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Cervical spine morphology and ligament property variations: A finite element study of their influence on sagittal bending characteristics
Institution:1. Department of Biomedical Engineering, University of Shanghai for Science and Technology, 516 JunGong Road, Shanghai, China;2. Department of Orthopedic Surgery, YanBian University Hospital, China;3. Department of Biomedical Engineering, College of Biomedical Science & Engineering, Inje University, 607 O-bang, Gyongnam, Republic of Korea;4. Department of Neurosurgery, College of medicine, The Catholic University of Korea, 222 Banpo-Daero, Seoul, Republic of Korea;1. University of Zielona Góra, Zielona Góra, Poland;2. St. Raphael Hospital in Krakow, Krakow, Poland
Abstract:Cervical spine finite element models reported in biomechanical literature usually represent a static morphology. Not considering morphology as a model parameter limits the predictive capabilities for applications in personalized medicine, a growing trend in modern clinical practice. The objective of the study was to investigate the influence of variations in spinal morphology on the flexion-extension responses, utilizing mesh-morphing-based parametrization and metamodel-based sensitivity analysis. A C5-C6 segment was used as the baseline model. Variations of intervertebral disc height, facet joint slope, facet joint articular processes height, vertebral body anterior-posterior depth, and segment size were parametrized. In addition, material property variations of ligaments were considered for sensitivity analysis. The influence of these variations on vertebral rotation and forces in the ligaments were analyzed. The disc height, segmental size, and body depth were found to be the most influential (in the cited order) morphology variations; while among the ligament material property variations, capsular ligament and ligamentum flavum influenced vertebral rotation the most. Changes in disc height influenced forces in the posterior ligaments, indicating that changes in the anterior load-bearing column of the spine could have consequences on the posterior column. A method to identify influential morphology variations is presented in this work, which will help automation efforts in modeling to focus on variations that matter. This study underscores the importance of incorporating influential morphology parameters, easily obtained through computed tomography/magnetic resonance images, to better predict subject-specific biomechanical responses for applications in personalized medicine.
Keywords:Cervical spine morphology  Sensitivity analysis  Finite element analysis  Spine ligaments  Mesh morphing
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