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3D Printing Model of a Patient's Specific Lumbar Vertebra
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Development, calibration and validation of a comprehensive customizable lumbar spine FE model for simulating fusion
Subin P George1, K Venkatesh2, G Saravana Kumar3
1Joint Degree Programme in IIT Madras, CMC Vellore & Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.
Medical Engineering & Physics
|August 3, 2023
Summary
This study developed a computationally efficient finite element model of the spine to predict biomechanics after surgical instrumentation. The model accurately predicts range of motion and facet contact forces, aiding clinical decision-making.
Area of Science:
- Biomechanics
- Spine Engineering
- Finite Element Analysis
Background:
- Surgical instrumentation significantly alters spinal biomechanics, necessitating accurate predictive models for clinical applications.
- Patient-specific finite element models can reduce development time and cost for analyzing spinal instrumentation effects.
Purpose of the Study:
- To develop a comprehensive hexahedral morphological finite element model of the lumbosacral spine.
- To predict range of motion, disc pressures, and facet contact forces for intact and instrumented spine conditions.
- To validate the model against extensive in vitro experimental data.
Main Methods:
- Development of a hexahedral morphological finite element model of the lumbosacral spine.
- Simulation of intact and instrumented spinal segments under various physiological loading conditions (pure moment, compression, combined loading).
- Validation of model predictions against experimental data from six literature studies.
Main Results:
- The model demonstrated statistically significant agreement with experimental corridor results for moment-rotation curves in flexion, extension, and bending.
- Axial torque moment-rotation curves were comparable to in vitro results for most lumbar functional units.
- Facet contact force predictions aligned well with in vitro experimental findings.
- The model is computationally efficient, using fewer elements without compromising predictive accuracy.
Conclusions:
- The developed finite element model accurately predicts spinal biomechanics for intact and instrumented conditions.
- This computationally efficient model aids in understanding the impact of surgical instrumentation on the lumbar spine.
- The model serves as a valuable tool for predicting the effects of different spinal instrumentation techniques.

