Cargando…

Clinical applications of feature-tracking cardiac magnetic resonance imaging

Cardiovascular diseases represent the leading cause of mortality and morbidity in the western world. Assessment of cardiac function is pivotal for early diagnosis of primitive myocardial disorders, identification of cardiac involvement in systemic diseases, detection of drug-related cardiac toxicity...

Descripción completa

Detalles Bibliográficos
Autores principales: Muser, Daniele, Castro, Simon A, Santangeli, Pasquale, Nucifora, Gaetano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6259029/
https://www.ncbi.nlm.nih.gov/pubmed/30510638
http://dx.doi.org/10.4330/wjc.v10.i11.210
_version_ 1783374594648834048
author Muser, Daniele
Castro, Simon A
Santangeli, Pasquale
Nucifora, Gaetano
author_facet Muser, Daniele
Castro, Simon A
Santangeli, Pasquale
Nucifora, Gaetano
author_sort Muser, Daniele
collection PubMed
description Cardiovascular diseases represent the leading cause of mortality and morbidity in the western world. Assessment of cardiac function is pivotal for early diagnosis of primitive myocardial disorders, identification of cardiac involvement in systemic diseases, detection of drug-related cardiac toxicity as well as risk stratification and monitor of treatment effects in patients with heart failure of various etiology. Determination of ejection fraction with different imaging modalities currently represents the gold standard for evaluation of cardiac function. However, in the last few years, cardiovascular magnetic resonance feature tracking techniques has emerged as a more accurate tool for quantitative evaluation of cardiovascular function with several parameters including strain, strain-rate, torsion and mechanical dispersion. This imaging modality allows precise quantification of ventricular and atrial mechanics by directly evaluating myocardial fiber deformation. The purpose of this article is to review the basic principles, current clinical applications and future perspectives of cardiovascular magnetic resonance myocardial feature tracking, highlighting its prognostic implications.
format Online
Article
Text
id pubmed-6259029
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Baishideng Publishing Group Inc
record_format MEDLINE/PubMed
spelling pubmed-62590292018-12-03 Clinical applications of feature-tracking cardiac magnetic resonance imaging Muser, Daniele Castro, Simon A Santangeli, Pasquale Nucifora, Gaetano World J Cardiol Review Cardiovascular diseases represent the leading cause of mortality and morbidity in the western world. Assessment of cardiac function is pivotal for early diagnosis of primitive myocardial disorders, identification of cardiac involvement in systemic diseases, detection of drug-related cardiac toxicity as well as risk stratification and monitor of treatment effects in patients with heart failure of various etiology. Determination of ejection fraction with different imaging modalities currently represents the gold standard for evaluation of cardiac function. However, in the last few years, cardiovascular magnetic resonance feature tracking techniques has emerged as a more accurate tool for quantitative evaluation of cardiovascular function with several parameters including strain, strain-rate, torsion and mechanical dispersion. This imaging modality allows precise quantification of ventricular and atrial mechanics by directly evaluating myocardial fiber deformation. The purpose of this article is to review the basic principles, current clinical applications and future perspectives of cardiovascular magnetic resonance myocardial feature tracking, highlighting its prognostic implications. Baishideng Publishing Group Inc 2018-11-26 2018-11-26 /pmc/articles/PMC6259029/ /pubmed/30510638 http://dx.doi.org/10.4330/wjc.v10.i11.210 Text en ©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Review
Muser, Daniele
Castro, Simon A
Santangeli, Pasquale
Nucifora, Gaetano
Clinical applications of feature-tracking cardiac magnetic resonance imaging
title Clinical applications of feature-tracking cardiac magnetic resonance imaging
title_full Clinical applications of feature-tracking cardiac magnetic resonance imaging
title_fullStr Clinical applications of feature-tracking cardiac magnetic resonance imaging
title_full_unstemmed Clinical applications of feature-tracking cardiac magnetic resonance imaging
title_short Clinical applications of feature-tracking cardiac magnetic resonance imaging
title_sort clinical applications of feature-tracking cardiac magnetic resonance imaging
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6259029/
https://www.ncbi.nlm.nih.gov/pubmed/30510638
http://dx.doi.org/10.4330/wjc.v10.i11.210
work_keys_str_mv AT muserdaniele clinicalapplicationsoffeaturetrackingcardiacmagneticresonanceimaging
AT castrosimona clinicalapplicationsoffeaturetrackingcardiacmagneticresonanceimaging
AT santangelipasquale clinicalapplicationsoffeaturetrackingcardiacmagneticresonanceimaging
AT nuciforagaetano clinicalapplicationsoffeaturetrackingcardiacmagneticresonanceimaging