Uncertainty quantification of the wall thickness and stiffness in an idealized dissected aorta

Uncertainty quantification of the wall thickness and stiffness in an idealized dissected aorta

Gheysen, Lise (Universiteit Gent)
Maes, Lauranne (Katholieke Universiteit Leuven)
Caenen, Annette (Universiteit Gent; Katholieke Universiteit Leuven)
Segers, Patrick (Universiteit Gent)
Peirlinck, M. (TU Delft Medical Instruments & Bio-Inspired Technology)
Famaey, Nele (Katholieke Universiteit Leuven)

2024

Personalized treatment informed by computational models has the potential to markedly improve the outcome for patients with a type B aortic dissection. However, existing computational models of dissected walls significantly simplify the characteristic false lumen, tears and/or material behavior. Moreover, the patient-specific wall thickness and stiffness cannot be accurately captured non-invasively in clinical practice, which inevitably leads to assumptions in these wall models. It is important to evaluate the impact of the corresponding uncertainty on the predicted wall deformations and stress, which are both key outcome indicators for treatment optimization. Therefore, a physiology-inspired finite element framework was proposed to model the wall deformation and stress of a type B aortic dissection at diastolic and systolic pressure. Based on this framework, 300 finite element analyses, sampled with a Latin hypercube, were performed to assess the global uncertainty, introduced by 4 uncertain wall thickness and stiffness input parameters, on 4 displacement and stress output parameters. The specific impact of each input parameter was estimated using Gaussian process regression, as surrogate model of the finite element framework, and a δ moment-independent analysis. The global uncertainty analysis indicated minor differences between the uncertainty at diastolic and systolic pressure. For all output parameters, the 4^th quartile contained the major fraction of the uncertainty. The parameter-specific uncertainty analysis elucidated that the material stiffness and relative thickness of the dissected membrane were the respective main determinants of the wall deformation and stress. The uncertainty analysis provides insight into the effect of uncertain wall thickness and stiffness parameters on the predicted deformation and stress. Moreover, it emphasizes the need for probabilistic rather than deterministic predictions for clinical decision making in aortic dissections.

Aortic dissection
Finite element analysis
Gaussian process regression
Uncertainty quantification
Vascular mechanics

http://resolver.tudelft.nl/uuid:08a5c185-f949-4acc-843b-3e7af457d8a0

https://doi.org/10.1016/j.jmbbm.2024.106370

2024-07-03

1751-6161

Journal of the Mechanical Behavior of Biomedical Materials, 151

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2024 Lise Gheysen, Lauranne Maes, Annette Caenen, Patrick Segers, M. Peirlinck, Nele Famaey