ArticleAnnals of biomedical engineering2021
Effects of Uncertainty of Outlet Boundary Conditions in a Patient-Specific Case of Aortic Coarctation.
Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Displacement Forces in Different Proximal Landing Zones for Thoracic Endovascular Aortic Repair: Towards Patient-Specific Assessment.Bioengineering (Basel, Switzerland) · 2026Article
- Numerical simulations to predict complication after coarctation repair starting from 4D-Flow magnetic resonance imaging.The international journal of cardiovascular imaging · 2026Article
- Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach.Cardiovascular engineering and technology · 2026Article
- Computational fluid dynamics as an objective measure for assessing congenital tracheal stenosis: Proof-of-concept study.JTCVS open · 2026Article
- Developing a non-invasive diagnostic framework for the fractional flow reserve quantification in left coronary arteries: validation with patient cases.Frontiers in physiology · 2026Article
- Effects of vessel morphology on aortic hemodynamics: a statistical shape and CFD investigation.Medical & biological engineering & computing · 2026Article
- A Novel Prenatal Pipeline for Three-Dimensional Hemodynamic Modeling of the Fetal Aorta.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025Article
- Application feasibility of virtual models and computational fluid dynamics for the planning and evaluation of aortic repair surgery for Williams syndrome.Journal of cardiothoracic surgery · 2025Article
- A systematic quantification of hemodynamic differences persisting after aortic coarctation repair.Frontiers in bioengineering and biotechnology · 2025Article
- Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve.Frontiers in bioengineering and biotechnology · 2025Article
- Uncertainty quantification of the pressure waveform using a Windkessel model.International journal for numerical methods in biomedical engineering · 2024Article
- Investigation of Relationship between Hemodynamic and Morphometric Characteristics of Aortas in Pediatric Patients.Journal of clinical medicine · 2024Article
- Impact of the Spatial Velocity Inlet Distribution on the Hemodynamics of the Thoracic Aorta.Cardiovascular engineering and technology · 2023Article
- A fast approach to estimating Windkessel model parameters for patient-specific multi-scale CFD simulations of aortic flow.Computers & fluids · 2023Article
- The Influence of Aortic Valve Disease on Coronary Hemodynamics: A Computational Model-Based Study.Bioengineering (Basel, Switzerland) · 2023Article
- Hemodynamic Evaluation of a Centrifugal Left Atrial Decompression Pump for Heart Failure with Preserved Ejection Fraction.Bioengineering (Basel, Switzerland) · 2023Article
- Uncertainty Quantification in the In Vivo Image-Based Estimation of Local Elastic Properties of Vascular Walls.Journal of cardiovascular development and disease · 2023Article
- Quantitative Complexity Theory (QCT) in Integrative Analysis of Cardiovascular Hemodynamic Response to Posture Change.Life (Basel, Switzerland) · 2023Article
- Enabling supra-aortic vessels inclusion in statistical shape models of the aorta: a novel non-rigid registration method.Frontiers in physiology · 2023Article
- Special Issue of the VPH2020 Conference: "Virtual Physiological Human: When Models, Methods and Experiments Meet the Clinic".Annals of biomedical engineering · 2022Article
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Authors and funding
7 authors.
Funding
Abstract
Computational Fluid Dynamics (CFD) simulations of blood flow are widely used to compute a variety of hemodynamic indicators such as velocity, time-varying wall shear stress, pressure drop, and energy losses. One of the major advances of this approach is that it is non-invasive. The accuracy of the cardiovascular simulations depends directly on the level of certainty on input parameters due to the modelling assumptions or computational settings. Physiologically suitable boundary conditions at the inlet and outlet of the computational domain are needed to perform a patient-specific CFD analysis. These conditions are often affected by uncertainties, whose impact can be quantified through a stochastic approach. A methodology based on a full propagation of the uncertainty from clinical data to model results is proposed here. It was possible to estimate the confidence associated with model predictions, differently than by deterministic simulations. We evaluated the effect of using three-element Windkessel models as the outflow boundary conditions of a patient-specific aortic coarctation model. A parameter was introduced to calibrate the resistances of the Windkessel model at the outlets. The generalized Polynomial Chaos method was adopted to perform the stochastic analysis, starting from a few deterministic simulations. Our results show that the uncertainty of the input parameter gave a remarkable variability on the volume flow rate waveform at the systolic peak simulating the conditions before the treatment. The same uncertain parameter had a slighter effect on other quantities of interest, such as the pressure gradient. Furthermore, the results highlight that the fine-tuning of Windkessel resistances is not necessary to simulate the post-stenting scenario.
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