Cardiac MRI and Fibrosis Quantification.


Journal

Cardiac electrophysiology clinics
ISSN: 1877-9190
Titre abrégé: Card Electrophysiol Clin
Pays: United States
ID NLM: 101549998

Informations de publication

Date de publication:
09 2019
Historique:
entrez: 12 8 2019
pubmed: 12 8 2019
medline: 10 3 2020
Statut: ppublish

Résumé

Left atrial fibrosis plays an important role in the pathophysiology of atrial fibrillation. Left atrial ablation is an effective and increasingly used strategy to restore and maintain sinus rhythm in patients with atrial fibrillation. Late gadolinium enhancement (LGE) MRI and custom image analysis software have been used to visualize and quantify preablation atrial fibrosis and postablation scar and new fibrosis formation. This article reviews technical aspects of imaging atrial fibrosis/scar by LGE-MRI; use of atrial fibrosis and scar in predicting outcomes; applications of LGE-MRI to assess ablation lesions and optimize ablation parameters while avoiding collateral damage.

Identifiants

pubmed: 31400877
pii: S1877-9182(19)30036-X
doi: 10.1016/j.ccep.2019.04.005
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

537-549

Informations de copyright

Published by Elsevier Inc.

Auteurs

Eugene G Kholmovski (EG)

Comprehensive Arrhythmia Research & Management (CARMA) Center, University of Utah, 729 Arapeen Drive, Salt Lake City, Ut 84108, USA; Utah Center for Advanced Imaging Research (UCAIR), University of Utah, Salt Lake City, UT, USA; Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA.

Alan K Morris (AK)

Comprehensive Arrhythmia Research & Management (CARMA) Center, University of Utah, 729 Arapeen Drive, Salt Lake City, Ut 84108, USA.

Mihail G Chelu (MG)

Comprehensive Arrhythmia Research & Management (CARMA) Center, University of Utah, 729 Arapeen Drive, Salt Lake City, Ut 84108, USA; Division of Cardiovascular Medicine, Section of Electrophysiology, University of Utah, Salt Lake City, UT, USA. Electronic address: mgchelu@gmail.com.

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Classifications MeSH