Key result
A novel computational modeling framework for TEVAR demonstrated that the size of the bird-beak configuration is sensitive to different values of aortic geometry.
Why the study?
Patient-specific computational models of TEVAR are difficult to generalize to a population due to patient variability, despite the need to predict surgical outcomes and stent graft complications preoperatively.
Answers are grounded in this paper and cite their sources.
A novel computational modeling framework for TEVAR demonstrates that variations in aortic geometry significantly impact the prediction of postoperative complications like bird-beak configuration.
Thoracic endovascular aortic repair (TEVAR) is a minimally invasive treatment for thoracic aortic conditions including aneurysms and is associated with a number of postoperative stent graft related complications. Computational simulations of TEVAR have the potential to predict surgical outcomes and complications preoperatively. When using simulations for stent graft design and prediction of complications in a population, it is difficult to generalize patient-specific TEVAR computational models due to patient variability. This study proposes a novel modeling framework for creating realistic population-based computational models of TEVAR focused on aneurysms that allow for developing various clinically relevant geometric configurations and scenarios that are not easily attainable with limited patient data. The framework includes a methodology for developing population-based thoracic aortic geometries and defining age-dependent aortic tissue material models, as well as detailed steps and boundary conditions for finite element modeling of stent graft deployment during TEVAR. The simulation framework is illustrated for predicting the formation of a bird-beak configuration, a wedge-shaped gap at the proximal end of the deployed stent graft in TEVAR that leads to incomplete seal. A baseline TEVAR simulation model was developed along with three simulations in which the value of aortic curvature, aortic arch angle, or aortic tissue properties varied from the baseline model. Analyzing the length and angle of the bird-beak configuration in each case shows that the bird-beak size is sensitive to different values of the aortic geometry highlighting the importance of using realistic parameter values.
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Shahbazian et al. (2022) studied Thoracic aortic conditions including aneurysms. Computational simulations of TEVAR was evaluated on Formation of a bird-beak configuration. A novel computational modeling framework for TEVAR demonstrated that the size of the bird-beak configuration is sensitive to different values of aortic geometry.
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