Two-dimensional echocardiographic automated border detection accurately reflects changes in left ventricular volume

Area of Science:

• Cardiovascular Physiology
• Medical Imaging Technology
• Echocardiography

Background:

• Accurate measurement of left ventricular volume is crucial for diagnosing and managing cardiac conditions.
• Traditional methods for volume assessment can be invasive or less precise.
• Automated border detection in echocardiography offers a potential non-invasive alternative.

Purpose of the Study:

• To assess the relationship between left ventricular cavity area measured by automated border detection and true left ventricular volume.
• To validate the accuracy of echocardiographic automated border detection in reflecting volume changes.
• To evaluate the reliability of this method during isovolumic contractions.

Main Methods:

• Utilized an isolated canine heart preparation with an intraventricular balloon for precise volume control.
• Recorded left ventricular area data from midventricular short-axis echocardiograms and pressure data.
• Performed linear regression analysis correlating automated border detection area with absolute volume across various volume increments.

Main Results:

• A predominantly linear relationship was observed between left ventricular area and volume (average correlation r = 0.97).
• The method demonstrated high accuracy, with minimal variation during isovolumic contractions in most hearts.
• Echocardiographic automated border detection showed a strong correlation with true left ventricular volume.

Conclusions:

• The relationship between cross-sectional left ventricular area and volume is predominantly linear in normal canine hearts.
• Echocardiographic automated border detection is a promising, non-invasive method for reflecting changes in left ventricular volume.
• This technique demonstrates reliability and accuracy for assessing cardiac function.