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Fluid-structure interaction analysis of transcatheter aortic valve implantation

Articolo
Data di Pubblicazione:
2023
Citazione:
Fluid-structure interaction analysis of transcatheter aortic valve implantation / I. Fumagalli, R. Polidori, F. Renzi, L. Fusini, A. Quarteroni, G. Pontone, C. Vergara. - In: INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING. - ISSN 2040-7939. - (2023), pp. e3704.1-e3704.19. [Epub ahead of print] [10.1002/cnm.3704]
Abstract:
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.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Transcatheter aortic valve implantation; computed tomography; fluid-structure interaction; image-based simulations; in silico predictive investigation; patient-specific analysis;
Elenco autori:
I. Fumagalli, R. Polidori, F. Renzi, L. Fusini, A. Quarteroni, G. Pontone, C. Vergara
Autori di Ateneo:
POLIDORI REBECCA ( autore )
PONTONE GIANLUCA ( autore )
Link alla scheda completa:
https://air.unimi.it/handle/2434/962578
Link al Full Text:
https://air.unimi.it/retrieve/handle/2434/962578/2192268/Numer%20Methods%20Biomed%20Eng%20-%202023%20-%20Fumagalli%20-%20Fluid%BFstructure%20interaction%20analysis%20of%20transcatheter%20aortic%20valve.pdf
https://air.unimi.it/retrieve/handle/2434/962578/2192270/Numer%20Methods%20Biomed%20Eng%20-%202023%20-%20Fumagalli%20-%20Fluid%BFstructure%20interaction%20analysis%20of%20transcatheter%20aortic%20valve_compressed.pdf
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Settore MED/11 - Malattie dell'Apparato Cardiovascolare
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