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Mutlu O, Saribay M, Yavuz MM, Salman HE, Al-Nabti ARDMH, Yalcin HC. Material modeling and recent findings in transcatheter aortic valve implantation simulations. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 255:108314. [PMID: 39024970 DOI: 10.1016/j.cmpb.2024.108314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/12/2024] [Accepted: 06/28/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND AND OBJECTIVE Transcatheter aortic valve implantation (TAVI) has significantly transformed the management of aortic valve (AV) diseases, presenting a minimally invasive option compared to traditional surgical valve replacement. Computational simulations of TAVI become more popular and offer a detailed investigation by employing patient-specific models. On the other hand, employing accurate material modeling procedures and applying basic modeling steps are crucial to determining reliable numerical results. Therefore, this review aims to outline the basic modeling approaches for TAVI, focusing on material modeling and geometry extraction, as well as summarizing the important findings from recent computational studies to guide future research in the field. METHODS This paper explains the basic steps and important points in setting up and running TAVI simulations. The material properties of the leaflets, valves, stents, and tissues utilized in TAVI simulations are provided, along with a comprehensive explanation of the geometric extraction methods employed. The differences between the finite element analysis, computational fluid dynamics, and fluid-structure interaction approaches are pointed out and the important aspects of TAVI modeling are described by elucidating the recent computational studies. RESULTS The results of the recent findings on TAVI simulations are summarized to demonstrate its powerful potential. It is observed that the material properties of aortic tissues and components of implanted valves should be modeled realistically to determine accurate results. For patient-specific AV geometries, incorporating calcific deposits on the leaflets is essential for ensuring the accuracy of computational findings. The results of numerical TAVI simulations indicate the significance of the selection of optimal valves and precise deployment within the appropriate anatomical position. These factors collectively contribute to the effective functionality of the implanted valve. CONCLUSIONS Recent studies in the literature have revealed the critical importance of patient-specific modeling, the selection of accurate material models, and bio-prosthetic valve diameters. Additionally, these studies emphasize the necessity of precise positioning of bio-prosthetic valves to achieve optimal performance in TAVI, characterized by an increased effective orifice area and minimal paravalvular leakage.
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Affiliation(s)
- Onur Mutlu
- Qatar University, Biomedical Research Center, Doha, Qatar
| | - Murat Saribay
- Istanbul Bilgi University, Mechanical Engineering Department, Istanbul, Turkey
| | - Mehmet Metin Yavuz
- Middle East Technical University, Mechanical Engineering Department, Ankara, Turkey
| | - Huseyin Enes Salman
- TOBB University of Economics and Technology, Department of Mechanical Engineering, Ankara, Turkey
| | | | - Huseyin Cagatay Yalcin
- Qatar University, Biomedical Research Center, Doha, Qatar; Department of Biomedical Science, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
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Shah I, Samaee M, Razavi A, Esmailie F, Ballarin F, Dasi LP, Veneziani A. Reduced Order Modeling for Real-Time Stent Deformation Simulations of Transcatheter Aortic Valve Prostheses. Ann Biomed Eng 2024; 52:208-225. [PMID: 37962675 DOI: 10.1007/s10439-023-03360-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/01/2023] [Indexed: 11/15/2023]
Abstract
Computational modeling can be a critical tool to predict deployment behavior for transcatheter aortic valve replacement (TAVR) in patients with aortic stenosis. However, due to the mechanical complexity of the aortic valve and the multiphysics nature of the problem, described by partial differential equations (PDEs), traditional finite element (FE) modeling of TAVR deployment is computationally expensive. In this preliminary study, a PDEs-based reduced order modeling (ROM) framework is introduced for rapidly simulating structural deformation of the Medtronic Evolut R valve stent frame. Using fifteen probing points from an Evolut model with parametrized loads enforced, 105 FE simulations were performed in the so-called offline phase, creating a snapshot library. The library was used in the online phase of the ROM for a new set of applied loads via the proper orthogonal decomposition-Galerkin (POD-Galerkin) approach. Simulations of small radial deformations of the Evolut stent frame were performed and compared to full order model (FOM) solutions. Linear elastic and hyperelastic constitutive models in steady and unsteady regimes were implemented within the ROM. Since the original POD-Galerkin method is formulated for linear problems, specific methods for the nonlinear terms in the hyperelastic case were employed, namely, the Discrete Empirical Interpolation Method. The ROM solutions were in strong agreement with the FOM in all numerical experiments, with a speed-up of at least 92% in CPU Time. This framework serves as a first step toward real-time predictive models for TAVR deployment simulations.
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Affiliation(s)
- Imran Shah
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 387 Technology Circle, Atlanta, GA, 30313, USA
- Department of Mathematics, Emory University, 400 Dowman Drive, Atlanta, GA, 30322, USA
| | - Milad Samaee
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 387 Technology Circle, Atlanta, GA, 30313, USA
| | - Atefeh Razavi
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 387 Technology Circle, Atlanta, GA, 30313, USA
| | - Fateme Esmailie
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 387 Technology Circle, Atlanta, GA, 30313, USA
| | - Francesco Ballarin
- Department of Mathematics and Physics, Università Cattolica del Sacro Cuore, 48 Via Della Garzetta, 25133, Brescia, Italy
| | - Lakshmi P Dasi
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, 387 Technology Circle, Atlanta, GA, 30313, USA.
| | - Alessandro Veneziani
- Department of Mathematics, Emory University, 400 Dowman Drive, Atlanta, GA, 30322, USA.
- Department of Computer Science, Emory University, 400 Dowman Drive, Atlanta, GA, 30322, USA.
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Nowak M, Divo E, Adamczyk WP. Multiscale model for blood flow after a bileaflet artificial aortic valve implantation. Comput Biol Med 2023; 158:106805. [PMID: 37019010 DOI: 10.1016/j.compbiomed.2023.106805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/15/2023] [Accepted: 03/20/2023] [Indexed: 04/05/2023]
Abstract
Cardiovascular diseases are the leading cause of mortality in the world, mainly due to atherosclerosis and its consequences. The article presents the numerical model of the blood flow through artificial aortic valve. The overset mesh approach was applied to simulate the valve leaflets motion and to realize the moving mesh, in the aortic arch and the main branches of cardiovascular system. To capture the cardiac system's response and the effect of vessel compliance on the outlet pressure, the lumped parameter model has been also included within the solution procedure. Three different turbulence modeling approaches were used and compared - the laminar, k-ϵ and k-ω model. The simulation results were also compared with the model excluding the moving valve geometry and the importance of the lumped parameter model for the outlet boundary condition was analyzed. Proposed numerical model and protocol was found as suitable for performing the virtual operations on the real patient vasculature geometry. The time-efficient turbulence model and overall solving procedure allows to support the clinicians in making decisions about the patient treatment and to predict the results of the future surgery.
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Carbonaro D, Zambon S, Corti A, Gallo D, Morbiducci U, Audenino AL, Chiastra C. Impact of nickel-titanium super-elastic material properties on the mechanical performance of self-expandable transcatheter aortic valves. J Mech Behav Biomed Mater 2023; 138:105623. [PMID: 36535095 DOI: 10.1016/j.jmbbm.2022.105623] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 12/06/2022] [Accepted: 12/11/2022] [Indexed: 12/14/2022]
Abstract
Self-expandable transcatheter aortic valves (TAVs) elastically resume their initial shape when implanted without the need for balloon inflation by virtue of the nickel-titanium (NiTi) frame super-elastic properties. Experimental findings suggest that NiTi mechanical properties can vary markedly because of a strong dependence on the chemical composition and processing operations. In this context, this study presents a computational framework to investigate the impact of the NiTi super-elastic material properties on the TAV mechanical performance. Finite element (FE) analyses of TAV implantation were performed considering two different TAV frames and three idealized aortic root anatomies, evaluating the device mechanical response in terms of pullout force magnitude exerted by the TAV frame and peak maximum principal stress within the aortic root. The widely adopted NiTi constitute model by Auricchio and Taylor (1997) was used. A multi-parametric sensitivity analysis and a multi-objective optimization of the TAV mechanical performance were conducted in relation to the parameters of the NiTi constitutive model. The results highlighted that: five NiTi material model parameters (EA, σtLS, σtUS, σtUE and σcLS) are significantly correlated with the FE outputs; the TAV frame geometry and aortic root anatomy have a marginal effect on the level of influence of each NiTi material parameter; NiTi alloy candidates with pareto-optimal characteristics in terms of TAV mechanical performance can be successfully identified. In conclusion, the proposed computational framework supports the TAV design phase, providing information on the relationship between the super-elastic behavior of the supplied NiTi alloys and the device mechanical response.
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Affiliation(s)
- Dario Carbonaro
- PoliTo(BIO)Med Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy
| | - Sara Zambon
- PoliTo(BIO)Med Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy
| | - Anna Corti
- Laboratory of Biological Structure Mechanics (LaBS), Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy
| | - Diego Gallo
- PoliTo(BIO)Med Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy
| | - Umberto Morbiducci
- PoliTo(BIO)Med Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy
| | - Alberto L Audenino
- PoliTo(BIO)Med Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy
| | - Claudio Chiastra
- PoliTo(BIO)Med Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
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Helbock RT, Anam SB, Kovarovic BJ, Slepian MJ, Hamdan A, Haj-Ali R, Bluestein D. Designing a Novel Asymmetric Transcatheter Aortic Valve for Stenotic Bicuspid Aortic Valves Using Patient-Specific Computational Modeling. Ann Biomed Eng 2023; 51:58-70. [PMID: 36042099 DOI: 10.1007/s10439-022-03039-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 07/25/2022] [Indexed: 01/13/2023]
Abstract
Bicuspid aortic valve (BAV), the most common congenital heart malformation, is characterized by the presence of only two valve leaflets with asymmetrical geometry, resulting in elliptical systolic opening. BAV often leads to early onset of calcific aortic stenosis (AS). Following the rapid expansion of transcatheter aortic valve replacement (TAVR), designed specifically for treating conventional tricuspid AS, BAV patients with AS were initially treated "off-label" with TAVR, which recently gained FDA and CE regulatory approval. Despite its increasing use in BAV, pathological BAV anatomy often leads to complications stemming from mismatched anatomical features. To mitigate these complications, a novel eccentric polymeric TAVR valve incorporating asymmetrical leaflets was designed specifically for BAV anatomies. Computational modeling was used to optimize its asymmetric leaflets for lower functional stresses and improved hemodynamic performance. Deployment and flow were simulated in patient-specific BAV models (n = 6) and compared to a current commercial TAVR valve (Evolut R 29 mm), to assess deployment and flow parameters. The novel eccentric BAV-dedicated valve demonstrated significant improvements in peak systolic orifice area, along with lower jet velocity and wall shear stress (WSS). This feasibility study demonstrates the clinical potential of the first known BAV-dedicated TAVR design, which will foster advancement of patient-dedicated valvular devices.
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Affiliation(s)
- Ryan T Helbock
- Biofluids Research Group, Department of Biomedical Engineering, T8-050 Health Sciences Center, Stony Brook University, Stony Brook, NY11794-8084, USA
| | - Salwa B Anam
- Biofluids Research Group, Department of Biomedical Engineering, T8-050 Health Sciences Center, Stony Brook University, Stony Brook, NY11794-8084, USA
| | - Brandon J Kovarovic
- Biofluids Research Group, Department of Biomedical Engineering, T8-050 Health Sciences Center, Stony Brook University, Stony Brook, NY11794-8084, USA
| | - Marvin J Slepian
- Department of Medicine and Biomedical Engineering Sarver Heart Center, University of Arizona, Tucson, AZ, 85721, USA
| | - Ashraf Hamdan
- Department of Cardiology, Rabin Medical Center, 4941492, Petah Tikva, Israel
| | - Rami Haj-Ali
- School of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, 69978, Tel Aviv, Ramat Aviv, Israel
| | - Danny Bluestein
- Biofluids Research Group, Department of Biomedical Engineering, T8-050 Health Sciences Center, Stony Brook University, Stony Brook, NY11794-8084, USA.
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Finite Element Analysis of Fluid–Structure Interaction in a Model of an L-Type Mg Alloy Stent-Stenosed Coronary Artery System. METALS 2022. [DOI: 10.3390/met12071176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The coronary stent deployment and subsequent service process is a complex geometric/physical nonlinear and fluid–structure coupling system. Analyzing the distribution of stress–strain on the stent is of great significance in studying the deformation and failure behavior. A coupled system dynamics model comprising stenotic coronary artery vessels and L-type Mg alloy stents was established by applying the polynomial hyperelastic constitutive theory. The nonlinear, significant deformation behavior of the stent was systematically studied. The stress–strain distribution of the coupling system during stent deployment was analyzed. The simulation results show that the edges of the supporting body fixed without a bridge are the weakest zone. The stress changes on the inside of the wave of the supporting body are very large, and the residual stress accumulated in this area is the highest. The peak stress of the plaque and the arterial wall was lower than the damage threshold. The velocity of the blood between the wave crest of the supporting body is large and the streamline distribution is concentrated. In addition, the inner surface pressure on the stent is evenly distributed along its axial dimension. The maximum arterial wall shear stress always appears on the inside of the wave crest of the supporting body fixed with a bridge, and, as such, the largest obstacle to the blood flow is in this zone.
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Barati S, Fatouraee N, Nabaei M, Petrini L, Migliavacca F, Luraghi G, Matas JFR. Patient-specific multi-scale design optimization of transcatheter aortic valve stents. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 221:106912. [PMID: 35640391 DOI: 10.1016/j.cmpb.2022.106912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/09/2022] [Accepted: 05/24/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Transcatheter aortic valve implantation (TAVI) has become the standard treatment for a wide range of patients with aortic stenosis. Although some of the TAVI post-operative complications are addressed in newer designs, other complications and lack of long-term and durability data on the performance of these prostheses are limiting this procedure from becoming the standard for heart valve replacements. The design optimization of these devices with the finite element and optimization techniques can help increase their performance quality and reduce the risk of malfunctioning. Most performance metrics of these prostheses are morphology-dependent, and the design and the selection of the device before implantation should be planned for each individual patient. METHODS In this study, a patient-specific aortic root geometry was utilized for the crimping and implantation simulation of 50 stent samples. The results of simulations were then evaluated and used for developing regression models. The strut width and thickness, the number of cells and patterns, the size of stent cells, and the diameter profile of the stent were optimized with two sets of optimization processes. The objective functions included the maximum crimping strain, radial strength, anchorage area, and the eccentricity of the stent. RESULTS The optimization process was successful in finding optimal models with up to 40% decrease in the maximum crimping strain, 261% increase in the radial strength, 67% reduction in the eccentricity, and about an eightfold increase in the anchorage area compared to the reference device. CONCLUSIONS The stents with larger distal diameters perform better in the selected objective functions. They provide better anchorage in the aortic root resulting in a smaller gap between the device and the surrounding tissue and smaller contact pressure. This framework can be used in designing patient-specific stents and improving the performance of these devices and the outcome of the implantation process.
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Affiliation(s)
- Sara Barati
- Biological Fluid Dynamics Research Laboratory, Biomedical Engineering Department, Amirkabir University of Technology, 350 Hafez Ave, Tehran, Iran
| | - Nasser Fatouraee
- Biological Fluid Dynamics Research Laboratory, Biomedical Engineering Department, Amirkabir University of Technology, 350 Hafez Ave, Tehran, Iran.
| | - Malikeh Nabaei
- Biological Fluid Dynamics Research Laboratory, Biomedical Engineering Department, Amirkabir University of Technology, 350 Hafez Ave, Tehran, Iran
| | - Lorenza Petrini
- Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan 20133, Italy
| | - Francesco Migliavacca
- Laboratory of Biological Structure Mechanics (LaBS), Department of Chemistry, Materials, and Chemical Engineering "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan 20133, Italy
| | - Giulia Luraghi
- Laboratory of Biological Structure Mechanics (LaBS), Department of Chemistry, Materials, and Chemical Engineering "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan 20133, Italy.
| | - Josè Felix Rodriguez Matas
- Laboratory of Biological Structure Mechanics (LaBS), Department of Chemistry, Materials, and Chemical Engineering "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan 20133, Italy.
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Thanigaivel S, Priya A, Balakrishnan D, Dutta K, Rajendran S, Soto-Moscoso M. Insight on recent development in metallic biomaterials: Strategies involving synthesis, types and surface modification for advanced therapeutic and biomedical applications. Biochem Eng J 2022. [DOI: 10.1016/j.bej.2022.108522] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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