Abstract #3791

Atlas-based volumetric assessment of T2 abnormality in acute spinal cord injury predicts motor outcomes: A transforming research and clinical knowledge in spinal cord injury (TRACK-SCI) pilot study

David B McCoy^1,2, Russell Huie^2,3, Sara M Dupont¹, William Whetstone^2,4, Sanjay Dhall^2,3, Rachel Tsolinas², Xuan Duong-Fernandez^2,3, Leigh Thomas^2,3, Vineeta Singh^2,5, Lisa Pascual^2,6, Jared Narvid¹, Nikolaos Kyritsis^2,3, Geoff Manley^2,3, Adam R Ferguson^2,3,7,8, Michael S Beattie^2,3, Jacqueline C Bresnahan^2,3, and Jason F Talbott^1,2

¹Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital and UCSF, San Francisco, CA, United States, ²Brain and Spinal Injury Center, San Francisco, CA, United States, ³Neurological Surgery, Zuckerberg San Francisco General Hospital and UCSF, San Francisco, CA, United States, ⁴Emergency Medicine, Zuckerberg San Francisco General Hospital and UCSF, San Francisco, CA, United States, ⁵Neurology, Zuckerberg San Francisco General Hospital and UCSF, San Francisco, CA, United States, ⁶Orthopedic Surgery, Orthopedic Trauma Center at ZSFG, San Francisco, CA, United States, ⁷San Francisco VA Medical Center, San Francisco, CA, United States, ⁸Weill Institute for Neurosciences, San Francisco, CA, United States

MR evaluation of intrinsic cord signal abnormality relies on gross morphologic imaging measures such as T2-hyperintense lesion length and subjective patterns of T2 signal abnormality. In the current study, we register T2w images and manually segmented lesions from acute SCI patients to a spinal cord (SC) anatomical template in order to calculate volumes of damaged tissue in 22 probabilistic anatomical subdomains of the SC. We identify specific anatomic subdomains in the SC which serve as MR biomarkers of motor impairment and indirectly support neuro-protective strategies targeting ventral horn and lateral column white matter tissue for maximizing motor function after SCI.

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