Cardiovascular Engineering and Technology

, Volume 2, Issue 3, pp 186–195 | Cite as

Fluid Simulation of a Transcatheter Aortic Valve Deployment into a Patient-Specific Aortic Root

Article

Abstract

Successful transcatheter aortic valve (TAV) deployment and function are heavily reliant on the implant-host tissue interaction. Many adverse events observed clinically in TAV procedures such as impairment of coronary artery flow, paravalvular leak, and access site injury could be attributed to improper TAV deployment and interaction with the aortic root. In this study, we performed a computational analysis of the TAV-aortic root interaction, particularly the hemodynamics before and after TAV deployment. Utilizing a recently developed computational TAV model, we simulated the deployment of this TAV into a 68 year old male patient. The geometry of the patient’s aortic valve and root were extracted from clinical CT images. From the simulation results, we obtained a peak transvalvular pressure drop of 78.45 and 25.27 mmHg before and after the TAV deployment, respectively. The mean systolic ejection transvalvular pressure reduced from 45.8 to 7.55 mmHg and effective orifice area (EOA) increased from 0.53 to 1.595 cm2 following the TAV intervention. The altered flow pattern following TAV intervention resulted in a significant pressure drop in the vicinity of the sinuses of Valsalva, and a corresponding decrease in percentage of cardiac output reaching the coronary arteries from 5.14 to 4.07% from pre- to post-TAV deployment. In conclusion, the developed computational models allow for a quantitative analysis of the hemodynamics before and after TAV intervention, and thus could be an enabling tool for patient screening and TAV design improvement.

Keywords

Finite element analysis Computational fluid dynamics Transcatheter percutaneous aortic valve Patient-specific modeling 

Notes

Acknowledgments

We would like to thank Charles Primiano, M.D. and Raymond McKay, M.D. of Hartford Hospital in Hartford, CT for providing the CT scans used for geometry reconstruction, as well as Thuy Pham and Caitlin Martin for providing the human aortic tissue biaxial testing data. Research for this project was funded in part by the State of Connecticut Department of Public Health biomedical research grant DPH #2010-0085 and a NSF GRFP Pre-doctoral Fellowship.

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Copyright information

© Biomedical Engineering Society 2011

Authors and Affiliations

  1. 1.Tissue Mechanics Lab, Biomedical Engineering Program, Mechanical Engineering DepartmentUniversity of ConnecticutStorrsUSA

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