Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve
Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacemen...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
El Faquir, Nahid [verfasserIn] De Backer, Ole [verfasserIn] Bosmans, Johan [verfasserIn] Rudolph, Tanja [verfasserIn] Buzzatti, Nicola [verfasserIn] Bieliauskas, Gintautas [verfasserIn] Collas, Valerie [verfasserIn] Wienemann, Hendrik [verfasserIn] Schiavi, Davide [verfasserIn] Cummins, Paul [verfasserIn] Rahhab, Zouhair [verfasserIn] Kroon, Herbert [verfasserIn] Wolff, Quinten [verfasserIn] Lenzen, Mattie [verfasserIn] Ribeiro, Joana Maria [verfasserIn] Latib, Azeem [verfasserIn] Adam, Matti [verfasserIn] Søndergaard, Lars [verfasserIn] Ren, Ben [verfasserIn] Van Mieghem, Nicolas [verfasserIn] de Jaegere, Peter [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: JACC Cardiovascular interventions - American College of Cardiology ; ID: gnd/1017722-X, New York, NY : Elsevier, 2008, 13, Seite 1803-1812 |
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| Übergeordnetes Werk: |
volume:13 ; pages:1803-1812 |
| DOI / URN: |
10.1016/j.jcin.2020.04.018 |
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| Katalog-ID: |
ELV004459032 |
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| 024 | 7 | |a 10.1016/j.jcin.2020.04.018 |2 doi | |
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| 245 | 1 | 0 | |a Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve |
| 264 | 1 | |c 2020 | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. | ||
| 650 | 4 | |a aortic stenosis | |
| 650 | 4 | |a computer simulation | |
| 650 | 4 | |a TAVR | |
| 700 | 1 | |a De Backer, Ole |e verfasserin |4 aut | |
| 700 | 1 | |a Bosmans, Johan |e verfasserin |4 aut | |
| 700 | 1 | |a Rudolph, Tanja |e verfasserin |4 aut | |
| 700 | 1 | |a Buzzatti, Nicola |e verfasserin |4 aut | |
| 700 | 1 | |a Bieliauskas, Gintautas |e verfasserin |4 aut | |
| 700 | 1 | |a Collas, Valerie |e verfasserin |4 aut | |
| 700 | 1 | |a Wienemann, Hendrik |e verfasserin |4 aut | |
| 700 | 1 | |a Schiavi, Davide |e verfasserin |4 aut | |
| 700 | 1 | |a Cummins, Paul |e verfasserin |4 aut | |
| 700 | 1 | |a Rahhab, Zouhair |e verfasserin |4 aut | |
| 700 | 1 | |a Kroon, Herbert |e verfasserin |4 aut | |
| 700 | 1 | |a Wolff, Quinten |e verfasserin |4 aut | |
| 700 | 1 | |a Lenzen, Mattie |e verfasserin |4 aut | |
| 700 | 1 | |a Ribeiro, Joana Maria |e verfasserin |4 aut | |
| 700 | 1 | |a Latib, Azeem |e verfasserin |4 aut | |
| 700 | 1 | |a Adam, Matti |e verfasserin |4 aut | |
| 700 | 1 | |a Søndergaard, Lars |e verfasserin |4 aut | |
| 700 | 1 | |a Ren, Ben |e verfasserin |4 aut | |
| 700 | 1 | |a Van Mieghem, Nicolas |e verfasserin |4 aut | |
| 700 | 1 | |a de Jaegere, Peter |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |a American College of Cardiology ; ID: gnd/1017722-X |t JACC Cardiovascular interventions |d New York, NY : Elsevier, 2008 |g 13, Seite 1803-1812 |h Online-Ressource |w (DE-627)578539160 |w (DE-600)2452163-2 |w (DE-576)294403027 |x 1876-7605 |7 nnns |
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2020 |
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10.1016/j.jcin.2020.04.018 doi (DE-627)ELV004459032 (ELSEVIER)S1936-8798(20)30959-6 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl El Faquir, Nahid verfasserin aut Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. aortic stenosis computer simulation TAVR De Backer, Ole verfasserin aut Bosmans, Johan verfasserin aut Rudolph, Tanja verfasserin aut Buzzatti, Nicola verfasserin aut Bieliauskas, Gintautas verfasserin aut Collas, Valerie verfasserin aut Wienemann, Hendrik verfasserin aut Schiavi, Davide verfasserin aut Cummins, Paul verfasserin aut Rahhab, Zouhair verfasserin aut Kroon, Herbert verfasserin aut Wolff, Quinten verfasserin aut Lenzen, Mattie verfasserin aut Ribeiro, Joana Maria verfasserin aut Latib, Azeem verfasserin aut Adam, Matti verfasserin aut Søndergaard, Lars verfasserin aut Ren, Ben verfasserin aut Van Mieghem, Nicolas verfasserin aut de Jaegere, Peter verfasserin aut Enthalten in American College of Cardiology ; ID: gnd/1017722-X JACC Cardiovascular interventions New York, NY : Elsevier, 2008 13, Seite 1803-1812 Online-Ressource (DE-627)578539160 (DE-600)2452163-2 (DE-576)294403027 1876-7605 nnns volume:13 pages:1803-1812 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.85 Kardiologie Angiologie AR 13 1803-1812 |
| spelling |
10.1016/j.jcin.2020.04.018 doi (DE-627)ELV004459032 (ELSEVIER)S1936-8798(20)30959-6 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl El Faquir, Nahid verfasserin aut Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. aortic stenosis computer simulation TAVR De Backer, Ole verfasserin aut Bosmans, Johan verfasserin aut Rudolph, Tanja verfasserin aut Buzzatti, Nicola verfasserin aut Bieliauskas, Gintautas verfasserin aut Collas, Valerie verfasserin aut Wienemann, Hendrik verfasserin aut Schiavi, Davide verfasserin aut Cummins, Paul verfasserin aut Rahhab, Zouhair verfasserin aut Kroon, Herbert verfasserin aut Wolff, Quinten verfasserin aut Lenzen, Mattie verfasserin aut Ribeiro, Joana Maria verfasserin aut Latib, Azeem verfasserin aut Adam, Matti verfasserin aut Søndergaard, Lars verfasserin aut Ren, Ben verfasserin aut Van Mieghem, Nicolas verfasserin aut de Jaegere, Peter verfasserin aut Enthalten in American College of Cardiology ; ID: gnd/1017722-X JACC Cardiovascular interventions New York, NY : Elsevier, 2008 13, Seite 1803-1812 Online-Ressource (DE-627)578539160 (DE-600)2452163-2 (DE-576)294403027 1876-7605 nnns volume:13 pages:1803-1812 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.85 Kardiologie Angiologie AR 13 1803-1812 |
| allfields_unstemmed |
10.1016/j.jcin.2020.04.018 doi (DE-627)ELV004459032 (ELSEVIER)S1936-8798(20)30959-6 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl El Faquir, Nahid verfasserin aut Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. aortic stenosis computer simulation TAVR De Backer, Ole verfasserin aut Bosmans, Johan verfasserin aut Rudolph, Tanja verfasserin aut Buzzatti, Nicola verfasserin aut Bieliauskas, Gintautas verfasserin aut Collas, Valerie verfasserin aut Wienemann, Hendrik verfasserin aut Schiavi, Davide verfasserin aut Cummins, Paul verfasserin aut Rahhab, Zouhair verfasserin aut Kroon, Herbert verfasserin aut Wolff, Quinten verfasserin aut Lenzen, Mattie verfasserin aut Ribeiro, Joana Maria verfasserin aut Latib, Azeem verfasserin aut Adam, Matti verfasserin aut Søndergaard, Lars verfasserin aut Ren, Ben verfasserin aut Van Mieghem, Nicolas verfasserin aut de Jaegere, Peter verfasserin aut Enthalten in American College of Cardiology ; ID: gnd/1017722-X JACC Cardiovascular interventions New York, NY : Elsevier, 2008 13, Seite 1803-1812 Online-Ressource (DE-627)578539160 (DE-600)2452163-2 (DE-576)294403027 1876-7605 nnns volume:13 pages:1803-1812 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.85 Kardiologie Angiologie AR 13 1803-1812 |
| allfieldsGer |
10.1016/j.jcin.2020.04.018 doi (DE-627)ELV004459032 (ELSEVIER)S1936-8798(20)30959-6 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl El Faquir, Nahid verfasserin aut Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. aortic stenosis computer simulation TAVR De Backer, Ole verfasserin aut Bosmans, Johan verfasserin aut Rudolph, Tanja verfasserin aut Buzzatti, Nicola verfasserin aut Bieliauskas, Gintautas verfasserin aut Collas, Valerie verfasserin aut Wienemann, Hendrik verfasserin aut Schiavi, Davide verfasserin aut Cummins, Paul verfasserin aut Rahhab, Zouhair verfasserin aut Kroon, Herbert verfasserin aut Wolff, Quinten verfasserin aut Lenzen, Mattie verfasserin aut Ribeiro, Joana Maria verfasserin aut Latib, Azeem verfasserin aut Adam, Matti verfasserin aut Søndergaard, Lars verfasserin aut Ren, Ben verfasserin aut Van Mieghem, Nicolas verfasserin aut de Jaegere, Peter verfasserin aut Enthalten in American College of Cardiology ; ID: gnd/1017722-X JACC Cardiovascular interventions New York, NY : Elsevier, 2008 13, Seite 1803-1812 Online-Ressource (DE-627)578539160 (DE-600)2452163-2 (DE-576)294403027 1876-7605 nnns volume:13 pages:1803-1812 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.85 Kardiologie Angiologie AR 13 1803-1812 |
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10.1016/j.jcin.2020.04.018 doi (DE-627)ELV004459032 (ELSEVIER)S1936-8798(20)30959-6 DE-627 ger DE-627 rda eng 610 DE-600 44.85 bkl El Faquir, Nahid verfasserin aut Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. aortic stenosis computer simulation TAVR De Backer, Ole verfasserin aut Bosmans, Johan verfasserin aut Rudolph, Tanja verfasserin aut Buzzatti, Nicola verfasserin aut Bieliauskas, Gintautas verfasserin aut Collas, Valerie verfasserin aut Wienemann, Hendrik verfasserin aut Schiavi, Davide verfasserin aut Cummins, Paul verfasserin aut Rahhab, Zouhair verfasserin aut Kroon, Herbert verfasserin aut Wolff, Quinten verfasserin aut Lenzen, Mattie verfasserin aut Ribeiro, Joana Maria verfasserin aut Latib, Azeem verfasserin aut Adam, Matti verfasserin aut Søndergaard, Lars verfasserin aut Ren, Ben verfasserin aut Van Mieghem, Nicolas verfasserin aut de Jaegere, Peter verfasserin aut Enthalten in American College of Cardiology ; ID: gnd/1017722-X JACC Cardiovascular interventions New York, NY : Elsevier, 2008 13, Seite 1803-1812 Online-Ressource (DE-627)578539160 (DE-600)2452163-2 (DE-576)294403027 1876-7605 nnns volume:13 pages:1803-1812 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.85 Kardiologie Angiologie AR 13 1803-1812 |
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El Faquir, Nahid @@aut@@ De Backer, Ole @@aut@@ Bosmans, Johan @@aut@@ Rudolph, Tanja @@aut@@ Buzzatti, Nicola @@aut@@ Bieliauskas, Gintautas @@aut@@ Collas, Valerie @@aut@@ Wienemann, Hendrik @@aut@@ Schiavi, Davide @@aut@@ Cummins, Paul @@aut@@ Rahhab, Zouhair @@aut@@ Kroon, Herbert @@aut@@ Wolff, Quinten @@aut@@ Lenzen, Mattie @@aut@@ Ribeiro, Joana Maria @@aut@@ Latib, Azeem @@aut@@ Adam, Matti @@aut@@ Søndergaard, Lars @@aut@@ Ren, Ben @@aut@@ Van Mieghem, Nicolas @@aut@@ de Jaegere, Peter @@aut@@ |
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Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve |
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| title_full |
Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve |
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El Faquir, Nahid |
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JACC Cardiovascular interventions |
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JACC Cardiovascular interventions |
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eng |
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600 - Technology |
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2020 |
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El Faquir, Nahid De Backer, Ole Bosmans, Johan Rudolph, Tanja Buzzatti, Nicola Bieliauskas, Gintautas Collas, Valerie Wienemann, Hendrik Schiavi, Davide Cummins, Paul Rahhab, Zouhair Kroon, Herbert Wolff, Quinten Lenzen, Mattie Ribeiro, Joana Maria Latib, Azeem Adam, Matti Søndergaard, Lars Ren, Ben Van Mieghem, Nicolas de Jaegere, Peter |
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Elektronische Aufsätze |
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El Faquir, Nahid |
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10.1016/j.jcin.2020.04.018 |
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610 |
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verfasserin |
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patient-specific computer simulation in tavr with the self-expanding evolut r valve |
| title_auth |
Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve |
| abstract |
Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. |
| abstractGer |
Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. |
| abstract_unstemmed |
Objectives: The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice.Background: Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively.Methods: A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation.Results: Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13).Conclusions: Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. |
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Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve |
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De Backer, Ole Bosmans, Johan Rudolph, Tanja Buzzatti, Nicola Bieliauskas, Gintautas Collas, Valerie Wienemann, Hendrik Schiavi, Davide Cummins, Paul Rahhab, Zouhair Kroon, Herbert Wolff, Quinten Lenzen, Mattie Ribeiro, Joana Maria Latib, Azeem Adam, Matti Søndergaard, Lars Ren, Ben Van Mieghem, Nicolas de Jaegere, Peter |
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De Backer, Ole Bosmans, Johan Rudolph, Tanja Buzzatti, Nicola Bieliauskas, Gintautas Collas, Valerie Wienemann, Hendrik Schiavi, Davide Cummins, Paul Rahhab, Zouhair Kroon, Herbert Wolff, Quinten Lenzen, Mattie Ribeiro, Joana Maria Latib, Azeem Adam, Matti Søndergaard, Lars Ren, Ben Van Mieghem, Nicolas de Jaegere, Peter |
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| up_date |
2024-07-06T23:03:38.927Z |
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