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Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement
Transcatheter aortic valve replacement (TAVR) first received FDA approval for high-risk surgical patients in 2011 and has been approved for low-risk surgical patients since 2019. It is now the most common type of aortic valve replacement, and its use continues to accelerate. Computer modeling and si...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832092/ https://www.ncbi.nlm.nih.gov/pubmed/36264408 http://dx.doi.org/10.1007/s10439-022-03047-3 |
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author | Brown, Jordan A. Lee, Jae H. Smith, Margaret Anne Wells, David R. Barrett, Aaron Puelz, Charles Vavalle, John P. Griffith, Boyce E. |
author_facet | Brown, Jordan A. Lee, Jae H. Smith, Margaret Anne Wells, David R. Barrett, Aaron Puelz, Charles Vavalle, John P. Griffith, Boyce E. |
author_sort | Brown, Jordan A. |
collection | PubMed |
description | Transcatheter aortic valve replacement (TAVR) first received FDA approval for high-risk surgical patients in 2011 and has been approved for low-risk surgical patients since 2019. It is now the most common type of aortic valve replacement, and its use continues to accelerate. Computer modeling and simulation (CM&S) is a tool to aid in TAVR device design, regulatory approval, and indication in patient-specific care. This study introduces a computational fluid-structure interaction (FSI) model of TAVR with Medtronic’s CoreValve Evolut R device using the immersed finite element-difference (IFED) method. We perform dynamic simulations of crimping and deployment of the Evolut R, as well as device behavior across the cardiac cycle in a patient-specific aortic root anatomy reconstructed from computed tomography (CT) image data. These IFED simulations, which incorporate biomechanics models fit to experimental tensile test data, automatically capture the contact within the device and between the self-expanding stent and native anatomy. Further, we apply realistic driving and loading conditions based on clinical measurements of human ventricular and aortic pressures and flow rates to demonstrate that our Evolut R model supports a physiological diastolic pressure load and provides informative clinical performance predictions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10439-022-03047-3. |
format | Online Article Text |
id | pubmed-9832092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-98320922023-01-12 Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement Brown, Jordan A. Lee, Jae H. Smith, Margaret Anne Wells, David R. Barrett, Aaron Puelz, Charles Vavalle, John P. Griffith, Boyce E. Ann Biomed Eng S.I. : Modeling for Advancing Regulatory Science Transcatheter aortic valve replacement (TAVR) first received FDA approval for high-risk surgical patients in 2011 and has been approved for low-risk surgical patients since 2019. It is now the most common type of aortic valve replacement, and its use continues to accelerate. Computer modeling and simulation (CM&S) is a tool to aid in TAVR device design, regulatory approval, and indication in patient-specific care. This study introduces a computational fluid-structure interaction (FSI) model of TAVR with Medtronic’s CoreValve Evolut R device using the immersed finite element-difference (IFED) method. We perform dynamic simulations of crimping and deployment of the Evolut R, as well as device behavior across the cardiac cycle in a patient-specific aortic root anatomy reconstructed from computed tomography (CT) image data. These IFED simulations, which incorporate biomechanics models fit to experimental tensile test data, automatically capture the contact within the device and between the self-expanding stent and native anatomy. Further, we apply realistic driving and loading conditions based on clinical measurements of human ventricular and aortic pressures and flow rates to demonstrate that our Evolut R model supports a physiological diastolic pressure load and provides informative clinical performance predictions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10439-022-03047-3. Springer International Publishing 2022-10-20 2023 /pmc/articles/PMC9832092/ /pubmed/36264408 http://dx.doi.org/10.1007/s10439-022-03047-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | S.I. : Modeling for Advancing Regulatory Science Brown, Jordan A. Lee, Jae H. Smith, Margaret Anne Wells, David R. Barrett, Aaron Puelz, Charles Vavalle, John P. Griffith, Boyce E. Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement |
title | Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement |
title_full | Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement |
title_fullStr | Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement |
title_full_unstemmed | Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement |
title_short | Patient–Specific Immersed Finite Element–Difference Model of Transcatheter Aortic Valve Replacement |
title_sort | patient–specific immersed finite element–difference model of transcatheter aortic valve replacement |
topic | S.I. : Modeling for Advancing Regulatory Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832092/ https://www.ncbi.nlm.nih.gov/pubmed/36264408 http://dx.doi.org/10.1007/s10439-022-03047-3 |
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