Key result
The proposed high-fidelity finite element simulation methodology for thoracic stent-graft implantation achieved an average opening area error of 0.92% compared to CT scans, outperforming literature models.
Why the study?
Computational models are important for TEVAR procedural planning and need to be reliable.
Does the proposed high-fidelity FE simulation methodology improve the accuracy of modeling thoracic stent-graft deployment compared to literature models?
Population
Stent-graft deployment into a 3D rigid aortic phantom with physiological anatomy
Comparison
High-fidelity finite element simulations vs literature models and experimental CT scan
Design
In vitro experimental validation and computational simulation study
Authors
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May improve TEVAR planning reliability; extends calibration methods to high-fidelity FE models but leaves open clinical validation.
Does the proposed high-fidelity FE simulation methodology improve the accuracy of modeling thoracic stent-graft deployment compared to literature models?
Absolute Event Rate: 0.92% vs 4.77%
The proposed high-fidelity finite element simulation methodology accurately replicates thoracic stent-graft deployment with an average error of <1% compared to CT imaging, outperforming existing literature models.
Ramella et al. (2022) studied Thoracic aortic pathologies. High-fidelity Finite Element (FE) simulations vs. Literature models was evaluated on Opening area percentage error with respect to CT. The proposed high-fidelity finite element simulation methodology for thoracic stent-graft implantation achieved an average opening area error of 0.92% compared to CT scans, outperforming literature models.
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