Finite-element analysis of aortic valve-sparing: influence of graft shape and stiffness

2001 ◽  
Vol 48 (6) ◽  
pp. 647-659 ◽  
Author(s):  
K.J. Grande-Allen ◽  
R.P. Cochran ◽  
P.G. Reinhall ◽  
K.S. Kunzelman
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Aortic Valve ◽  
Element Analysis ◽  
Valve Sparing

scholarly journals Complementary Role of the Computed Biomodelling through Finite Element Analysis and Computed Tomography for Diagnosis of Transcatheter Heart Valve Thrombosis

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Francesco Nappi ◽  
Laura Mazzocchi ◽  
Sanjeet Singh Avtaar Singh ◽  
Simone Morganti ◽  
Jean-Louis Sablayrolles ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Finite Element Analysis ◽  
Finite Element ◽  
High Risk ◽  
Aortic Valve ◽  
Aortic Valve Stenosis ◽  
Element Analysis ◽  
Transcatheter Heart Valve ◽  
Aortic Valve Implantation ◽  
Valve Implantation

Introduction. The TAVR procedure is associated with a substantial risk of thrombosis. Current guidelines recommend catheter-based aortic valve implantation for prohibitive-high-risk patients with severe aortic valve stenosis but acknowledge that the aetiology and mechanism of thrombosis are unclear.Methods. From 2015 to 2018, 607 patients with severe aortic valve stenosis underwent either self-expandable or balloon-expandable catheter-based aortic valve implantation at our institute. A complementary study was designed to support computed tomography as a predictor of complications using an advanced biomodelling process through finite element analysis (FEA). The primary evaluation of study was the thrombosis of the valve at 12 months.Results. At 12 months, 546 patients had normal valvular function. 61 patients had THVT while 6 showed thrombosis and dislodgement with deterioration to NYHA Class IV requiring rehospitalization. The FEA biomodelling revealed a strong link between solid uncrushed calcifications, delayed dislodgement of TAVR and late thrombosis. We observed an interesting phenomenon of fibrosis/calcification originating at the level of the misplaced valve, which was the primary cause of coronary obstruction.Conclusion. The use of cardiac CT and predictive biomodelling should be integrated into routine practice for the selection of TAVR candidates and as a predictor of negative outcomes given the lack of accurate investigations available. This would assist in effective decision-making and diagnosis especially in a high-risk cohort of patients.

scholarly journals Finite element analysis of a percutaneous aortic valve stent design

Health ◽  
2009 ◽  
Vol 01 (01) ◽  
pp. 2-7 ◽  
Author(s):  
Gideon Praveen Kumar ◽  
Lazar Mathew
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Aortic Valve ◽  
Stent Design ◽  
Element Analysis

Force distribution within the frame of self-expanding transcatheter aortic valve: Insights from in-vivo finite element analysis

2021 ◽  
Vol 128 ◽  
pp. 110804
Author(s):  
Tian-Yuan Xiong ◽  
Elisa Stoppani ◽  
Matthieu De Beule ◽  
Fei Chen ◽  
Yi-Jian Li ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Aortic Valve ◽  
Force Distribution ◽  
Element Analysis ◽  
Transcatheter Aortic Valve

scholarly journals In Silico Modelling of Aortic Valve Implants – Predicting In Vitro Performance using Finite Element Analysis

2021 ◽  
Author(s):  
Robert Whiting ◽  
Elizabeth Sander ◽  
Claire Conway ◽  
Ted J Vaughan
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Aortic Valve ◽  
In Silico ◽  
Dynamic Parameters ◽  
Valve Design ◽  
Element Analysis ◽  
Orifice Area ◽  
In Silico Modelling

The competing structural and hemodynamic considerations in valve design generally require a large amount of in vitro hydrodynamic and durability testing during development, often resulting in inefficient “trial-and-error” prototyping. While in silico modelling through Finite Element Analysis (FEA) has been widely used to inform valve design by optimizing structural performance, few studies have exploited the potential insight FEA could provide into critical hemodynamic performance characteristics of the valve. The objective of this study is to demonstrate the potential of FEA to predict the hydrodynamic performance of aortic valve implants obtained during development through in vitro testing. Several variations of surgical tri-leaflet aortic valves were de-signed and manufactured using a synthetic polymer and hydrodynamic testing carried out using a pulsatile flow rig according to ISO 5840, with bulk hydro-dynamic parameters measured. In silico models were developed in tandem and suitable surrogate measures were investigated as predictors of the hydro-dynamic parameters. Through regression analysis, the in silico parameters of leaflet coaptation area, geometric orifice area and opening pressure were found to be suitable indicators of experimental in vitro hydrodynamic param-eters: regurgitant fraction, effective orifice area and transvalvular pressure drop performance, respectively.

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