Sivalokanathan, S
(2022)
The Role of Cardiovascular Magnetic Resonance Imaging in the Evaluation of Hypertrophic Cardiomyopathy.
Diagnostics (Basel), 12 (2).
p. 314.
ISSN 2075-4418
https://doi.org/10.3390/diagnostics12020314
SGUL Authors: Sivalokanathan, Sanjay
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Abstract
Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac disorder, affecting 1 out of 500 adults globally. It is a widely heterogeneous disorder characterized by a range of phenotypic expressions, and is most often identified by non-invasive imaging that includes echocardiography and cardiovascular magnetic resonance imaging (CMR). Within the last two decades, cardiac magnetic resonance imaging (MRI) has emerged as the defining tool for the characterization and prognostication of cardiomyopathies. With a higher image quality, spatial resolution, and the identification of morphological variants of HCM, CMR has become the gold standard imaging modality in the assessment of HCM. Moreover, it has been crucial in its management, as well as adding prognostic information that clinical history nor other imaging modalities may not provide. This literature review addresses the role and current applications of CMR, its capacity in evaluating HCM, and its limitations.
Item Type: | Article | ||||||
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Additional Information: | Copyright: © 2022 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | ||||||
Keywords: | cardiac MRI, hypertrophic cardiomyopathy, sudden cardiac death | ||||||
SGUL Research Institute / Research Centre: | Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) | ||||||
Journal or Publication Title: | Diagnostics (Basel) | ||||||
ISSN: | 2075-4418 | ||||||
Language: | eng | ||||||
Dates: |
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Publisher License: | Creative Commons: Attribution 4.0 | ||||||
PubMed ID: | 35204405 | ||||||
Go to PubMed abstract | |||||||
URI: | https://openaccess.sgul.ac.uk/id/eprint/114162 | ||||||
Publisher's version: | https://doi.org/10.3390/diagnostics12020314 |
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