Porcine and bovine aortic valve comparison for surgical optimization: A fluid-structure interaction modeling study

Li, Caili; Tang, Dalin; Yao, Jing; Shao, Yongfeng; Sun, Haoliang; Hammer, Peter E.; Gong, Chanjuan; Ma, Luyao; Zhang, Yanjuan; Wang, Liang; Han, Young-Min; Yang, Chun; Baird, Christopher

doi:10.1016/j.ijcard.2021.04.051

Cited by 4 publications

(2 citation statements)

References 41 publications

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“…Li et al [37] compared maximum flow rate, maximum pressure, pressure gradient, geometric orifice area, and shear flow stress; it was also shown that bovine pericardial valves have better hemodynamic characteristics and lower leaflet loading compared to porcine pericardial valves. The mean and peak net pressure gradients for the four bovine aortic valve models were 8.1% and 8.4% lower than for the porcine pericardium aortic valve models, respectively.…”

Section: Numerical Modeling For Comparison Of Porcine and Bovine Aort...mentioning

confidence: 99%

Fluid–Structure Interaction Aortic Valve Surgery Simulation: A Review

Kuchumov,

Makashova,

Vladimirov

et al. 2023

Fluids

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The complicated interaction between a fluid flow and a deformable structure is referred to as fluid–structure interaction (FSI). FSI plays a crucial role in the functioning of the aortic valve. Blood exerts stresses on the leaflets as it passes through the opening or shutting valve, causing them to distort and vibrate. The pressure, velocity, and turbulence of the fluid flow have an impact on these deformations and vibrations. Designing artificial valves, diagnosing and predicting valve failure, and improving surgical and interventional treatments all require the understanding and modeling of FSI in aortic valve dynamics. The most popular techniques for simulating and analyzing FSI in aortic valves are computational fluid dynamics (CFD) and finite element analysis (FEA). By studying the relationship between fluid flow and valve deformations, researchers and doctors can gain knowledge about the functioning of valves and possible pathological diseases. Overall, FSI is a complicated phenomenon that has a great impact on how well the aortic valve works. Aortic valve diseases and disorders can be better identified, treated, and managed by comprehending and mimicking this relationship. This article provides a literature review that compiles valve reconstruction methods from 1952 to the present, as well as FSI modeling techniques that can help advance valve reconstruction. The Scopus, PubMed, and ScienceDirect databases were used in the literature search and were structured into several categories. By utilizing FSI modeling, surgeons, researchers, and engineers can predict the behavior of the aortic valve before, during, and after surgery. This predictive capability can contribute to improved surgical planning, as it provides valuable insights into hemodynamic parameters such as blood flow patterns, pressure distributions, and stress analysis. Additionally, FSI modeling can aid in the evaluation of different treatment options and surgical techniques, allowing for the assessment of potential complications and the optimization of surgical outcomes. It can also provide valuable information on the long-term durability and functionality of prosthetic valves. In summary, fluid–structure interaction modeling is an effective tool for predicting the outcomes of aortic valve surgery. It can provide valuable insights into hemodynamic parameters and aid in surgical planning, treatment evaluation, and the optimization of surgical outcomes.

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Section: Numerical Modeling For Comparison Of Porcine and Bovine Aort...mentioning

confidence: 99%

Fluid–Structure Interaction Aortic Valve Surgery Simulation: A Review

Kuchumov,

Makashova,

Vladimirov

et al. 2023

Fluids

View full text Add to dashboard Cite

show abstract

“…Computational fluid dynamics (CFD) is a well-established technique that has been widely used to study hemodynamics of cardiovascular diseases (Taylor and Figueroa, 2009), and can be used to assess the hemodynamic effect of planned surgical interventions (Bove et al, 2003;Sundareswaran et al, 2009;de Zélicourt et al, 2011;Restrepo et al, 2015;Trusty et al, 2019;Toma et al, 2020;Tossas-Betancourt et al, 2020;Li et al, 2021;Primeaux et al, 2021). In this work, we evaluated the feasibility of an endovascular repair considered by the pediatric cardiology team at the University of Michigan C.S.…”

Section: Introductionmentioning

confidence: 99%

Interventional Planning for Endovascular Revision of a Lateral Tunnel Fontan: A Patient-Specific Computational Analysis

et al. 2021

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IntroductionA 2-year-old female with hypoplastic left heart syndrome (HLHS)-variant, a complex congenital heart defect (CHD) characterized by the underdevelopment of the left ventricle, presented with complications following single ventricle palliation. Diagnostic work-up revealed elevated Fontan pathway pressures, as well as significant dilation of the inferior Fontan pathway with inefficient swirling flow and hepatic venous reflux. Due to the frail condition of the patient, the clinical team considered an endovascular revision of the Fontan pathway. In this work, we performed a computational fluid dynamics (CFD) analysis informed by data on anatomy, flow, and pressure to investigate the hemodynamic effect of the endovascular Fontan revision.MethodsA patient-specific anatomical model of the Fontan pathway was constructed from magnetic resonance imaging (MRI) data using the cardiovascular modeling software CardiovasculaR Integrated Modeling and SimulatiON (CRIMSON). We first created and calibrated a pre-intervention 3D-0D multi-scale model of the patient’s circulation using fluid-structure interaction (FSI) analyses and custom lumped parameter models (LPMs), including the Fontan pathway, the single ventricle, arterial and venous systemic, and pulmonary circulations. Model parameters were iteratively tuned until simulation results matched clinical data on flow and pressure. Following calibration of the pre-intervention model, a custom bifurcated endograft was introduced into the anatomical model to virtually assess post-intervention hemodynamics.ResultsThe pre-intervention model successfully reproduced the clinical hemodynamic data on regional flow splits, pressures, and hepatic venous reflux. The proposed endovascular repair model revealed increases of mean and pulse pressure at the inferior vena cava (IVC) of 6 and 29%, respectively. Inflows at the superior vena cava (SVC) and IVC were each reduced by 5%, whereas outflows at the left pulmonary artery (LPA) and right pulmonary artery (RPA) increased by 4%. Hepatic venous reflux increased by 6%.ConclusionOur computational analysis indicated that the proposed endovascular revision would lead to unfavorable hemodynamic conditions. For these reasons, the clinical team decided to forgo the proposed endovascular repair and to reassess the management of this patient. This study confirms the relevance of CFD modeling as a beneficial tool in surgical planning for single ventricle CHD patients.

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Fluid–structure interaction analysis of a healthy aortic valve and its surrounding haemodynamics

Yin,

Armour,

Kandail

et al. 2024

Numer Methods Biomed Eng

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The opening and closing dynamics of the aortic valve (AV) has a strong influence on haemodynamics in the aortic root, and both play a pivotal role in maintaining normal physiological functions of the valve. The aim of this study was to establish a subject‐specific fluid–structure interaction (FSI) workflow capable of simulating the motion of a tricuspid healthy valve and the surrounding haemodynamics under physiologically realistic conditions. A subject‐specific aortic root was reconstructed from magnetic resonance (MR) images acquired from a healthy volunteer, whilst the valve leaflets were built using a parametric model fitted to the subject‐specific aortic root geometry. The material behaviour of the leaflets was described using the isotropic hyperelastic Ogden model, and subject‐specific boundary conditions were derived from 4D‐flow MR imaging (4D‐MRI). Strongly coupled FSI simulations were performed using a finite volume‐based boundary conforming method implemented in FlowVision. Our FSI model was able to simulate the opening and closing of the AV throughout the entire cardiac cycle. Comparisons of simulation results with 4D‐MRI showed a good agreement in key haemodynamic parameters, with stroke volume differing by 7.5% and the maximum jet velocity differing by less than 1%. Detailed analysis of wall shear stress (WSS) on the leaflets revealed much higher WSS on the ventricular side than the aortic side and different spatial patterns amongst the three leaflets.

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Porcine and bovine aortic valve comparison for surgical optimization: A fluid-structure interaction modeling study

Cited by 4 publications

References 41 publications

Fluid–Structure Interaction Aortic Valve Surgery Simulation: A Review

Fluid–Structure Interaction Aortic Valve Surgery Simulation: A Review

Interventional Planning for Endovascular Revision of a Lateral Tunnel Fontan: A Patient-Specific Computational Analysis

Fluid–structure interaction analysis of a healthy aortic valve and its surrounding haemodynamics

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