A validated methodology for patient specific computational modeling of self-expandable transcatheter aortic valve implantation.

Leakage of blood alongside the implant is a relatively frequent and life-limiting complication after transcatheter aortic valve implantation. The aim of this study is to develop and validate a workflow to simulate the implantation prior to the intervention. Based on the simulation outcome, the amount of leakage is estimated in order to evaluate the risk of a severe complication. A finite element model of the stent implantation in 10 patients was created based on a pre-operative computed tomography scan. All 10 patients also received a follow-up computed tomography scan, after the implantation. This scan was used to extract the deformed geometry of the stent and the position of the calcifications for validation of the simulation results. The maximal average perimeter difference between the simulated stent and the post-operative stent is 2.9±2.1mm, and occurs at the bottom of the device. The sensitivity of the simulation to the soft tissue material parameters and aortic root wall thickness was tested. The maximal diameter deviation of 6% occurred when the thickness of the aortic root was doubled. The result of the leakage analysis based on the distance between the simulated stent and the surrounding aortic root corresponded well when no regurgitation was observed. The developed tools have the potential to reduce the occurrence and severity of leakage by providing the clinician with additional information prior to the intervention. The simulated geometry and estimated leakage can help decide on the best implant type, size and position before treatment.

[1]  M. Mack,et al.  Outcomes of surgical aortic valve replacement in high-risk patients: a multiinstitutional study. , 2011, The Annals of thoracic surgery.

[2]  R. Ogden,et al.  A New Constitutive Framework for Arterial Wall Mechanics and a Comparative Study of Material Models , 2000 .

[3]  C. Lillehei,et al.  LEFT RETROGRADE CARDIOANGIOGRAPHY IN ACQUIRED CARDIAC DISEASE: TECHNIC, INDICATIONS AND INTERPRETATIONS IN 700 CASES. , 1964, The American journal of cardiology.

[4]  Gábor Székely,et al.  Simulation of transcatheter aortic valve implantation under consideration of leaflet calcification , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[5]  R. Lange,et al.  Treatment of aortic stenosis with a self-expanding transcatheter valve: the International Multi-centre ADVANCE Study. , 2014, European heart journal.

[6]  Robert H. Anderson,et al.  Anatomy of the Aortic Valvar Complex and Its Implications for Transcatheter Implantation of the Aortic Valve , 2008, Circulation. Cardiovascular interventions.

[7]  Silvia Schievano,et al.  Patient-specific simulations of transcatheter aortic valve stent implantation , 2012, Medical & Biological Engineering & Computing.

[8]  F Auricchio,et al.  Simulation of transcatheter aortic valve implantation: a patient-specific finite element approach , 2014, Computer methods in biomechanics and biomedical engineering.

[9]  S. Pocock,et al.  Transcatheter aortic-valve implantation for aortic stenosis in patients who cannot undergo surgery. , 2010, The New England journal of medicine.

[10]  N. Bruining,et al.  Patient-Specific Computer Modeling to Predict Aortic Regurgitation After Transcatheter Aortic Valve Replacement. , 2016, JACC. Cardiovascular interventions.

[11]  Wei Sun,et al.  Significant differences in the material properties between aged human and porcine aortic tissues. , 2011, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

[12]  Ferdinando Auricchio,et al.  Shape-memory alloys: modelling and numerical simulations of the finite-strain superelastic behavior , 1997 .

[13]  Sanjay Kaul,et al.  2012 ACCF/AATS/SCAI/STS expert consensus document on transcatheter aortic valve replacement. , 2012, Journal of the American College of Cardiology.

[14]  Wei Sun,et al.  Simulations of transcatheter aortic valve implantation: implications for aortic root rupture , 2015, Biomechanics and modeling in mechanobiology.

[15]  N. Bruining,et al.  Patient-specific image-based computer simulation for theprediction of valve morphology and calcium displacement after TAVI with the Medtronic CoreValve and the Edwards SAPIEN valve. , 2016, EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology.

[16]  Vladimir Kolmogorov,et al.  An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision , 2004, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Jos Vander Sloten,et al.  Analyzing the potential of GPGPUs for real-time explicit finite element analysis of soft tissue deformation using CUDA , 2015 .

[18]  C. Vrints,et al.  Aortic regurgitation after transcatheter aortic valve implantation (TAVI) - Angiographic, echocardiographic and hemodynamic assessment in relation to one year outcome. , 2015, International journal of cardiology.

[19]  Scott Lim,et al.  Two-year outcomes after transcatheter or surgical aortic-valve replacement. , 2012, The New England journal of medicine.

[20]  Wei Sun,et al.  Patient-specific modeling of biomechanical interaction in transcatheter aortic valve deployment. , 2012, Journal of biomechanics.

[21]  R. Ogden,et al.  Hyperelastic modelling of arterial layers with distributed collagen fibre orientations , 2006, Journal of The Royal Society Interface.

[22]  Ferdinando Auricchio,et al.  Shape-memory alloys: macromodelling and numerical simulations of the superelastic behavior , 1997 .

[23]  J Vander Sloten,et al.  Non-invasive, energy-based assessment of patient-specific material properties of arterial tissue , 2015, Biomechanics and modeling in mechanobiology.

[24]  J. Dark,et al.  Aortic valve replacement in octogenarians , 2007, Journal of cardiothoracic surgery.

[25]  F Auricchio,et al.  Simulation of transcatheter aortic valve implantation through patient-specific finite element analysis: two clinical cases. , 2014, Journal of biomechanics.

[26]  G. Holzapfel,et al.  Anisotropic mechanical properties of tissue components in human atherosclerotic plaques. , 2004, Journal of biomechanical engineering.

[27]  N. Bressloff,et al.  Assessing the impact of including leaflets in the simulation of TAVI deployment into a patient-specific aortic root , 2016, Computer methods in biomechanics and biomedical engineering.

[28]  G. Holzapfel,et al.  Arterial clamping: finite element simulation and in vivo validation. , 2012, Journal of the mechanical behavior of biomedical materials.