Left atrial appendage closure guided by fusion of 3D computational modelling on real-time fluoroscopy: A multicenter experience.
Artificial intelligence
Computational modelling
Digital twin
Image fusion
Left atrial appendage closure
Journal
International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291
Informations de publication
Date de publication:
10 Oct 2024
10 Oct 2024
Historique:
received:
12
08
2024
revised:
25
09
2024
accepted:
02
10
2024
medline:
13
10
2024
pubmed:
13
10
2024
entrez:
12
10
2024
Statut:
aheadofprint
Résumé
Patient-specific 3-dimensional (3D) computational modelling offers a tailored approach with promising results, but experience using digital-twin fusion on real-time fluoroscopy to guide left atrial appendage closure (LAAC) is unreported. To assess whether LAAC guided by fusion of a 3D computational model on real-time fluoroscopy is safe and effective. We included retrospectively through a multicenter registry all consecutive patients with non-valvular atrial fibrillation (AF) who underwent LAAC guided by artificial intelligence (AI)-enabled computer simulations (FEops, Gent, Belgium) fusion with real-time fluoroscopy. Operators selected the appropriate device size and position in relation to the LAA using FEops HEARTguide™, and a digital twin was provided for image fusion. The primary efficacy endpoint was successful LAAC with the use of a single device, without moderate or greater peri-device leak and/or device related thrombus (DRT) on follow-up imaging. The primary safety endpoint was a composite of major procedural complications including tamponade, stroke, systemic embolism, major bleeding, and device embolization. A total of 106 patients underwent LAAC with an Amulet™ or Watchman FLX™ device using CT-model-fluoroscopy fusion imaging. Device implantation was successful in 100 % of cases. The primary efficacy endpoint was met in 82 patients (89 %). A single-device deployment LAAC procedure was observed in 49 cases (46 %). The primary safety endpoint occurred in 2 patients (1.9 %). After a median follow-up of 405 days, two patients suffered an ischemic stroke and four expired. Fusion of a CT-based 3D computational model on real-time fluoroscopy is a safe and effective approach that may optimize transcatheter LAAC outcomes.
Sections du résumé
BACKGROUND
BACKGROUND
Patient-specific 3-dimensional (3D) computational modelling offers a tailored approach with promising results, but experience using digital-twin fusion on real-time fluoroscopy to guide left atrial appendage closure (LAAC) is unreported.
OBJECTIVES
OBJECTIVE
To assess whether LAAC guided by fusion of a 3D computational model on real-time fluoroscopy is safe and effective.
METHODS
METHODS
We included retrospectively through a multicenter registry all consecutive patients with non-valvular atrial fibrillation (AF) who underwent LAAC guided by artificial intelligence (AI)-enabled computer simulations (FEops, Gent, Belgium) fusion with real-time fluoroscopy. Operators selected the appropriate device size and position in relation to the LAA using FEops HEARTguide™, and a digital twin was provided for image fusion. The primary efficacy endpoint was successful LAAC with the use of a single device, without moderate or greater peri-device leak and/or device related thrombus (DRT) on follow-up imaging. The primary safety endpoint was a composite of major procedural complications including tamponade, stroke, systemic embolism, major bleeding, and device embolization.
RESULTS
RESULTS
A total of 106 patients underwent LAAC with an Amulet™ or Watchman FLX™ device using CT-model-fluoroscopy fusion imaging. Device implantation was successful in 100 % of cases. The primary efficacy endpoint was met in 82 patients (89 %). A single-device deployment LAAC procedure was observed in 49 cases (46 %). The primary safety endpoint occurred in 2 patients (1.9 %). After a median follow-up of 405 days, two patients suffered an ischemic stroke and four expired.
CONCLUSIONS
CONCLUSIONS
Fusion of a CT-based 3D computational model on real-time fluoroscopy is a safe and effective approach that may optimize transcatheter LAAC outcomes.
Identifiants
pubmed: 39395724
pii: S0167-5273(24)01236-1
doi: 10.1016/j.ijcard.2024.132614
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
132614Informations de copyright
Copyright © 2024. Published by Elsevier B.V.
Déclaration de conflit d'intérêts
Declaration of competing interest P. Garot is medical director and shareholder of CERC, a CRO dedicated to cardiovascular research. He is proctor for Abbott and has received Advisory/speaker's fees from Abbott, Biosensors, Boston Scientific, Cordis, GE Healthcare, and Terumo outside the submitted work. C. Skurk has received speakers fees from Abiomed and Boston Scientific. A. Gautier has received consulting fees from Abbott, Boston Scientific, GE HealthCare, Medtronic and Terumo outside the submitted work. A.M. Bavo is an employee of FEops. R. Vaillant is an employee of General Electric HealthCare. J. Horvilleur is proctor for Abbott. X. Freixa is proctor for Abbott, Boston Scientific and Lifetech Medical. J. Saw is Consultant and Proctor for Abbott and Boston Scientific. O. De Backer has received institutional research grants and consulting fees from Abbott and Boston Scientific. The other co-authors have nothing to disclose.