Validation of a computational model aiming to optimize preprocedural planning in percutaneous left atrial appendage closure.
Aged
Aged, 80 and over
Atrial Appendage
/ diagnostic imaging
Atrial Fibrillation
/ diagnostic imaging
British Columbia
Cardiac Catheterization
/ adverse effects
Denmark
Equipment Design
Female
Humans
Male
Middle Aged
Models, Cardiovascular
Paris
Patient-Specific Modeling
Predictive Value of Tests
Reproducibility of Results
Retrospective Studies
Therapy, Computer-Assisted
/ instrumentation
Tomography, X-Ray Computed
Treatment Outcome
Atrial fibrillation
CCT-based computational model
Patient-specific anatomy
Percutaneous left atrial appendage closure
Pre-operative planning
Journal
Journal of cardiovascular computed tomography
ISSN: 1876-861X
Titre abrégé: J Cardiovasc Comput Tomogr
Pays: United States
ID NLM: 101308347
Informations de publication
Date de publication:
Historique:
received:
12
04
2019
revised:
01
07
2019
accepted:
19
08
2019
pubmed:
26
8
2019
medline:
15
9
2020
entrez:
26
8
2019
Statut:
ppublish
Résumé
Percutaneous left atrial appendage (LAA) closure can be optimised through diligent preprocedural planning. Cardiac computational tomography (CCT) is increasingly recognised as a valuable tool in this process. A CCT-based computational model (FEops HEARTguide™, Belgium) has been developed to simulate the deployment of the two most commonly used LAA closure devices into patient-specific LAA anatomies. The aim of this study was to validate this computational model based on real-life percutaneous LAA closure procedures and post-procedural CCT imaging. Thirty patients having undergone LAA closure (Amulet™ n = 15, Watchman™ n = 15) and having a pre- and post-procedural CCT-scan were selected for this validation study. Virtually implanted devices were directly compared to actual implants for device frame deformation and LAA wall apposition. The coefficient of determination (R Computational modelling accurately predicts LAA closure device deformation and apposition and may therefore potentiate more accurate LAA closure device sizing and better preprocedural planning.
Sections du résumé
BACKGROUND
BACKGROUND
Percutaneous left atrial appendage (LAA) closure can be optimised through diligent preprocedural planning. Cardiac computational tomography (CCT) is increasingly recognised as a valuable tool in this process. A CCT-based computational model (FEops HEARTguide™, Belgium) has been developed to simulate the deployment of the two most commonly used LAA closure devices into patient-specific LAA anatomies.
OBJECTIVE
OBJECTIVE
The aim of this study was to validate this computational model based on real-life percutaneous LAA closure procedures and post-procedural CCT imaging.
METHODS
METHODS
Thirty patients having undergone LAA closure (Amulet™ n = 15, Watchman™ n = 15) and having a pre- and post-procedural CCT-scan were selected for this validation study. Virtually implanted devices were directly compared to actual implants for device frame deformation and LAA wall apposition.
RESULTS
RESULTS
The coefficient of determination (R
CONCLUSION
CONCLUSIONS
Computational modelling accurately predicts LAA closure device deformation and apposition and may therefore potentiate more accurate LAA closure device sizing and better preprocedural planning.
Identifiants
pubmed: 31445885
pii: S1934-5925(19)30196-0
doi: 10.1016/j.jcct.2019.08.010
pii:
doi:
Types de publication
Journal Article
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
149-154Informations de copyright
Copyright © 2020 Society of Cardiovascular Computed Tomography. All rights reserved.