Fluid-structure interaction analysis of transcatheter aortic valve implantation.
computed tomography
fluid-structure interaction
image-based simulations
in-silico predictive investigation
patient-specific analysis
transcatheter aortic valve implantation
Journal
International journal for numerical methods in biomedical engineering
ISSN: 2040-7947
Titre abrégé: Int J Numer Method Biomed Eng
Pays: England
ID NLM: 101530293
Informations de publication
Date de publication:
06 2023
06 2023
Historique:
received:
28
09
2022
accepted:
19
03
2023
medline:
7
6
2023
pubmed:
28
3
2023
entrez:
27
3
2023
Statut:
ppublish
Résumé
Transcatheter aortic valve implantation (TAVI) is a minimally invasive intervention for the treatment of severe aortic valve stenosis. The main cause of failure is the structural deterioration of the implanted prosthetic leaflets, possibly inducing a valvular re-stenosis 5-10 years after the implantation. Based solely on pre-implantation data, the aim of this work is to identify fluid-dynamics and structural indices that may predict the possible valvular deterioration, in order to assist the clinicians in the decision-making phase and in the intervention design. Patient-specific, pre-implantation geometries of the aortic root, the ascending aorta, and the native valvular calcifications were reconstructed from computed tomography images. The stent of the prosthesis was modeled as a hollow cylinder and virtually implanted in the reconstructed domain. The fluid-structure interaction between the blood flow, the stent, and the residual native tissue surrounding the prosthesis was simulated by a computational solver with suitable boundary conditions. Hemodynamical and structural indicators were analyzed for five different patients that underwent TAVI - three with prosthetic valve degeneration and two without degeneration - and the comparison of the results showed a correlation between the leaflets' structural degeneration and the wall shear stress distribution on the proximal aortic wall. This investigation represents a first step towards computational predictive analysis of TAVI degeneration, based on pre-implantation data and without requiring additional peri-operative or follow-up information. Indeed, being able to identify patients more likely to experience degeneration after TAVI may help to schedule a patient-specific timing of follow-up.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e3704Subventions
Organisme : European Research Council
ID : 740132
Pays : International
Informations de copyright
© 2023 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd.
Références
Schoen FJ. Cardiac valves and valvular pathology: update on function, disease, repair, and replacement. Cardiovasc Pathol. 2005;14(4):189-194.
Schwarz F, Baumann P, Manthey J, et al. The effect of aortic valve replacement on survival. Circulation. 1982;66(5):1105-1110.
Vahanian A, Alfieri O, Andreotti F, et al. Guidelines on the management of valvular heart disease (version 2012): the joint task force on the management of valvular heart disease of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS). Eur Heart J. 2012;33(19):2451-2496.
Vy P, Auffret V, Badel P, et al. Review of patient-specific simulations of transcatheter aortic valve implantation. Int J Adv Eng Sci Appl Math. 2016;8(1):2-24.
Carroll JD, Mack MJ, Vemulapalli S, et al. STS-ACC TVT registry of transcatheter aortic valve replacement. J Am Coll Cardiol. 2020;76(21):2492-2516.
Mack MJ, Leon MB, Thourani VH, et al. Transcatheter aortic-valve replacement with a balloon-expandable valve in low-risk patients. N Engl J Med. 2019;380(18):1695-1705.
Ghosh RP, Marom G, Bianchi M, D'souza K, Zietak W, Bluestein D. Numerical evaluation of transcatheter aortic valve performance during heart beating and its post-deployment fluid-structure interaction analysis. Biomech Model Mechanobiol. 2020;19(5):1725-1740.
Luraghi G, Migliavacca F, Garca-González A, et al. On the modeling of patient-specific transcatheter aortic valve replacement: a fluid-structure interaction approach. Cardiovasc Eng Technol. 2019;10(3):437-455.
Czerwińska-Jelonkiewicz K, Michałowska I, Witkowski A, et al. Vascular complications after transcatheter aortic valve implantation (TAVI): risk and long-term results. J Thromb Thrombolysis. 2014;37(4):490-498.
Muratori M, Fusini L, Tamborini G, et al. Five-year echocardiographic follow-up after TAVI: structural and functional changes of a balloon-expandable prosthetic aortic valve. Eur Heart J-Cardiovasc Imaging. 2018;19(4):389-397.
Kataruka A, Otto CM. Valve durability after transcatheter aortic valve implantation. J Thorac Dis. 2018;10(Suppl 30):S3629-S3636.
Kostyunin AE, Yuzhalin AE, Rezvova MA, Ovcharenko EA, Glushkova TV, Kutikhin AG. Degeneration of bioprosthetic heart valves: update 2020. J Am Heart Assoc. 2020;9(19):e018506.
Guglielmo M, Fusini L, Muratori M, et al. Computed tomography predictors of structural valve degeneration in patients undergoing transcatheter aortic valve implantation with balloon-expandable prostheses. Eur Radiol. 2022;32:1-11.
Costa G, Criscione E, Todaro D, Tamburino C, Barbanti M. Long-term transcatheter aortic valve durability. Intervent Cardiol Rev. 2019;14(2):62-69.
Loureiro-Ga M, Veiga C, Fdez-Manin G, et al. Predicting TAVI paravalvular regurgitation outcomes based on numerical simulation of the aortic annulus eccentricity and perivalvular areas. Comput Methods Biomech Biomed Engin. 2021;24:1-9.
Finotello A, Morganti S, Auricchio F. Finite element analysis of TAVI: impact of native aortic root computational modeling strategies on simulation outcomes. Med Eng Phys. 2017;47:2-12.
Pasta S, Cannata S, Gentile G, et al. Simulation study of transcatheter heart valve implantation in patients with stenotic bicuspid aortic valve. Med Biol Eng Comput. 2020;58(4):815-829.
Bosi GM, Capelli C, Cheang MH, et al. A validated computational framework to predict outcomes in TAVI. Sci Rep. 2020;10(1):1-11.
Kopanidis A, Pantos I, Alexopoulos N, Theodorakakos A, Efstathopoulos E, Katritsis D. Aortic flow patterns after simulated implantation of transcatheter aortic valves. Hell J Cardiol. 2015;56(418):428.
Mao W, Wang Q, Kodali S, Sun W. Numerical parametric study of paravalvular leak following a transcatheter aortic valve deployment into a patient-specific aortic root. J Biomech Eng. 2018;140(10):1010071-10100711.
Bianchi M, Marom G, Ghosh RP, et al. Patient-specific simulation of transcatheter aortic valve replacement: impact of deployment options on paravalvular leakage. Biomech Model Mechanobiol. 2019;18(2):435-451.
Becsek B, Pietrasanta L, Obrist D. Turbulent systolic flow downstream of a bioprosthetic aortic valve: velocity spectra, wall shear stresses, and turbulent dissipation rates. Front Physiol. 2020;11:11.
Luraghi G, Matas JFR, Beretta M, Chiozzi N, Iannetti L, Migliavacca F. The impact of calcification patterns in transcatheter aortic valve performance: a fluid-structure interaction analysis. Comput Methods Biomech Biomed Engin. 2020;24:1-9.
Mirsadraee S, Sellers S, Duncan A, Hamadanchi A, Gorog D. Bioprosthetic valve thrombosis and degeneration following transcatheter aortic valve implantation (TAVI). Clin Radiol. 2021;76(1):73-e39.
Todaro D, Picci A, Barbanti M. Current TAVR devices. Card Intervent Today. 2017;11:53-58.
Noorani A, Bapat V. Differences in outcomes and indications between Sapien and CoreValve transcatheter aortic valve implantation prostheses. Intervent Cardiol Rev. 2014;9(2):121-125.
Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A, Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Med Biol Eng Comput. 2008;46(11):1097-1112.
Lorensen WE, Cline HE. Marching cubes: a high resolution 3D surface construction algorithm. ACM Siggraph Comp Graph. 1987;21(4):163-169.
Antiga L, Ene-Iordache B, Remuzzi A. Computational geometry for patient-specific reconstruction and meshing of blood vessels from MR and CT angiography. IEEE Trans Med Imaging. 2003;22(5):674-684.
Meyer M, Desbrun M, Schröder P, Barr AH. Discrete differential-geometry operators for triangulated 2-manifolds. Discrete Differential-Geometry Operators for Triangulated 2-Manifolds. Springer; 2003:35-57.
Cheng CL, Chang HH, Huang PJ, Wang WC, Lin SY. Ex vivo assessment of valve thickness/calcification of patients with calcific aortic stenosis in relation to in vivo clinical outcomes. J Mech Behav Biomed Mater. 2017;74:324-332.
Capellini K, Vignali E, Costa E, et al. Computational fluid dynamic study for aTAA hemodynamics: an integrated image-based and radial basis functions mesh morphing approach. J Biomech Eng. 2018;140(11):111007-111017.
Quarteroni A, Manzoni A, Vergara C. The cardiovascular system: mathematical modelling, numerical algorithms and clinical applications. Acta Numerica. 2017;26:365-590.
Donea J, Giuliani S, Halleux JP. An arbitrary Lagrangian-Eulerian finite element method for transient dynamic fluid-structure interactions. Comput Methods Appl Mech Eng. 1982;33(1-3):689-723.
Deparis S, Forti D, Grandperrin G, Quarteroni A. FaCSI: a block parallel preconditioner for fluid-structure interaction in hemodynamics. J Comput Phys. 2016;327:700-718.
Veneziani A, Vergara C. Flow rate defective boundary conditions in haemodynamics simulations. Int J Numer Methods Fluids. 2005;47(8-9):803-816.
Tezduyar TE. Stabilized finite element formulations for incompressible flow computations. Adv Appl Mech. 1991;28:1-44.
Ganesan S, Srivastava S. ALE-SUPG finite element method for convection-diffusion problems in time-dependent domains: conservative form. Appl Math Comput. 2017;303:128-145.
Nobile F, Pozzoli M, Vergara C. Inexact accurate partitioned algorithms for fluid-structure interaction problems with finite elasticity in haemodynamics. J Comput Phys. 2014;273:598-617.
Crosetto P, Deparis S, Fourestey G, Quarteroni A. Parallel algorithms for fluid-structure interaction problems in haemodynamics. SIAM J Sci Comput. 2011;33(4):1598-1622.
Bertagna L, Deparis S, Formaggia L, Forti D, Veneziani A. The LifeV library: engineering mathematics beyond the proof of concept. arXiv:1710.06596. 2017.
Bonnemain JI, Malossi AC, Lesinigo M, Deparis S, Quarteroni A, von Segesser LK. Numerical simulation of left ventricular assist device implantations: comparing the ascending and the descending aorta cannulations. Med Eng Phys. 2013;35(10):1465-1475.
Guerciotti B, Vergara C, Ippolito S, Quarteroni A, Antona C, Scrofani R. A computational fluid-structure interaction analysis of coronary Y-grafts. Med Eng Phys. 2017;47:117-127.
Vergara C, Le Van D, Quadrio M, Formaggia L, Domanin M. Large eddy simulations of blood dynamics in abdominal aortic aneurysms. Med Eng Phys. 2017;47:38-46.
Fumagalli I, Fedele M, Vergara C, et al. An image-based computational hemodynamics study of the systolic anterior motion of the mitral valve. Comput Biol Med. 2020;123:103922.
Pozzi S, Domanin M, Forzenigo L, et al. A surrogate model for plaque modeling in carotids based on Robin conditions calibrated by cine MRI data. Int J Numer Methods Biomed Eng. 2021;37:e3447.
Bennati L, Vergara C, Domanin M, et al. A computational fluid-structure interaction study for carotids with different atherosclerotic plaques. J Biomech Eng. 2021;143(9):091002.
Gibson LJ. Biomechanics of cellular solids. J Biomech. 2005;38(3):377-399.
Katritsis D, Kaiktsis L, Chaniotis A, Pantos J, Efstathopoulos EP, Marmarelis V. Wall shear stress: theoretical considerations and methods of measurement. Prog Cardiovasc Dis. 2007;49(5):307-329.
Efstathopoulos EP, Patatoukas G, Pantos I, Benekos O, Katritsis D, Kelekis NL. Wall shear stress calculation in ascending aorta using phase contrast magnetic resonance imaging. Investigating effective ways to calculate it in clinical practice. Phys Med. 2008;24(4):175-181.
Khosravi A, Wendler O. TAVI 2018: from guidelines to practice. Eur J Cardiol Pract. 2018;15:29.
Elkayam U, Gardin J, Berkley R, Hughes C, Henry W. The use of Doppler flow velocity measurement to assess the hemodynamic response to vasodilators in patients with heart failure. Circulation. 1983;67(2):377-383.
Johnson NP, Zelis JM, Tonino PA, et al. Pressure gradient vs. flow relationships to characterize the physiology of a severely stenotic aortic valve before and after transcatheter valve implantation. Eur Heart J. 2018;39(28):2646-2655.
Quarteroni A, Veneziani A, Vergara C. Geometric multiscale modeling of the cardiovascular system, between theory and practice. Comput Methods Appl Mech Eng. 2016;302:193-252.