Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling
Transcatheter aortic valve replacement (TAVR) is a rapidly growing field enabling replacement of diseased aortic valves without the need for open heart surgery. However, due to the nature of the procedure and nonremoval of the diseased tissue, there are rates of complications ranging from tissue rup...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | Structural Heart |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2474870622017821 |
| _version_ | 1798031954124210176 |
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| author | Fateme Esmailie, PhD Atefeh Razavi, PhD Breandan Yeats, BS Sri Krishna Sivakumar, BTech Huang Chen, PhD Milad Samaee, PhD Imran A. Shah, BS Alessandro Veneziani, PhD Pradeep Yadav, MD Vinod H. Thourani, MD Lakshmi Prasad Dasi, PhD |
| author_facet | Fateme Esmailie, PhD Atefeh Razavi, PhD Breandan Yeats, BS Sri Krishna Sivakumar, BTech Huang Chen, PhD Milad Samaee, PhD Imran A. Shah, BS Alessandro Veneziani, PhD Pradeep Yadav, MD Vinod H. Thourani, MD Lakshmi Prasad Dasi, PhD |
| author_sort | Fateme Esmailie, PhD |
| collection | DOAJ |
| description | Transcatheter aortic valve replacement (TAVR) is a rapidly growing field enabling replacement of diseased aortic valves without the need for open heart surgery. However, due to the nature of the procedure and nonremoval of the diseased tissue, there are rates of complications ranging from tissue rupture and coronary obstruction to paravalvular leak, valve thrombosis, and permanent pacemaker implantation. In recent years, computational modeling has shown a great deal of promise in its capabilities to understand the biomechanical implications of TAVR as well as help preoperatively predict risks inherent to device–patient-specific anatomy biomechanical interaction. This includes intricate replication of stent and leaflet designs and tested and validated simulated deployments with structural and fluid mechanical simulations. This review outlines current biomechanical understanding of device-related complications from TAVR and related predictive strategies using computational modeling. An outlook on future modeling strategies highlighting reduced order modeling which could significantly reduce the high time and cost that are required for computational prediction of TAVR outcomes is presented in this review paper. A summary of current commercial/in-development software is presented in the final section. |
| first_indexed | 2024-04-11T20:06:03Z |
| format | Article |
| id | doaj.art-982ff798134b4be08203b93997839b78 |
| institution | Directory Open Access Journal |
| issn | 2474-8706 |
| language | English |
| last_indexed | 2024-04-11T20:06:03Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Structural Heart |
| spelling | doaj.art-982ff798134b4be08203b93997839b782022-12-22T04:05:20ZengElsevierStructural Heart2474-87062022-06-0162100032Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive ModelingFateme Esmailie, PhD0Atefeh Razavi, PhD1Breandan Yeats, BS2Sri Krishna Sivakumar, BTech3Huang Chen, PhD4Milad Samaee, PhD5Imran A. Shah, BS6Alessandro Veneziani, PhD7Pradeep Yadav, MD8Vinod H. Thourani, MD9Lakshmi Prasad Dasi, PhD10The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USAThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USAThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USAThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USAThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USAThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USAThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USADepartment of Mathematics, Department of Computer Science, Emory University, Atlanta, Georgia, USADepartment of Cardiology, Marcus Valve Center, Piedmont Heart Institute, Atlanta, Georgia, USADepartment of Cardiovascular Surgery, Marcus Valve Center, Piedmont Heart Institute, Atlanta, Georgia, USAThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology/Emory University School of Medicine, Atlanta, Georgia, USA; Address correspondence to: Lakshmi Prasad Dasi, PhD, Department of Biomedical Engineering, Georgia Institute of Technology, 387 Technology Circle | Office 232, Atlanta, Georgia, 30313-2412, USATranscatheter aortic valve replacement (TAVR) is a rapidly growing field enabling replacement of diseased aortic valves without the need for open heart surgery. However, due to the nature of the procedure and nonremoval of the diseased tissue, there are rates of complications ranging from tissue rupture and coronary obstruction to paravalvular leak, valve thrombosis, and permanent pacemaker implantation. In recent years, computational modeling has shown a great deal of promise in its capabilities to understand the biomechanical implications of TAVR as well as help preoperatively predict risks inherent to device–patient-specific anatomy biomechanical interaction. This includes intricate replication of stent and leaflet designs and tested and validated simulated deployments with structural and fluid mechanical simulations. This review outlines current biomechanical understanding of device-related complications from TAVR and related predictive strategies using computational modeling. An outlook on future modeling strategies highlighting reduced order modeling which could significantly reduce the high time and cost that are required for computational prediction of TAVR outcomes is presented in this review paper. A summary of current commercial/in-development software is presented in the final section.http://www.sciencedirect.com/science/article/pii/S2474870622017821Computational predictive modelsCoronary obstructionLeaflet thrombosisPatient prosthesis mismatchPermanent pacemaker implantationRoot rupture |
| spellingShingle | Fateme Esmailie, PhD Atefeh Razavi, PhD Breandan Yeats, BS Sri Krishna Sivakumar, BTech Huang Chen, PhD Milad Samaee, PhD Imran A. Shah, BS Alessandro Veneziani, PhD Pradeep Yadav, MD Vinod H. Thourani, MD Lakshmi Prasad Dasi, PhD Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling Structural Heart Computational predictive models Coronary obstruction Leaflet thrombosis Patient prosthesis mismatch Permanent pacemaker implantation Root rupture |
| title | Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling |
| title_full | Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling |
| title_fullStr | Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling |
| title_full_unstemmed | Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling |
| title_short | Biomechanics of Transcatheter Aortic Valve Replacement Complications and Computational Predictive Modeling |
| title_sort | biomechanics of transcatheter aortic valve replacement complications and computational predictive modeling |
| topic | Computational predictive models Coronary obstruction Leaflet thrombosis Patient prosthesis mismatch Permanent pacemaker implantation Root rupture |
| url | http://www.sciencedirect.com/science/article/pii/S2474870622017821 |
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