CMR in the Evaluation of Diastolic Dysfunction and Phenotyping of HFpEF: Current Role and Future Perspectives.


Journal

JACC. Cardiovascular imaging
ISSN: 1876-7591
Titre abrégé: JACC Cardiovasc Imaging
Pays: United States
ID NLM: 101467978

Informations de publication

Date de publication:
01 2020
Historique:
received: 09 10 2018
revised: 13 02 2019
accepted: 14 02 2019
pubmed: 17 6 2019
medline: 8 10 2020
entrez: 17 6 2019
Statut: ppublish

Résumé

Heart failure with preserved ejection fraction presents a challenging diagnosis given a heterogeneous patient population and limited therapeutic options. Diastolic function assessment using echocardiography has been a cornerstone in the work-up and is as important as systolic functional assessment. There has been increased awareness to the potential utility of cardiac magnetic resonance (CMR) imaging over the past decade as a promising, radiation-free, robust imaging modality providing an unrestricted field of view and high-resolution images for global and regional functional assessment. CMR provides early markers for detecting myocardial disease using tissue characterization imaging, which might prove useful to improve diagnosis and management. Over the years, several studies have examined CMR-derived diastolic functional indices, including transmitral and pulmonary venous velocities, left ventricular and left atrial strain using myocardial tagging, and, more recently, feature tracking. The relevance of imaging-based diastolic function indices and their clinical application across different modalities is increasingly recognized.

Identifiants

pubmed: 31202753
pii: S1936-878X(19)30373-0
doi: 10.1016/j.jcmg.2019.02.031
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

283-296

Informations de copyright

Copyright © 2020 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Auteurs

Mohammed A Chamsi-Pasha (MA)

Cardiovascular Imaging Institute, Department of Cardiology, Houston Methodist Hospital, Houston, Texas.

Yang Zhan (Y)

Cardiovascular Imaging Institute, Department of Cardiology, Houston Methodist Hospital, Houston, Texas.

Dany Debs (D)

Cardiovascular Imaging Institute, Department of Cardiology, Houston Methodist Hospital, Houston, Texas.

Dipan J Shah (DJ)

Cardiovascular Imaging Institute, Department of Cardiology, Houston Methodist Hospital, Houston, Texas. Electronic address: djshah@houstonmethodist.org.

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Classifications MeSH