Cargando…

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,...

Descripción completa

Detalles Bibliográficos
Autores principales: Moharram, Mohammed A., Lamberts, Regis R., Whalley, Gillian, Williams, Michael J. A., Coffey, Sean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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
_version_ 1783471012693671936
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
work_keys_str_mv AT moharrammohammeda myocardialtissuecharacterisationusingechocardiographicdeformationimaging
AT lambertsregisr myocardialtissuecharacterisationusingechocardiographicdeformationimaging
AT whalleygillian myocardialtissuecharacterisationusingechocardiographicdeformationimaging
AT williamsmichaelja myocardialtissuecharacterisationusingechocardiographicdeformationimaging
AT coffeysean myocardialtissuecharacterisationusingechocardiographicdeformationimaging