ArticleBioengineering (Basel, Switzerland)2023
Inter-Specimen Analysis of Diverse Finite Element Models of the Lumbar Spine.
Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Regional mechanical matching dictates vertebral rotation improvement in severe rigid idiopathic scoliosis with halo-pelvic traction: a finite element analysis.Journal of orthopaedic surgery and research · 2026Article
- Multiphysics finite element analysis of vertebral stability in simulated osteolytic lumbar defects treated withFrontiers in bioengineering and biotechnology · 2026Article
- Advances in biomechanical modeling of lumbar spine diseases and tumors: gaps, opportunities, and AI integration.Frontiers in bioengineering and biotechnology · 2026Review
- Streamlined and efficient patient-specific modeling for lumbar spine segmentation and finite element analysis.Scientific reports · 2025Article
- Revolutionizing spine surgery with emerging AI-FEA integration.Journal of robotic surgery · 2025Review
- A Pilot Study on the Age-Dependent, Biomechanical Properties of Longitudinal Ligaments in the Human Cervical Spine.Bioengineering (Basel, Switzerland) · 2025Article
- Finite element analysis of modified pedicle screw fixation and traditional lumbopelvic fixation for the treatment of sacroiliac joint disruption.BMC musculoskeletal disorders · 2024Article
- Validation and Estimation of Obesity-Induced Intervertebral Disc Degeneration through Subject-Specific Finite Element Modelling of Functional Spinal Units.Bioengineering (Basel, Switzerland) · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past few decades, there has been a growing popularity in utilizing finite element analysis to study the spine. However, most current studies tend to use one specimen for their models. This research aimed to validate multiple finite element models by comparing them with data from in vivo experiments and other existing finite element studies. Additionally, this study sought to analyze the data based on the gender and age of the specimens. For this study, eight lumbar spine (L2-L5) finite element models were developed. These models were then subjected to finite element analysis to simulate the six fundamental motions. CT scans were obtained from a total of eight individuals, four males and four females, ranging in age from forty-four (44) to seventy-three (73) years old. The CT scans were preprocessed and used to construct finite element models that accurately emulated the motions of flexion, extension, lateral bending, and axial rotation. Preloads and moments were applied to the models to replicate physiological loading conditions. This study focused on analyzing various parameters such as vertebral rotation, facet forces, and intradiscal pressure in all loading directions. The obtained data were then compared with the results of other finite element analyses and in vivo experimental measurements found in the existing literature to ensure their validity. This study successfully validated the intervertebral rotation, intradiscal pressure, and facet force results by comparing them with previous research findings. Notably, this study concluded that gender did not have a significant impact on the results. However, the results did highlight the importance of age as a critical variable when modeling the lumbar spine.
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