| Literature DB >> 35351667 |
Yohannes Tsehay1, Carly Weber-Levine1, Timothy Kim2, Alejandro Chara2, Safwan Alomari2, Tolulope Awosika1, Ann Liu2, Jeffrey Ehresman2, Kurt Lehner2, Brian Hwang2, Andrew M Hersh2, Ian Suk2, Eli Curry3, Fariba Aghabaglou3, Yinuo Zeng3, Amir Manbachi4, Nicholas Theodore5.
Abstract
Spinal cord injury (SCI) is a devastating condition that affects about 17,000 individuals every year in the United States, with approximately 294,000 people living with the ramifications of the initial injury. After the initial primary injury, SCI has a secondary phase during which the spinal cord sustains further injury due to ischemia, excitotoxicity, immune-mediated damage, mitochondrial dysfunction, apoptosis, and oxidative stress. The multifaceted injury progression process requires a sophisticated injury-monitoring technique for an accurate assessment of SCI patients. In this narrative review, we discuss SCI monitoring modalities, including pressure probes and catheters, micro dialysis, electrophysiologic measures, biomarkers, and imaging studies. The optimal next-generation injury monitoring setup should include multiple modalities and should integrate the data to produce a final simplified assessment of the injury and determine markers of intervention to improve patient outcomes.Entities:
Keywords: Advanced monitoring for spinal cord injury; Artificial intelligence; Biomarkers; Electrophysiology; Imaging; MRI; Machine learning; Spinal cord injury; Ultrasound
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Year: 2022 PMID: 35351667 DOI: 10.1016/j.spinee.2022.03.012
Source DB: PubMed Journal: Spine J ISSN: 1529-9430 Impact factor: 4.297