Cargando…
The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking
BACKGROUND: Cardiac diffusion tensor imaging (cDTI) using cardiovascular magnetic resonance (CMR) is a novel technique for the non-invasive assessment of myocardial microstructure. Previous studies have shown myocardial infarction to result in loss of sheetlet angularity, derived by reduced secondar...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685947/ https://www.ncbi.nlm.nih.gov/pubmed/36419059 http://dx.doi.org/10.1186/s12968-022-00892-y |
_version_ | 1784835632176037888 |
---|---|
author | Sharrack, N. Das, A. Kelly, C. Teh, I. Stoeck, C. T. Kozerke, S. Swoboda, P. P. Greenwood, J. P. Plein, S. Schneider, J. E. Dall’Armellina, E. |
author_facet | Sharrack, N. Das, A. Kelly, C. Teh, I. Stoeck, C. T. Kozerke, S. Swoboda, P. P. Greenwood, J. P. Plein, S. Schneider, J. E. Dall’Armellina, E. |
author_sort | Sharrack, N. |
collection | PubMed |
description | BACKGROUND: Cardiac diffusion tensor imaging (cDTI) using cardiovascular magnetic resonance (CMR) is a novel technique for the non-invasive assessment of myocardial microstructure. Previous studies have shown myocardial infarction to result in loss of sheetlet angularity, derived by reduced secondary eigenvector (E2A) and reduction in subendocardial cardiomyocytes, evidenced by loss of myocytes with right-handed orientation (RHM) on helix angle (HA) maps. Myocardial strain assessed using feature tracking-CMR (FT-CMR) is a sensitive marker of sub-clinical myocardial dysfunction. We sought to explore the relationship between these two techniques (strain and cDTI) in patients at 3 months following ST-elevation MI (STEMI). METHODS: 32 patients (F = 28, 60 ± 10 years) underwent 3T CMR three months after STEMI (mean interval 105 ± 17 days) with second order motion compensated (M2), free-breathing spin echo cDTI, cine gradient echo and late gadolinium enhancement (LGE) imaging. HA maps divided into left-handed HA (LHM, − 90 < HA < − 30), circumferential HA (CM, − 30° < HA < 30°), and right-handed HA (RHM, 30° < HA < 90°) were reported as relative proportions. Global and segmental analysis was undertaken. RESULTS: Mean left ventricular ejection fraction (LVEF) was 44 ± 10% with a mean infarct size of 18 ± 12 g and a mean infarct segment LGE enhancement of 66 ± 21%. Mean global radial strain was 19 ± 6, mean global circumferential strain was − 13 ± − 3 and mean global longitudinal strain was − 10 ± − 3. Global and segmental radial strain correlated significantly with E2A in infarcted segments (p = 0.002, p = 0.011). Both global and segmental longitudinal strain correlated with RHM of infarcted segments on HA maps (p < 0.001, p = 0.003). Mean Diffusivity (MD) correlated significantly with the global infarct size (p < 0.008). When patients were categorised according to LVEF (reduced, mid-range and preserved), all cDTI parameters differed significantly between the three groups. CONCLUSION: Change in sheetlet orientation assessed using E2A from cDTI correlates with impaired radial strain. Segments with fewer subendocardial cardiomyocytes, evidenced by a lower proportion of myocytes with right-handed orientation on HA maps, show impaired longitudinal strain. Infarct segment enhancement correlates significantly with E2A and RHM. Our data has demonstrated a link between myocardial microstructure and contractility following myocardial infarction, suggesting a potential role for CMR cDTI to clinically relevant functional impact. |
format | Online Article Text |
id | pubmed-9685947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96859472022-11-25 The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking Sharrack, N. Das, A. Kelly, C. Teh, I. Stoeck, C. T. Kozerke, S. Swoboda, P. P. Greenwood, J. P. Plein, S. Schneider, J. E. Dall’Armellina, E. J Cardiovasc Magn Reson Research BACKGROUND: Cardiac diffusion tensor imaging (cDTI) using cardiovascular magnetic resonance (CMR) is a novel technique for the non-invasive assessment of myocardial microstructure. Previous studies have shown myocardial infarction to result in loss of sheetlet angularity, derived by reduced secondary eigenvector (E2A) and reduction in subendocardial cardiomyocytes, evidenced by loss of myocytes with right-handed orientation (RHM) on helix angle (HA) maps. Myocardial strain assessed using feature tracking-CMR (FT-CMR) is a sensitive marker of sub-clinical myocardial dysfunction. We sought to explore the relationship between these two techniques (strain and cDTI) in patients at 3 months following ST-elevation MI (STEMI). METHODS: 32 patients (F = 28, 60 ± 10 years) underwent 3T CMR three months after STEMI (mean interval 105 ± 17 days) with second order motion compensated (M2), free-breathing spin echo cDTI, cine gradient echo and late gadolinium enhancement (LGE) imaging. HA maps divided into left-handed HA (LHM, − 90 < HA < − 30), circumferential HA (CM, − 30° < HA < 30°), and right-handed HA (RHM, 30° < HA < 90°) were reported as relative proportions. Global and segmental analysis was undertaken. RESULTS: Mean left ventricular ejection fraction (LVEF) was 44 ± 10% with a mean infarct size of 18 ± 12 g and a mean infarct segment LGE enhancement of 66 ± 21%. Mean global radial strain was 19 ± 6, mean global circumferential strain was − 13 ± − 3 and mean global longitudinal strain was − 10 ± − 3. Global and segmental radial strain correlated significantly with E2A in infarcted segments (p = 0.002, p = 0.011). Both global and segmental longitudinal strain correlated with RHM of infarcted segments on HA maps (p < 0.001, p = 0.003). Mean Diffusivity (MD) correlated significantly with the global infarct size (p < 0.008). When patients were categorised according to LVEF (reduced, mid-range and preserved), all cDTI parameters differed significantly between the three groups. CONCLUSION: Change in sheetlet orientation assessed using E2A from cDTI correlates with impaired radial strain. Segments with fewer subendocardial cardiomyocytes, evidenced by a lower proportion of myocytes with right-handed orientation on HA maps, show impaired longitudinal strain. Infarct segment enhancement correlates significantly with E2A and RHM. Our data has demonstrated a link between myocardial microstructure and contractility following myocardial infarction, suggesting a potential role for CMR cDTI to clinically relevant functional impact. BioMed Central 2022-11-24 /pmc/articles/PMC9685947/ /pubmed/36419059 http://dx.doi.org/10.1186/s12968-022-00892-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sharrack, N. Das, A. Kelly, C. Teh, I. Stoeck, C. T. Kozerke, S. Swoboda, P. P. Greenwood, J. P. Plein, S. Schneider, J. E. Dall’Armellina, E. The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking |
title | The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking |
title_full | The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking |
title_fullStr | The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking |
title_full_unstemmed | The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking |
title_short | The relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking |
title_sort | relationship between myocardial microstructure and strain in chronic infarction using cardiovascular magnetic resonance diffusion tensor imaging and feature tracking |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685947/ https://www.ncbi.nlm.nih.gov/pubmed/36419059 http://dx.doi.org/10.1186/s12968-022-00892-y |
work_keys_str_mv | AT sharrackn therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT dasa therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT kellyc therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT tehi therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT stoeckct therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT kozerkes therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT swobodapp therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT greenwoodjp therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT pleins therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT schneiderje therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT dallarmellinae therelationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT sharrackn relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT dasa relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT kellyc relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT tehi relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT stoeckct relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT kozerkes relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT swobodapp relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT greenwoodjp relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT pleins relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT schneiderje relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking AT dallarmellinae relationshipbetweenmyocardialmicrostructureandstraininchronicinfarctionusingcardiovascularmagneticresonancediffusiontensorimagingandfeaturetracking |