Patient-specific simulation of transcatheter aortic valve replacement: impact of deployment options on paravalvular leakage
Transcatheter aortic valve replacement (TAVR) has emerged as an effective alternative to conventional surgical valve replacement in high-risk patients afflicted by severe aortic stenosis. Despite newer-generation devices enhancements, post-procedural complications such as paravalvular leakage (PVL)...
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description | Transcatheter aortic valve replacement (TAVR) has emerged as an effective alternative to conventional surgical valve replacement in high-risk patients afflicted by severe aortic stenosis. Despite newer-generation devices enhancements, post-procedural complications such as paravalvular leakage (PVL) and related thromboembolic events have been hindering TAVR expansion into lower-risk patients. Computational methods can be used to build and simulate patient-specific deployment of transcatheter aortic valves (TAVs) and help predict the occurrence and degree of PVL. In this study finite element analysis and computational fluid dynamics were used to investigate the influence of procedural parameters on post-deployment hemodynamics on three retrospective clinical cases affected by PVL. Specifically, TAV implantation depth and balloon inflation volume effects on stent anchorage, degree of paravalvular regurgitation and thrombogenic potential were analyzed for cases in which Edwards SAPIEN and Medtronic CoreValve were employed. CFD results were in good agreement with corresponding echocardiography data measured in patients in terms of the PVL jets locations and overall PVL degree. Furthermore, parametric analyses demonstrated that positioning and balloon over-expansion may have a direct impact on the post-deployment TAVR performance, achieving as high as 47% in PVL volume reduction. While the model predicted very well clinical data, further validation on a larger cohort of patients is needed to verify the level of the model’s predictions in various patient-specific conditions. This study demonstrated that rigorous and realistic patient-specific numerical models could potentially serve as a valuable tool to assist physicians in pre-operative TAVR planning and TAV selection to ultimately reduce the risk of clinical complications. |
doi_str_mv | 10.1007/s10237-018-1094-8 |
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Despite newer-generation devices enhancements, post-procedural complications such as paravalvular leakage (PVL) and related thromboembolic events have been hindering TAVR expansion into lower-risk patients. Computational methods can be used to build and simulate patient-specific deployment of transcatheter aortic valves (TAVs) and help predict the occurrence and degree of PVL. In this study finite element analysis and computational fluid dynamics were used to investigate the influence of procedural parameters on post-deployment hemodynamics on three retrospective clinical cases affected by PVL. Specifically, TAV implantation depth and balloon inflation volume effects on stent anchorage, degree of paravalvular regurgitation and thrombogenic potential were analyzed for cases in which Edwards SAPIEN and Medtronic CoreValve were employed. CFD results were in good agreement with corresponding echocardiography data measured in patients in terms of the PVL jets locations and overall PVL degree. Furthermore, parametric analyses demonstrated that positioning and balloon over-expansion may have a direct impact on the post-deployment TAVR performance, achieving as high as 47% in PVL volume reduction. While the model predicted very well clinical data, further validation on a larger cohort of patients is needed to verify the level of the model’s predictions in various patient-specific conditions. This study demonstrated that rigorous and realistic patient-specific numerical models could potentially serve as a valuable tool to assist physicians in pre-operative TAVR planning and TAV selection to ultimately reduce the risk of clinical complications.</description><identifier>ISSN: 1617-7959</identifier><identifier>EISSN: 1617-7940</identifier><identifier>DOI: 10.1007/s10237-018-1094-8</identifier><identifier>PMID: 30460623</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aortic stenosis ; Aortic valve ; Aortic Valve - surgery ; Balloon treatment ; Biological and Medical Physics ; Biomedical Engineering and Bioengineering ; Biophysics ; Blood Flow Velocity - physiology ; Computational fluid dynamics ; Computer applications ; Computer Simulation ; Echocardiography ; Engineering ; Finite element method ; Fluid dynamics ; Hemodynamics ; Hemodynamics - physiology ; Humans ; Hydrodynamics ; Implantation ; Implants ; Leakage ; Mathematical models ; Original Paper ; Patients ; Physicians ; Predictions ; Regional Blood Flow - physiology ; Regurgitation ; Risk ; Risk groups ; Space life sciences ; Stenosis ; Stents ; Stress, Mechanical ; Surgical implants ; Surgical instruments ; Theoretical and Applied Mechanics ; Thromboembolism ; Thrombosis - pathology ; Transcatheter Aortic Valve Replacement</subject><ispartof>Biomechanics and modeling in mechanobiology, 2019-04, Vol.18 (2), p.435-451</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Biomechanics and Modeling in Mechanobiology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-a9a20b581c5fc4da338e754ab69ea743d9ef868a9111735839393708981b2a473</citedby><cites>FETCH-LOGICAL-c470t-a9a20b581c5fc4da338e754ab69ea743d9ef868a9111735839393708981b2a473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10237-018-1094-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10237-018-1094-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30460623$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bianchi, Matteo</creatorcontrib><creatorcontrib>Marom, Gil</creatorcontrib><creatorcontrib>Ghosh, Ram P.</creatorcontrib><creatorcontrib>Rotman, Oren M.</creatorcontrib><creatorcontrib>Parikh, Puja</creatorcontrib><creatorcontrib>Gruberg, Luis</creatorcontrib><creatorcontrib>Bluestein, Danny</creatorcontrib><title>Patient-specific simulation of transcatheter aortic valve replacement: impact of deployment options on paravalvular leakage</title><title>Biomechanics and modeling in mechanobiology</title><addtitle>Biomech Model Mechanobiol</addtitle><addtitle>Biomech Model Mechanobiol</addtitle><description>Transcatheter aortic valve replacement (TAVR) has emerged as an effective alternative to conventional surgical valve replacement in high-risk patients afflicted by severe aortic stenosis. Despite newer-generation devices enhancements, post-procedural complications such as paravalvular leakage (PVL) and related thromboembolic events have been hindering TAVR expansion into lower-risk patients. Computational methods can be used to build and simulate patient-specific deployment of transcatheter aortic valves (TAVs) and help predict the occurrence and degree of PVL. In this study finite element analysis and computational fluid dynamics were used to investigate the influence of procedural parameters on post-deployment hemodynamics on three retrospective clinical cases affected by PVL. Specifically, TAV implantation depth and balloon inflation volume effects on stent anchorage, degree of paravalvular regurgitation and thrombogenic potential were analyzed for cases in which Edwards SAPIEN and Medtronic CoreValve were employed. CFD results were in good agreement with corresponding echocardiography data measured in patients in terms of the PVL jets locations and overall PVL degree. Furthermore, parametric analyses demonstrated that positioning and balloon over-expansion may have a direct impact on the post-deployment TAVR performance, achieving as high as 47% in PVL volume reduction. While the model predicted very well clinical data, further validation on a larger cohort of patients is needed to verify the level of the model’s predictions in various patient-specific conditions. This study demonstrated that rigorous and realistic patient-specific numerical models could potentially serve as a valuable tool to assist physicians in pre-operative TAVR planning and TAV selection to ultimately reduce the risk of clinical complications.</description><subject>Aortic stenosis</subject><subject>Aortic valve</subject><subject>Aortic Valve - surgery</subject><subject>Balloon treatment</subject><subject>Biological and Medical Physics</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biophysics</subject><subject>Blood Flow Velocity - physiology</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computer Simulation</subject><subject>Echocardiography</subject><subject>Engineering</subject><subject>Finite element method</subject><subject>Fluid dynamics</subject><subject>Hemodynamics</subject><subject>Hemodynamics - physiology</subject><subject>Humans</subject><subject>Hydrodynamics</subject><subject>Implantation</subject><subject>Implants</subject><subject>Leakage</subject><subject>Mathematical models</subject><subject>Original Paper</subject><subject>Patients</subject><subject>Physicians</subject><subject>Predictions</subject><subject>Regional Blood Flow - physiology</subject><subject>Regurgitation</subject><subject>Risk</subject><subject>Risk groups</subject><subject>Space life sciences</subject><subject>Stenosis</subject><subject>Stents</subject><subject>Stress, Mechanical</subject><subject>Surgical implants</subject><subject>Surgical instruments</subject><subject>Theoretical and Applied Mechanics</subject><subject>Thromboembolism</subject><subject>Thrombosis - pathology</subject><subject>Transcatheter Aortic Valve Replacement</subject><issn>1617-7959</issn><issn>1617-7940</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kUuLFDEUhYMozjj6A9xIwI2b0rwqDxfCMOiMMKALXYfb6Vs9NVZVyiTVMPjnTdFj-wAJJOHmOyf3cgh5ztlrzph5kzkT0jSM24Yzpxr7gJxyzU1jnGIPj_fWnZAnOd8yJpi08jE5kUxppoU8JT8-Q-lxKk2eMfRdH2jux2WoxTjR2NGSYMoByg0WTBRiKhXZw7BHmnAeIOBY1W9pP84QyqrY1nK8W6s0zqtNptVqhgSrrFonOiB8gx0-JY86GDI-uz_PyNcP779cXDXXny4_XpxfN0EZVhpwINimtTy0XVBbkNKiaRVstEMwSm4ddlZbcJxzI1srXV2GWWf5RoAy8oy8O_jOy2bEbaitJRj8nPoR0p2P0Pu_X6b-xu_i3mtltBS2Gry6N0jx-4K5-LHPAYcBJoxL9oJL3SornKzoy3_Q27ikqY63Uq2tm9CV4gcqpJhzwu7YDGd-jdYfovU1Wr9G69cmXvw5xVHxK8sKiAOQ69O0w_T76_-7_gQ_FLFv</recordid><startdate>20190401</startdate><enddate>20190401</enddate><creator>Bianchi, Matteo</creator><creator>Marom, Gil</creator><creator>Ghosh, Ram P.</creator><creator>Rotman, Oren M.</creator><creator>Parikh, Puja</creator><creator>Gruberg, Luis</creator><creator>Bluestein, Danny</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TB</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190401</creationdate><title>Patient-specific simulation of transcatheter aortic valve replacement: impact of deployment options on paravalvular leakage</title><author>Bianchi, Matteo ; Marom, Gil ; Ghosh, Ram P. ; Rotman, Oren M. ; Parikh, Puja ; Gruberg, Luis ; Bluestein, Danny</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-a9a20b581c5fc4da338e754ab69ea743d9ef868a9111735839393708981b2a473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aortic stenosis</topic><topic>Aortic valve</topic><topic>Aortic Valve - surgery</topic><topic>Balloon treatment</topic><topic>Biological and Medical Physics</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biophysics</topic><topic>Blood Flow Velocity - physiology</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Computer Simulation</topic><topic>Echocardiography</topic><topic>Engineering</topic><topic>Finite element method</topic><topic>Fluid dynamics</topic><topic>Hemodynamics</topic><topic>Hemodynamics - physiology</topic><topic>Humans</topic><topic>Hydrodynamics</topic><topic>Implantation</topic><topic>Implants</topic><topic>Leakage</topic><topic>Mathematical models</topic><topic>Original Paper</topic><topic>Patients</topic><topic>Physicians</topic><topic>Predictions</topic><topic>Regional Blood Flow - physiology</topic><topic>Regurgitation</topic><topic>Risk</topic><topic>Risk groups</topic><topic>Space life sciences</topic><topic>Stenosis</topic><topic>Stents</topic><topic>Stress, Mechanical</topic><topic>Surgical implants</topic><topic>Surgical instruments</topic><topic>Theoretical and Applied Mechanics</topic><topic>Thromboembolism</topic><topic>Thrombosis - pathology</topic><topic>Transcatheter Aortic Valve Replacement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bianchi, Matteo</creatorcontrib><creatorcontrib>Marom, Gil</creatorcontrib><creatorcontrib>Ghosh, Ram P.</creatorcontrib><creatorcontrib>Rotman, Oren M.</creatorcontrib><creatorcontrib>Parikh, Puja</creatorcontrib><creatorcontrib>Gruberg, Luis</creatorcontrib><creatorcontrib>Bluestein, Danny</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biomechanics and modeling in mechanobiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bianchi, Matteo</au><au>Marom, Gil</au><au>Ghosh, Ram P.</au><au>Rotman, Oren M.</au><au>Parikh, Puja</au><au>Gruberg, Luis</au><au>Bluestein, Danny</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patient-specific simulation of transcatheter aortic valve replacement: impact of deployment options on paravalvular leakage</atitle><jtitle>Biomechanics and modeling in mechanobiology</jtitle><stitle>Biomech Model Mechanobiol</stitle><addtitle>Biomech Model Mechanobiol</addtitle><date>2019-04-01</date><risdate>2019</risdate><volume>18</volume><issue>2</issue><spage>435</spage><epage>451</epage><pages>435-451</pages><issn>1617-7959</issn><eissn>1617-7940</eissn><abstract>Transcatheter aortic valve replacement (TAVR) has emerged as an effective alternative to conventional surgical valve replacement in high-risk patients afflicted by severe aortic stenosis. Despite newer-generation devices enhancements, post-procedural complications such as paravalvular leakage (PVL) and related thromboembolic events have been hindering TAVR expansion into lower-risk patients. Computational methods can be used to build and simulate patient-specific deployment of transcatheter aortic valves (TAVs) and help predict the occurrence and degree of PVL. In this study finite element analysis and computational fluid dynamics were used to investigate the influence of procedural parameters on post-deployment hemodynamics on three retrospective clinical cases affected by PVL. Specifically, TAV implantation depth and balloon inflation volume effects on stent anchorage, degree of paravalvular regurgitation and thrombogenic potential were analyzed for cases in which Edwards SAPIEN and Medtronic CoreValve were employed. CFD results were in good agreement with corresponding echocardiography data measured in patients in terms of the PVL jets locations and overall PVL degree. Furthermore, parametric analyses demonstrated that positioning and balloon over-expansion may have a direct impact on the post-deployment TAVR performance, achieving as high as 47% in PVL volume reduction. While the model predicted very well clinical data, further validation on a larger cohort of patients is needed to verify the level of the model’s predictions in various patient-specific conditions. This study demonstrated that rigorous and realistic patient-specific numerical models could potentially serve as a valuable tool to assist physicians in pre-operative TAVR planning and TAV selection to ultimately reduce the risk of clinical complications.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30460623</pmid><doi>10.1007/s10237-018-1094-8</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aortic stenosis Aortic valve Aortic Valve - surgery Balloon treatment Biological and Medical Physics Biomedical Engineering and Bioengineering Biophysics Blood Flow Velocity - physiology Computational fluid dynamics Computer applications Computer Simulation Echocardiography Engineering Finite element method Fluid dynamics Hemodynamics Hemodynamics - physiology Humans Hydrodynamics Implantation Implants Leakage Mathematical models Original Paper Patients Physicians Predictions Regional Blood Flow - physiology Regurgitation Risk Risk groups Space life sciences Stenosis Stents Stress, Mechanical Surgical implants Surgical instruments Theoretical and Applied Mechanics Thromboembolism Thrombosis - pathology Transcatheter Aortic Valve Replacement |
title | Patient-specific simulation of transcatheter aortic valve replacement: impact of deployment options on paravalvular leakage |
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