Different Finite Element Strategies to Satisfy Clinical and Engineering Requirements in Modeling a Novel Percutaneous Device

Author(s):  
Claudio Capelli ◽  
Giovanni Biglino ◽  
Lorenza Petrini ◽  
Francesco Migliavacca ◽  
Philipp Bonhoeffer ◽  
...  

By taking into account patient-specific properties, finite element (FE) models can aid in the optimization of the devices’ mechanical performances, accelerating the time of development and reducing testing costs. Patient-specific cardiovascular modeling can also drive the development of novel devices [1], by means of anatomical elements that are more representative than animal surrogates [2], and integrating standard in vitro tests with patient-specific loading conditions [3]. Transcatheter heart valve implantation can particularly benefit from a modeling approach. In the field of treatment of valve dysfunctions, percutaneous techniques are relatively new or under development, and modeling tools can contribute to improve these procedures (e.g. design modifications or different routes for device insertion) and increase patient safety in the early introduction of new devices into clinical practice. For a feasible clinical application, computational methods need to be fully validated against physical data, to take into account patient-specific properties, and to provide results in a short time. Instead, from an engineering perspective, models can cost-effectively aid the design phase by improving preclinical testing with more realistic loading conditions for accurate simulation of mechanical behaviour and prediction of durability. This study aims to identify optimal modeling strategies to respond to both clinical and engineering requirements. As a case study, simulations were conducted on a new percutaneous pulmonary valve implantation (PPVI) device [4] tested within a patient-specific right ventricular outflow tract model.

Materials ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3280
Author(s):  
Raphaël Richert ◽  
Jean-Christophe Farges ◽  
Faleh Tamimi ◽  
Naim Naouar ◽  
Philippe Boisse ◽  
...  

Finite element (FE) models are widely used to investigate the biomechanics of reconstructed premolars. However, parameter identification is a complex step because experimental validation cannot always be conducted. The aim of this study was to collect the experimentally validated FE models of premolars, extract their parameters, and discuss trends. A systematic review was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Records were identified in three electronic databases (MEDLINE [PubMed], Scopus, The Cochrane Library) by two independent reviewers. Twenty-seven parameters dealing with failure criteria, model construction, material laws, boundary conditions, and model validation were extracted from the included articles. From 1306 records, 214 were selected for eligibility and entirely read. Among them, 19 studies were included. A heterogeneity was observed for several parameters associated with failure criteria and model construction. Elasticity, linearity, and isotropy were more often chosen for dental and periodontal tissues with a Young’s modulus mostly set at 18–18.6 GPa for dentine. Loading was mainly simulated by an axial force, and FE models were mostly validated by in vitro tests evaluating tooth strains, but different conditions about experiment type, sample size, and tooth status (intact or restored) were reported. In conclusion, material laws identified herein could be applied to future premolar FE models. However, further investigations such as sensitivity analysis are required for several parameters to clarify their indication.


Author(s):  
Leen Lenaerts ◽  
G. Harry van Lenthe

Preventing femoral fractures is an important goal in osteoporosis research. In order to evaluate a person's fracture risk and to quantify response to treatment, bone competence is best assessed by bone strength. Finite-element (FE) modelling based on medical imaging is considered a very promising technique for the assessment of in vivo femoral bone strength. Over the past decades, a number of different FE models have been presented focusing on the effect of several methodological aspects, such as mesh type, material properties and loading conditions, on the precision and accuracy of these models. In this paper, a review of this work is presented. We conclude that moderate to good predictions can be made, especially when the models are tuned to specific loading scenarios. However, there is room for improvement when multiple loading conditions need to be evaluated. We hypothesize that including anisotropic material properties is the first target. As a proof of the concept, we demonstrate that the main orientation of the femoral bone structure can be calculated from clinical computed tomography scans. We hypothesize that this structural information can be used to estimate the anisotropic bone material properties, and that in the future this could potentially lead to a greater predictive value of FE models for femoral bone strength.


Author(s):  
Michele Conti ◽  
Stefania Marconi ◽  
Ferdinando Auricchio

Endovascular aortic repair is a minimally invasive procedure to treat aortic diseases such as aneurysms and dissections. Thanks to technological advancements, such procedure has steadily shifted from the abdominal aorta towards the ascending part, i.e., near the heart, calling for an extensive and comprehensive benchmarking of (novel) endografts. Given such considerations, we have exploited porcine aorta with a pulse duplicator to analyse the mechanical interaction between the endovascular device and the native tissue. Our results have implications for using the porcine aorta as a model for human aorta in research. Particularly, the combination of in vitro tests performed using ex-vivo tissue, integrated validated patient-specific numerical simulations, mock arteries manufactured by 3D printing, can offer important insight on biomechanical impact of endograft design on post-operative aortic mechanical response.


Author(s):  
Jeffrey E. Bischoff

Constitutive parameters for biological materials are ideally regressed against data from well-designed experiments in which the loading and boundary conditions give rise to a homogeneous region of deformation. Such conditions may exist for healthy tissue within the context of in vitro tests, but rarely are met when attempting to measure parameters physiologically or noninvasively, due to complex boundary conditions or heterogeneous material structure and properties. The ability to estimate parameters in these situations is essential in many clinically relevant studies, including determination of tendon/ligament parameters in whole knee studies, non-destructive evaluation of evolving material parameters in laboratory studies, and estimation of heterogeneous parameters due to local normal or pathologic disruptions in tissue microstructure. In such cases, computational algorithms must be used to regress material parameters for a given constitutive model against the available data, in which the experimental conditions are modeled as accurately as possible without significant regard to complexity. The work presented here is focused on development of an iterative, inverse finite element (FE) algorithm for estimation of material parameters from experimental data obtained from tests with nonlinear complexities from contact, large deformations, and constitutive models.


2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Francesco Nappi ◽  
Laura Mazzocchi ◽  
Sanjeet Singh Avtaar Singh ◽  
Simone Morganti ◽  
Jean-Louis Sablayrolles ◽  
...  

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.


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