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13 March 2009 Spinal cord stress injury assessment (SCOSIA): clinical applications of mechanical modeling of the spinal cord and brainstem
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Abstract
Abnormal stretch and strain is a major cause of injury to the spinal cord and brainstem. Such forces can develop from age-related degeneration, congenital malformations, occupational exposure, or trauma such as sporting accidents, whiplash and blast injury. While current imaging technologies provide excellent morphology and anatomy of the spinal cord, there is no validated diagnostic tool to assess mechanical stresses exerted upon the spinal cord and brainstem. Furthermore, there is no current means to correlate these stress patterns with known spinal cord injuries and other clinical metrics such as neurological impairment. We have therefore developed the spinal cord stress injury assessment (SCOSIA) system, which uses imaging and finite element analysis to predict stretch injury. This system was tested on a small cohort of neurosurgery patients. Initial results show that the calculated stress values decreased following surgery, and that this decrease was accompanied by a significant decrease in neurological symptoms. Regression analysis identified modest correlations between stress values and clinical metrics. The strongest correlations were seen with the Brainstem Disability Index (BDI) and the Karnofsky Performance Score (KPS), whereas the weakest correlations were seen with the American Spinal Injury Association (ASIA) scale. SCOSIA therefore shows encouraging initial results and may have wide applicability to trauma and degenerative disease involving the spinal cord and brainstem.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenneth H. Wong, Jae Choi, William Wilson, Joel Berry, and Fraser C. Henderson Sr. "Spinal cord stress injury assessment (SCOSIA): clinical applications of mechanical modeling of the spinal cord and brainstem", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726106 (13 March 2009); https://doi.org/10.1117/12.813791
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