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Myocardial tissue characterisation using echocardiographic deformation imaging
Myocardial pathology results in significant morbidity and mortality, whether due to primary cardiomyopathic processes or secondary to other conditions such as ischemic heart disease. Cardiac imaging techniques characterise the underlying tissue directly, by assessing a signal from the tissue itself,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858720/ https://www.ncbi.nlm.nih.gov/pubmed/31730467 http://dx.doi.org/10.1186/s12947-019-0176-9 |
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author | Moharram, Mohammed A. Lamberts, Regis R. Whalley, Gillian Williams, Michael J. A. Coffey, Sean |
author_facet | Moharram, Mohammed A. Lamberts, Regis R. Whalley, Gillian Williams, Michael J. A. Coffey, Sean |
author_sort | Moharram, Mohammed A. |
collection | PubMed |
description | Myocardial pathology results in significant morbidity and mortality, whether due to primary cardiomyopathic processes or secondary to other conditions such as ischemic heart disease. Cardiac imaging techniques characterise the underlying tissue directly, by assessing a signal from the tissue itself, or indirectly, by inferring tissue characteristics from global or regional function. Cardiac magnetic resonance imaging is currently the most investigated imaging modality for tissue characterisation, but, due to its accessibility, advanced echocardiography represents an attractive alternative. Speckle tracking echocardiography (STE) is a reproducible technique used to assess myocardial deformation at both segmental and global levels. Since distinct myocardial pathologies affect deformation differently, information about the underlying tissue can be inferred by STE. In this review, the current available studies correlating STE deformation parameters with underlying tissue characteristics in humans are examined, with separate emphasis on global and segmental analysis. The current knowledge is placed in the context of integrated backscatter and the future of echocardiographic based tissue characterisation is discussed. The use of these imaging techniques to more precisely phenotype myocardial pathology more precisely will allow the design of translational cardiac research studies and, potentially, tailored management strategies. |
format | Online Article Text |
id | pubmed-6858720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68587202019-11-29 Myocardial tissue characterisation using echocardiographic deformation imaging Moharram, Mohammed A. Lamberts, Regis R. Whalley, Gillian Williams, Michael J. A. Coffey, Sean Cardiovasc Ultrasound Review Myocardial pathology results in significant morbidity and mortality, whether due to primary cardiomyopathic processes or secondary to other conditions such as ischemic heart disease. Cardiac imaging techniques characterise the underlying tissue directly, by assessing a signal from the tissue itself, or indirectly, by inferring tissue characteristics from global or regional function. Cardiac magnetic resonance imaging is currently the most investigated imaging modality for tissue characterisation, but, due to its accessibility, advanced echocardiography represents an attractive alternative. Speckle tracking echocardiography (STE) is a reproducible technique used to assess myocardial deformation at both segmental and global levels. Since distinct myocardial pathologies affect deformation differently, information about the underlying tissue can be inferred by STE. In this review, the current available studies correlating STE deformation parameters with underlying tissue characteristics in humans are examined, with separate emphasis on global and segmental analysis. The current knowledge is placed in the context of integrated backscatter and the future of echocardiographic based tissue characterisation is discussed. The use of these imaging techniques to more precisely phenotype myocardial pathology more precisely will allow the design of translational cardiac research studies and, potentially, tailored management strategies. BioMed Central 2019-11-15 /pmc/articles/PMC6858720/ /pubmed/31730467 http://dx.doi.org/10.1186/s12947-019-0176-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Moharram, Mohammed A. Lamberts, Regis R. Whalley, Gillian Williams, Michael J. A. Coffey, Sean Myocardial tissue characterisation using echocardiographic deformation imaging |
title | Myocardial tissue characterisation using echocardiographic deformation imaging |
title_full | Myocardial tissue characterisation using echocardiographic deformation imaging |
title_fullStr | Myocardial tissue characterisation using echocardiographic deformation imaging |
title_full_unstemmed | Myocardial tissue characterisation using echocardiographic deformation imaging |
title_short | Myocardial tissue characterisation using echocardiographic deformation imaging |
title_sort | myocardial tissue characterisation using echocardiographic deformation imaging |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858720/ https://www.ncbi.nlm.nih.gov/pubmed/31730467 http://dx.doi.org/10.1186/s12947-019-0176-9 |
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