may help inform if, and how, acute-setting in-vivo clinical MRI can predict long-term tissue damage.

Goal(s): To compare acute in-vivo MRI and postmortem ex-vivo MRI metrics in traumatic SCI.

Approach: Comparisons between in-vivo MRI (lesion length, cord compression, canal compromise) and post-mortem MRI (lesion length, lesion volume, cord damage percentage) in 15 people were assessed using partial correlations and linear regressions.

Results: In-vivo cord compression inversely correlated with injury-to-death interval. Ex-vivo lesion length and volume predicted percentage of core damage at epicenter. Acute and post-mortem MRI metrics were not related.

Impact: Acute in-vivo MRI at time of spinal cord injury may be insufficient to predict the degree of permanent tissue damage. Additional MRI methods are needed to improve spinal cord injury long-term prognostication.

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Keywords