Cargando…

Emerging MRI techniques for molecular and functional phenotyping of the diseased heart

Recent advances in cardiac MRI (CMR) capabilities have truly transformed its potential for deep phenotyping of the diseased heart. Long known for its unparalleled soft tissue contrast and excellent depiction of three-dimensional (3D) structure, CMR now boasts a range of unique capabilities for probi...

Descripción completa

Detalles Bibliográficos
Autor principal: Cheng, Hai-Ling Margaret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760746/
https://www.ncbi.nlm.nih.gov/pubmed/36545017
http://dx.doi.org/10.3389/fcvm.2022.1072828
_version_ 1784852547678240768
author Cheng, Hai-Ling Margaret
author_facet Cheng, Hai-Ling Margaret
author_sort Cheng, Hai-Ling Margaret
collection PubMed
description Recent advances in cardiac MRI (CMR) capabilities have truly transformed its potential for deep phenotyping of the diseased heart. Long known for its unparalleled soft tissue contrast and excellent depiction of three-dimensional (3D) structure, CMR now boasts a range of unique capabilities for probing disease at the tissue and molecular level. We can look beyond coronary vessel blockages and detect vessel disease not visible on a structural level. We can assess if early fibrotic tissue is being laid down in between viable cardiac muscle cells. We can measure deformation of the heart wall to determine early presentation of stiffening. We can even assess how cardiomyocytes are utilizing energy, where abnormalities are often precursors to overt structural and functional deficits. Finally, with artificial intelligence gaining traction due to the high computing power available today, deep learning has proven itself a viable contender with traditional acceleration techniques for real-time CMR. In this review, we will survey five key emerging MRI techniques that have the potential to transform the CMR clinic and permit early detection and intervention. The emerging areas are: (1) imaging microvascular dysfunction, (2) imaging fibrosis, (3) imaging strain, (4) imaging early metabolic changes, and (5) deep learning for acceleration. Through a concerted effort to develop and translate these areas into the CMR clinic, we are committing ourselves to actualizing early diagnostics for the most intractable heart disease phenotypes.
format Online
Article
Text
id pubmed-9760746
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-97607462022-12-20 Emerging MRI techniques for molecular and functional phenotyping of the diseased heart Cheng, Hai-Ling Margaret Front Cardiovasc Med Cardiovascular Medicine Recent advances in cardiac MRI (CMR) capabilities have truly transformed its potential for deep phenotyping of the diseased heart. Long known for its unparalleled soft tissue contrast and excellent depiction of three-dimensional (3D) structure, CMR now boasts a range of unique capabilities for probing disease at the tissue and molecular level. We can look beyond coronary vessel blockages and detect vessel disease not visible on a structural level. We can assess if early fibrotic tissue is being laid down in between viable cardiac muscle cells. We can measure deformation of the heart wall to determine early presentation of stiffening. We can even assess how cardiomyocytes are utilizing energy, where abnormalities are often precursors to overt structural and functional deficits. Finally, with artificial intelligence gaining traction due to the high computing power available today, deep learning has proven itself a viable contender with traditional acceleration techniques for real-time CMR. In this review, we will survey five key emerging MRI techniques that have the potential to transform the CMR clinic and permit early detection and intervention. The emerging areas are: (1) imaging microvascular dysfunction, (2) imaging fibrosis, (3) imaging strain, (4) imaging early metabolic changes, and (5) deep learning for acceleration. Through a concerted effort to develop and translate these areas into the CMR clinic, we are committing ourselves to actualizing early diagnostics for the most intractable heart disease phenotypes. Frontiers Media S.A. 2022-12-05 /pmc/articles/PMC9760746/ /pubmed/36545017 http://dx.doi.org/10.3389/fcvm.2022.1072828 Text en Copyright © 2022 Cheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Cheng, Hai-Ling Margaret
Emerging MRI techniques for molecular and functional phenotyping of the diseased heart
title Emerging MRI techniques for molecular and functional phenotyping of the diseased heart
title_full Emerging MRI techniques for molecular and functional phenotyping of the diseased heart
title_fullStr Emerging MRI techniques for molecular and functional phenotyping of the diseased heart
title_full_unstemmed Emerging MRI techniques for molecular and functional phenotyping of the diseased heart
title_short Emerging MRI techniques for molecular and functional phenotyping of the diseased heart
title_sort emerging mri techniques for molecular and functional phenotyping of the diseased heart
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760746/
https://www.ncbi.nlm.nih.gov/pubmed/36545017
http://dx.doi.org/10.3389/fcvm.2022.1072828
work_keys_str_mv AT chenghailingmargaret emergingmritechniquesformolecularandfunctionalphenotypingofthediseasedheart