In the past decade, Transcatheter Aortic Valve Replacement (TAVI) has been shown to be a feasible, less invasive option to open heart surgery for aortic valve replacement; however, TAVI is indicated only in patients with severe, symptomatic, aortic stenosis and who are considered at high or prohibitive risk for conventional surgery [1]. To date, two different TAVI devices are available on the market — the balloon-expandable Edwards-Sapien® Valve (Edwards Lifesciences, CA, USA) and the self-expandable CoreValve ReValving System® (Medtronic, MN, USA) — with many other devices currently under development and clinical trials. The procedural success rate has been >90% in all studies [1], but vascular complications, electrical conduction abnormalities and paravalvular leak — 65–89% of cases, the majority being trivial to mild, with 0 to 26% moderate and 0 to 10% severe — still remain major safety concerns. In particular, a negative influence of moderate to severe paravalvular leak on survival rates has recently been demonstrated [2].
Skip Nav Destination
ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation
September 11–13, 2013
Washington, DC, USA
Conference Sponsors:
- Bioengineering Division
ISBN:
978-0-7918-5600-0
PROCEEDINGS PAPER
Patient-Specific Computational Simulations of Transcatheter Aortic Valve Implantation (TAVI)
Giorgia M. Bosi,
Giorgia M. Bosi
UCL Institute of Cardiovascular Science, London, UK
Great Ormond Street Hospital for Children, London, UK
Search for other works by this author on:
Claudio Capelli,
Claudio Capelli
UCL Institute of Cardiovascular Science, London, UK
Great Ormond Street Hospital for Children, London, UK
Search for other works by this author on:
Robin Chung,
Robin Chung
University College London Hospitals, London, UK
Search for other works by this author on:
Michael Mullen,
Michael Mullen
University College London Hospitals, London, UK
Search for other works by this author on:
Andrew M. Taylor,
Andrew M. Taylor
UCL Institute of Cardiovascular Science, London, UK
Great Ormond Street Hospital for Children, London, UK
Search for other works by this author on:
Silvia Schievano
Silvia Schievano
UCL Institute of Cardiovascular Science, London, UK
Great Ormond Street Hospital for Children, London, UK
Search for other works by this author on:
Giorgia M. Bosi
UCL Institute of Cardiovascular Science, London, UK
Great Ormond Street Hospital for Children, London, UK
Claudio Capelli
UCL Institute of Cardiovascular Science, London, UK
Great Ormond Street Hospital for Children, London, UK
Robin Chung
University College London Hospitals, London, UK
Michael Mullen
University College London Hospitals, London, UK
Andrew M. Taylor
UCL Institute of Cardiovascular Science, London, UK
Great Ormond Street Hospital for Children, London, UK
Silvia Schievano
UCL Institute of Cardiovascular Science, London, UK
Great Ormond Street Hospital for Children, London, UK
Paper No:
FMD2013-16154, V001T10A041; 2 pages
Published Online:
February 19, 2014
Citation
Bosi, GM, Capelli, C, Chung, R, Mullen, M, Taylor, AM, & Schievano, S. "Patient-Specific Computational Simulations of Transcatheter Aortic Valve Implantation (TAVI)." Proceedings of the ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. Washington, DC, USA. September 11–13, 2013. V001T10A041. ASME. https://doi.org/10.1115/FMD2013-16154
Download citation file:
18
Views
Related Proceedings Papers
Related Articles
Novel Transaortic Double Barrel Ventricular Cannula
J. Med. Devices (June,2009)
Nuclear Multiscale Systems Analysis for Safety and Security
ASME J. Risk Uncertainty Part B (September,2018)
Risk Assessment Methodology for Electric-Current Induced Drowning Accidents
ASME J. Risk Uncertainty Part B (September,2016)
Related Chapters
Insights and Results of the Shutdown PSA for a German SWR 69 Type Reactor (PSAM-0028)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Developing Human Performance Measures (PSAM-0207)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
mDFA Human Empirical Results
Modified Detrended Fluctuation Analysis (mDFA)