ArticleBiomechanics and modeling in mechanobiology2025
Uncertainty quantification for patient-specific domain in virtual aortic procedures: application to thoracic endovascular aortic repair.
Article in Biomechanics and modeling in mechanobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Simulating medical procedures requires accounting for inherent uncertainty in many numerical model parameters, such as material properties. Evaluating the impact of these uncertainties is crucial for identifying parameters needing precise definition and correctly interpreting simulation results. This study explores how uncertainties in modelling the aorta affect finite element outcomes of a thoracic endovascular aortic repair (TEVAR) procedure. Based on literature data, aortic wall thickness and mechanical properties were identified as the most uncertain. The aorta was modelled using shell elements with homogeneous thickness and assumed to behave as a linear elastic isotropic material. A design of experiments approach was used for uncertainty quantification and sensitivity analysis: wall thickness and Young's modulus were varied over 11 levels in a full factorial design, resulting in 121 simulations. Uncertainty was quantified using statistical metrics such as mean, standard deviation, coefficient of variation, and 95% confidence intervals. Results indicate wall thickness significantly affects aortic wall stress (σ
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