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Ultrasonic Assessment of Myocardial Microstructure
Published on: January 14, 2014
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Identifying early changes in myocardial microstructure in hypertensive heart disease
Pranoti Hiremath1, Michael Bauer2, Aaron D Aguirre2
1Harvard Medical School, Boston, Massachusetts, United States of America.
Plos One
|May 17, 2014
Summary
A new ultrasound algorithm accurately distinguishes healthy heart muscle from hypertensive heart disease by analyzing myocardial microstructure. This non-invasive imaging technique shows promise for early disease detection.
Area of Science:
- Cardiology
- Biomedical Imaging
- Medical Diagnostics
Background:
- Hypertensive heart disease involves poorly understood changes in myocardial microstructure.
- Assessing myocardial fiber orientation and integrity is crucial for understanding disease progression.
- Advanced ultrasonic image analysis offers potential for evaluating these microstructural changes.
Purpose of the Study:
- To develop and validate a novel algorithm for assessing left ventricular myocardial microstructure.
- To evaluate the algorithm's ability to differentiate between normal myocardium and hypertensive heart disease in humans and a mouse model.
- To determine if the algorithm can detect early microstructural changes associated with chronic afterload stress.
Main Methods:
- A modified algorithm analyzed B-mode echocardiographic image reflection intensity at the myocardial-pericardial interface.
- The algorithm was tested on human subjects with uncomplicated essential hypertension (N=30) and healthy controls (N=28).
- The algorithm was also applied to a mouse model with induced afterload resistance (aortic banding).
Main Results:
- The algorithm significantly differentiated between hypertensive individuals and healthy controls (P=0.025), even after adjusting for age and sex.
- In mice, algorithm measurements more clearly differentiated between experimental groups (fixed banding, temporary banding, sham) than left ventricular mass (P=0.026).
- A trend towards higher relative wall thickness was observed in hypertensive individuals, but no significant differences in left ventricular mass or total wall thickness were found.
Conclusions:
- A novel imaging algorithm based on sonographic signal intensity provides a non-invasive measure of left ventricular microstructure.
- This algorithm can differentiate normal myocardium from myocardium affected by chronic afterload stress.
- The algorithm shows potential as a sensitive tool for detecting early myocardial changes in hypertensive heart disease progression.
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