Perone, F; Dentamaro, I; La Mura, L; Alifragki, A; Marketou, M; Cavarretta, E; Papadakis, M; Androulakis, E
(2024)
Current Insights and Novel Cardiovascular Magnetic Resonance-Based Techniques in the Prognosis of Non-Ischemic Dilated Cardiomyopathy.
J Clin Med, 13 (4).
p. 1017.
ISSN 2077-0383
https://doi.org/10.3390/jcm13041017
SGUL Authors: Androulakis, Emmanouil
Abstract
Cardiac magnetic resonance (CMR) imaging has an important emerging role in the evaluation and management of patients with cardiomyopathies, especially in patients with dilated cardiomyopathy (DCM). It allows a non-invasive characterization of myocardial tissue, thus assisting early diagnosis and precise phenotyping of the different cardiomyopathies, which is an essential step for early and individualized treatment of patients. Using imaging techniques such as late gadolinium enhancement (LGE), standard and advanced quantification as well as quantitative mapping parameters, CMR-based tissue characterization is useful in the differential diagnosis of DCM and risk stratification. The purpose of this article is to review the utility of CMR in the diagnosis and management of idiopathic DCM, as well as risk prediction and prognosis based on standard and emerging CMR contrast and non-contrast techniques. This is consistent with current evidence and guidance moving beyond traditional prognostic markers such as ejection fraction.
Item Type: |
Article
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Additional Information: |
© 2024 by the authors. 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 magnetic resonance, dilated cardiomyopathy, extracellular volume, gray zone fibrosis, myocardial fibrosis, parametric mapping, cardiac magnetic resonance, dilated cardiomyopathy, myocardial fibrosis, parametric mapping, extracellular volume, gray zone fibrosis, cardiac magnetic resonance, dilated cardiomyopathy, extracellular volume, gray zone fibrosis, myocardial fibrosis, parametric mapping, 1103 Clinical Sciences |
Journal or Publication Title: |
J Clin Med |
ISSN: |
2077-0383 |
Language: |
eng |
Dates: |
Date | Event |
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9 February 2024 | Published | 2 February 2024 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
PubMed ID: |
38398330 |
Web of Science ID: |
WOS:001172262700001 |
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Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/116577 |
Publisher's version: |
https://doi.org/10.3390/jcm13041017 |
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