Decisional Impact of CT-Based 3D Computational Modeling in Left Atrial Appendage Occlusion: The PRECISE LAAO.

De Cock, Emmanuel; Lochy, Stijn; Rivero-Ayerza, Maximo; Lempereur, Mathieu; Cornelis, Kristoff; Debonnaire, Philippe; Vermeersch, Paul; Christiaen, Emma; Buysschaert, Ian

doi:10.1016/j.jcin.2024.07.021

Download

Article (Scientific journals)

Decisional Impact of CT-Based 3D Computational Modeling in Left Atrial Appendage Occlusion: The PRECISE LAAO.

De Cock, Emmanuel; Lochy, Stijn; Rivero-Ayerza, Maximo et al.

2024 • In JACC. Cardiovascular Interventions, 17 (19), p. 2322 - 2323

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/2268/324881

DOI
10.1016/j.jcin.2024.07.021

PubMed
39415392

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

PRECISE-LAAO.pdf

Author postprint (303.99 kB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Cardiology and Cardiovascular Medicine; atrial fibrillation; left atrial appendage closure; 3D Computational Modeling

Disciplines :

Cardiovascular & respiratory systems

Author, co-author :

De Cock, Emmanuel

Lochy, Stijn

Rivero-Ayerza, Maximo

Lempereur, Mathieu ; Université de Liège - ULiège > Département des sciences cliniques

Cornelis, Kristoff

Debonnaire, Philippe

Vermeersch, Paul

Christiaen, Emma

Buysschaert, Ian

Language :

English

Title :

Decisional Impact of CT-Based 3D Computational Modeling in Left Atrial Appendage Occlusion: The PRECISE LAAO.

Publication date :

14 October 2024

Journal title :

JACC. Cardiovascular Interventions

ISSN :

1936-8798

eISSN :

1876-7605

Publisher :

Elsevier Inc., United States

Volume :

Issue :

Pages :

2322 - 2323

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S1936879824010070?httpAccept=text/xml

Funding text :

This investigator-initiated study was funded by FEops. FEops received funding from the European Union\u2019s Horizon 2020 Research and Innovation Program under grant agreement number 945698. The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Available on ORBi :

since 02 December 2024

Statistics

Number of views

12 (1 by ULiège)

Number of downloads

9 (0 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

Bibliography

Alkhouli, M., Du, C., Killu, A., et al. Clinical impact of residual leaks following left atrial appendage occlusion: insights from the NCDR LAAO registry. JACC Clin Electrophysiol 8:6 (2022), 766–778.
Bavo, A.M., Wilkins, B.T., Garot, P., et al. Validation of a computational model aiming to optimize preprocedural planning in percutaneous left atrial appendage closure. J Cardiovasc Comput Tomogr 14:2 (2020), 149–154.
Eng, M.H., Wang, D.D., Greenbaum, A.B., et al. Prospective, randomized comparison of 3-dimensional computed tomography guidance versus TEE data for left atrial appendage occlusion (PRO3DLAAO). Catheter Cardiovasc Interv 92:2 (2018), 401–407.
Galea, R., Aminian, A., Meneveau, N., et al. Impact of preprocedural computed tomography on left atrial appendage closure success: a Swiss-Apero trial subanalysis. JACC Cardiovasc Interv 16:11 (2023), 1332–1343.
De Backer, O., Iriart, X., Kefer, J., et al. Impact of computational modeling on transcatheter left atrial appendage closure efficiency and outcomes. JACC Cardiovasc Interv 16:6 (2023), 655–666.