[PDF][PDF] Which Geometric Variations in the Cervical Spine Influence Vertebral Rotations Under Combined Loading?

JD John, GS Kumar, MWJ Arun, N Yoganandan - IRCOBI Conference, 2018 - ircobi.org
IRCOBI Conference, 2018ircobi.org
Non‐physiological loadings on the cervical spine usually act in a combination of moment,
axial and shear forces. Geometric variations can influence the responses of a spine
segment. This study used a parametric cervical spine segment (C5‐C6) to study the
influence of geometric variations. Fifty finite element models with variations in disc height,
facet angle, facet height, antero‐posterior vertebral depth, uncinate processes slope and
segment size were generated. The influence of these geometric parameters on vertebral …
Abstract
Non‐physiological loadings on the cervical spine usually act in a combination of moment, axial and shear forces. Geometric variations can influence the responses of a spine segment. This study used a parametric cervical spine segment (C5‐C6) to study the influence of geometric variations. Fifty finite element models with variations in disc height, facet angle, facet height, antero‐posterior vertebral depth, uncinate processes slope and segment size were generated. The influence of these geometric parameters on vertebral rotation in flexion‐compression, flexion‐distraction, extension‐compression, extension‐distraction coupled with anterior/posterior shear was investigated. Sixteen load‐cases on the fifty parametric models were simulated for response‐surface based sensitivity analysis of the geometric parameters. The variation due to the geometric parameters were on an average 30% of mean vertebral rotation in each load case. The sensitivity analysis showed that disc height, vertebral depth and segmental size influence the vertebral rotation in most loading cases. This may have implications in gender‐based variations observed in inertial loading scenarios. Vertebral depth and size are gender‐dependent, female dimensions being smaller compared to males. The influential geometric variations identified in this study will be implemented in whole cervical spine parametric model for detailed analysis.
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