Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

The relation between viable segments and left ventricular ejection fraction improvement.

H-C Han¹, S Lerakis

¹Department of Mechanical Engineering & Biomechanics, The University of Texas at San Antonio, San Antonio, TX, USA. hchan@utsa.edu

Journal of Medical Engineering & Technology

|October 30, 2004

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Editorial: Unravelling the reality of COVID-19 cardiovascular complications: true myocarditis vs. myocardial injury-the role of a multilayered approach.

Frontiers in cardiovascular medicine·2024

Same author

Epicardial and pericardial adipose tissue: physiological importance and role of imaging techniques.

Minerva cardioangiologica·2012

Same author

Left atrial appendage exclusion system for stroke prevention in atrial fibrillation: a percutaneous device delivery approach.

Minerva cardioangiologica·2008

Same author

Candida infective endocarditis.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2008

Same author

Transesophageal echo detection of postpartum coronary artery dissection.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography·2001

Same author

Pacing and hypertrophic cardiomyopathy.

The American journal of the medical sciences·2001

Same journal

News and Product Update.

Journal of medical engineering & technology·2026

Same journal

PMMA based ultra miniaturized implantable antenna for biotelemetry applications.

Journal of medical engineering & technology·2026

Same journal

Comparative machine learning for accurate EEG-based epileptic seizure state classification using sub-band analysis.

Journal of medical engineering & technology·2026

Same journal

Genetic algorithm-optimized machine learning approaches for EEG-based silent speech decoding.

Journal of medical engineering & technology·2026

Same journal

Power transition signatures of vibroarthrographic spectrograms for diagnosing knee joint pathologies.

Journal of medical engineering & technology·2026

Same journal

News and product update.

Journal of medical engineering & technology·2026

See all related articles

Estimating left ventricular ejection fraction (LVEF) improvement after revascularization is crucial for coronary artery disease patients. A new model predicts LVEF improvement using segmental function recovery, offering better accuracy than previous methods.

Area of Science:

Cardiology
Medical Imaging
Computational Biology

Background:

Left ventricular ejection fraction (LVEF) improvement post-revascularization is vital for long-term outcomes in coronary artery disease (CAD) patients with left ventricular dysfunction.
Echocardiography-based identification of viable myocardial segments is a known predictor of LVEF improvement, but a quantitative link remains elusive.
A clinical need exists for precise parameters to predict LVEF enhancement after revascularization.

Purpose of the Study:

To establish a quantitative relationship between segmental myocardial function recovery and global LVEF improvement after revascularization.
To develop and validate a predictive model for LVEF improvement in CAD patients.

Main Methods:

A cylindrical left ventricular model was developed based on a 12-segment echocardiographic model.

Related Experiment Videos

The model relates segmental myocardial function to LVEF, incorporating contraction ratios and wall motion score changes.

Model predictions were validated in a small cohort of four CAD patients undergoing revascularization.

Main Results:

LVEF improvement is directly correlated with the contraction ratio in normally functioning segments.
A weighted sum of viable segments recovering to normal or hypokinetic function (change in wall motion score) significantly predicts LVEF improvement.
The proposed combined parameter demonstrated superior predictive capability for LVEF improvement compared to preoperative LVEF or the total number of viable segments.

Conclusions:

The developed cylindrical left ventricular model provides a novel, quantitative method to predict LVEF improvement post-revascularization.
This model, utilizing segmental function recovery, offers a more accurate prognostic tool for CAD patients than existing metrics.
Further validation in larger patient cohorts is warranted to solidify its clinical utility.