Cargando…
Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease
The transition from healthy myocardium to hypertensive heart disease is characterized by a series of poorly understood changes in myocardial tissue microstructure. Incremental alterations in the orientation and integrity of myocardial fibers can be assessed using advanced ultrasonic image analysis....
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022613/ https://www.ncbi.nlm.nih.gov/pubmed/24831515 http://dx.doi.org/10.1371/journal.pone.0097424 |
_version_ | 1782316437458649088 |
---|---|
author | Hiremath, Pranoti Bauer, Michael Aguirre, Aaron D. Cheng, Hui-Wen Unno, Kazumasa Patel, Ravi B. Harvey, Bethany W. Chang, Wei-Ting Groarke, John D. Liao, Ronglih Cheng, Susan |
author_facet | Hiremath, Pranoti Bauer, Michael Aguirre, Aaron D. Cheng, Hui-Wen Unno, Kazumasa Patel, Ravi B. Harvey, Bethany W. Chang, Wei-Ting Groarke, John D. Liao, Ronglih Cheng, Susan |
author_sort | Hiremath, Pranoti |
collection | PubMed |
description | The transition from healthy myocardium to hypertensive heart disease is characterized by a series of poorly understood changes in myocardial tissue microstructure. Incremental alterations in the orientation and integrity of myocardial fibers can be assessed using advanced ultrasonic image analysis. We used a modified algorithm to investigate left ventricular myocardial microstructure based on analysis of the reflection intensity at the myocardial-pericardial interface on B-mode echocardiographic images. We evaluated the extent to which the novel algorithm can differentiate between normal myocardium and hypertensive heart disease in humans as well as in a mouse model of afterload resistance. The algorithm significantly differentiated between individuals with uncomplicated essential hypertension (N = 30) and healthy controls (N = 28), even after adjusting for age and sex (P = 0.025). There was a trend in higher relative wall thickness in hypertensive individuals compared to controls (P = 0.08), but no difference between groups in left ventricular mass (P = 0.98) or total wall thickness (P = 0.37). In mice, algorithm measurements (P = 0.026) compared with left ventricular mass (P = 0.053) more clearly differentiated between animal groups that underwent fixed aortic banding, temporary aortic banding, or sham procedure, on echocardiography at 7 weeks after surgery. Based on sonographic signal intensity analysis, a novel imaging algorithm provides an accessible, non-invasive measure that appears to differentiate normal left ventricular microstructure from myocardium exposed to chronic afterload stress. The algorithm may represent a particularly sensitive measure of the myocardial changes that occur early in the course of disease progression. |
format | Online Article Text |
id | pubmed-4022613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40226132014-05-21 Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease Hiremath, Pranoti Bauer, Michael Aguirre, Aaron D. Cheng, Hui-Wen Unno, Kazumasa Patel, Ravi B. Harvey, Bethany W. Chang, Wei-Ting Groarke, John D. Liao, Ronglih Cheng, Susan PLoS One Research Article The transition from healthy myocardium to hypertensive heart disease is characterized by a series of poorly understood changes in myocardial tissue microstructure. Incremental alterations in the orientation and integrity of myocardial fibers can be assessed using advanced ultrasonic image analysis. We used a modified algorithm to investigate left ventricular myocardial microstructure based on analysis of the reflection intensity at the myocardial-pericardial interface on B-mode echocardiographic images. We evaluated the extent to which the novel algorithm can differentiate between normal myocardium and hypertensive heart disease in humans as well as in a mouse model of afterload resistance. The algorithm significantly differentiated between individuals with uncomplicated essential hypertension (N = 30) and healthy controls (N = 28), even after adjusting for age and sex (P = 0.025). There was a trend in higher relative wall thickness in hypertensive individuals compared to controls (P = 0.08), but no difference between groups in left ventricular mass (P = 0.98) or total wall thickness (P = 0.37). In mice, algorithm measurements (P = 0.026) compared with left ventricular mass (P = 0.053) more clearly differentiated between animal groups that underwent fixed aortic banding, temporary aortic banding, or sham procedure, on echocardiography at 7 weeks after surgery. Based on sonographic signal intensity analysis, a novel imaging algorithm provides an accessible, non-invasive measure that appears to differentiate normal left ventricular microstructure from myocardium exposed to chronic afterload stress. The algorithm may represent a particularly sensitive measure of the myocardial changes that occur early in the course of disease progression. Public Library of Science 2014-05-15 /pmc/articles/PMC4022613/ /pubmed/24831515 http://dx.doi.org/10.1371/journal.pone.0097424 Text en © 2014 Hiremath et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hiremath, Pranoti Bauer, Michael Aguirre, Aaron D. Cheng, Hui-Wen Unno, Kazumasa Patel, Ravi B. Harvey, Bethany W. Chang, Wei-Ting Groarke, John D. Liao, Ronglih Cheng, Susan Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease |
title | Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease |
title_full | Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease |
title_fullStr | Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease |
title_full_unstemmed | Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease |
title_short | Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease |
title_sort | identifying early changes in myocardial microstructure in hypertensive heart disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022613/ https://www.ncbi.nlm.nih.gov/pubmed/24831515 http://dx.doi.org/10.1371/journal.pone.0097424 |
work_keys_str_mv | AT hiremathpranoti identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT bauermichael identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT aguirreaarond identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT chenghuiwen identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT unnokazumasa identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT patelravib identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT harveybethanyw identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT changweiting identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT groarkejohnd identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT liaoronglih identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease AT chengsusan identifyingearlychangesinmyocardialmicrostructureinhypertensiveheartdisease |