Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/11110/2224 |
Resumo: | Background: Procedural success of transcatheter left atrial appendage closure (LAAC) is dependent on correct device selection. Three-dimensional transesophageal echocardiography (3DTEE) is more accurate than the two-dimensional (2D) modality for evaluation of the complex anatomy of LAA. However, 3D-TEE analysis of LAA is challenging and highly expertise dependent. In this study, we sought to evaluate the feasibility and accuracy of a novel software tool for automated 3D analysis of the LAA using 3D-TEE data. Methods: The intra-procedural 3D TEE data of 158 patients who underwent LAAC were retrospectively analyzed with a novel automated LAA analysis software tool. Based on the 3D TEE data, the software semi-automatically segmented the 3D LAA structure, determined the device landing zone (LZ), and generated measurements of the LZ dimensions and the LAA length, allowing manual editing if necessary. The accuracy of LAA pre-implantation anatomic measurement reproducibility, and time for analysis of the automated software were compared against expert manual 3D analysis. The software feasibility to predict the optimal device size was directly compared to implanted models. Results: Automated 3D analysis of the LAA on 3D-TEE was feasible in all patients. There were excellent agreements between automated and manual measurements of LZ maximal diameter (bias:-0.32, LOA:-3.56; 2.92), area-derived mean diameter (bias:-0.24, LOA:-3.12, 2.64), and LAA depth (bias:0.02, LOA:-3.14; 3.18). Automated 3D analysis, with manual editing if necessary, accurately identified the implanted device size in 90.5% of patients, outperforming 2DTEE (68.9%, p<0.01). The automated software showed results competitive against the manual analysis of 3D-TEE with higher intra- and inter-observer reproducibility and allowed quicker analysis (101.9±9.3s vs. 183.5±42.7s, p<0.001) compared to manual analysis. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter ClosureLeft Atrial Appendage ClosureLAA device sizingAutomated software analysisInteractive analysis3D transesophageal echocardiographyBackground: Procedural success of transcatheter left atrial appendage closure (LAAC) is dependent on correct device selection. Three-dimensional transesophageal echocardiography (3DTEE) is more accurate than the two-dimensional (2D) modality for evaluation of the complex anatomy of LAA. However, 3D-TEE analysis of LAA is challenging and highly expertise dependent. In this study, we sought to evaluate the feasibility and accuracy of a novel software tool for automated 3D analysis of the LAA using 3D-TEE data. Methods: The intra-procedural 3D TEE data of 158 patients who underwent LAAC were retrospectively analyzed with a novel automated LAA analysis software tool. Based on the 3D TEE data, the software semi-automatically segmented the 3D LAA structure, determined the device landing zone (LZ), and generated measurements of the LZ dimensions and the LAA length, allowing manual editing if necessary. The accuracy of LAA pre-implantation anatomic measurement reproducibility, and time for analysis of the automated software were compared against expert manual 3D analysis. The software feasibility to predict the optimal device size was directly compared to implanted models. Results: Automated 3D analysis of the LAA on 3D-TEE was feasible in all patients. There were excellent agreements between automated and manual measurements of LZ maximal diameter (bias:-0.32, LOA:-3.56; 2.92), area-derived mean diameter (bias:-0.24, LOA:-3.12, 2.64), and LAA depth (bias:0.02, LOA:-3.14; 3.18). Automated 3D analysis, with manual editing if necessary, accurately identified the implanted device size in 90.5% of patients, outperforming 2DTEE (68.9%, p<0.01). The automated software showed results competitive against the manual analysis of 3D-TEE with higher intra- and inter-observer reproducibility and allowed quicker analysis (101.9±9.3s vs. 183.5±42.7s, p<0.001) compared to manual analysis.This work was funded by the projects “NORTE-01-0145-FEDER-000045” and “NORTE-01-0145-FEDER-000059”, supported by Northern Portugal Regional Operational Programme (Norte2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER). It was also funded by national funds, through the FCT – Fundação para a Ciência e Tecnologia and FCT/MCTES in the scope of the project UIDB/05549/2020 and UIDP/05549/2020 and the grant CEECIND/03064/2018. This work was also funded by the Hong Kong Special Administrative Region Government Health and Medical Research Fund (05160976)Journal of the American Society of Echocardiography2021-11-10T15:13:25Z2021-11-10T15:13:25Z2021-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/11110/2224oai:ciencipca.ipca.pt:11110/2224enghttp://hdl.handle.net/11110/2224Pedro, MoraisYiting, FanSandro, QueirósJan, D'hoogeAlex, Pui-Wai LeeJoão L., Vilaçainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T12:53:31Zoai:ciencipca.ipca.pt:11110/2224Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:02:30.179349Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure |
title |
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure |
spellingShingle |
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure Pedro, Morais Left Atrial Appendage Closure LAA device sizing Automated software analysis Interactive analysis 3D transesophageal echocardiography |
title_short |
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure |
title_full |
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure |
title_fullStr |
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure |
title_full_unstemmed |
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure |
title_sort |
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure |
author |
Pedro, Morais |
author_facet |
Pedro, Morais Yiting, Fan Sandro, Queirós Jan, D'hooge Alex, Pui-Wai Lee João L., Vilaça |
author_role |
author |
author2 |
Yiting, Fan Sandro, Queirós Jan, D'hooge Alex, Pui-Wai Lee João L., Vilaça |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Pedro, Morais Yiting, Fan Sandro, Queirós Jan, D'hooge Alex, Pui-Wai Lee João L., Vilaça |
dc.subject.por.fl_str_mv |
Left Atrial Appendage Closure LAA device sizing Automated software analysis Interactive analysis 3D transesophageal echocardiography |
topic |
Left Atrial Appendage Closure LAA device sizing Automated software analysis Interactive analysis 3D transesophageal echocardiography |
description |
Background: Procedural success of transcatheter left atrial appendage closure (LAAC) is dependent on correct device selection. Three-dimensional transesophageal echocardiography (3DTEE) is more accurate than the two-dimensional (2D) modality for evaluation of the complex anatomy of LAA. However, 3D-TEE analysis of LAA is challenging and highly expertise dependent. In this study, we sought to evaluate the feasibility and accuracy of a novel software tool for automated 3D analysis of the LAA using 3D-TEE data. Methods: The intra-procedural 3D TEE data of 158 patients who underwent LAAC were retrospectively analyzed with a novel automated LAA analysis software tool. Based on the 3D TEE data, the software semi-automatically segmented the 3D LAA structure, determined the device landing zone (LZ), and generated measurements of the LZ dimensions and the LAA length, allowing manual editing if necessary. The accuracy of LAA pre-implantation anatomic measurement reproducibility, and time for analysis of the automated software were compared against expert manual 3D analysis. The software feasibility to predict the optimal device size was directly compared to implanted models. Results: Automated 3D analysis of the LAA on 3D-TEE was feasible in all patients. There were excellent agreements between automated and manual measurements of LZ maximal diameter (bias:-0.32, LOA:-3.56; 2.92), area-derived mean diameter (bias:-0.24, LOA:-3.12, 2.64), and LAA depth (bias:0.02, LOA:-3.14; 3.18). Automated 3D analysis, with manual editing if necessary, accurately identified the implanted device size in 90.5% of patients, outperforming 2DTEE (68.9%, p<0.01). The automated software showed results competitive against the manual analysis of 3D-TEE with higher intra- and inter-observer reproducibility and allowed quicker analysis (101.9±9.3s vs. 183.5±42.7s, p<0.001) compared to manual analysis. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-10T15:13:25Z 2021-11-10T15:13:25Z 2021-10-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/11110/2224 oai:ciencipca.ipca.pt:11110/2224 |
url |
http://hdl.handle.net/11110/2224 |
identifier_str_mv |
oai:ciencipca.ipca.pt:11110/2224 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://hdl.handle.net/11110/2224 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Journal of the American Society of Echocardiography |
publisher.none.fl_str_mv |
Journal of the American Society of Echocardiography |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1817552610678276096 |