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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2018
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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 |
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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 |
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