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Updated: Jul 22, 2026

Ultrasonic Assessment of Myocardial Microstructure
Published on: January 14, 2014
Global myocardial work in coronary artery disease patients without regional wall motion abnormality: Correlation with
Miao Li1, Yuhao Wang1, Lin Li1
1Department of Cardiovascular Ultrasound, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Insights
Global myocardial work efficiency (GWE) can detect severe coronary artery disease (CAD) in patients without wall motion abnormalities. This novel measure, global myocardial work (GMW), is superior to global longitudinal strain (GLS) for early CAD detection.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Early detection of coronary atherosclerotic diseases (CAD) without regional wall motion abnormality (RWMA) is crucial for improving cardiovascular outcomes.
- Global myocardial work (GMW) parameters, including global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global myocardial work efficiency (GWE), offer comprehensive quantitative assessment of myocardial function in CAD.
Purpose of the Study:
- To investigate the incremental value of GMW in detecting CAD in patients without RWMA.
- To assess if GMW parameters can predict the severity of coronary lesions.
Main Methods:
- 124 patients referred for coronary angiography (CAG) without resting RWMA were enrolled.
- Global longitudinal strain (GLS), GWI, GCW, GWW, and GWE were quantified.
- Coronary lesion severity was evaluated by Gensini score (GS); patients were stratified into low, mid, and high GS subgroups.
Main Results:
- CAD patients exhibited decreased GLS, GWE, GWI, GCW, and increased GWW compared to controls.
- GWW increased in mid-GS group, while GLS, GWE, GWI, GCW decreased and GWW increased in high-GS group.
- GWE was the most powerful predictor of high-GS, outperforming GLS, with GWE under 92.0% optimally identifying high-GS.
Conclusions:
- Global myocardial work efficiency (GWE) is a potential predictive indicator for detecting severe coronary disease in non-RWMA CAD patients.
- GWE demonstrated superior performance compared to conventional GLS in identifying severe coronary lesions.
Background:
Early detection of coronary atherosclerotic diseases (CAD) without regional wall motion abnormality (RWMA) is important for improving the outcome of cardiovascular events. Global myocardial work (GMW), including global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global myocardial work efficiency (GWE), offer comprehensive quantitative assessment of myocardial function in CAD.
Hypothesis:
We hypothesized that GMW could provide incremental value in detecting CAD without RWMA.
Methods:
One hundred and twenty-four patients referred for coronary angiography (CAG) without resting RWMA were enrolled in this study. Global longitudinal strain (GLS), GWI, GCW, GWW, GWE were quantified. The severity of coronary lesions was evaluated by Gensini score (GS) based on CAG. We further divided CAG-confirmed CAD patients into three subgroups according to the tertiles of GS: low 0 < GS ≤ 17, mid 17 < GS ≤ 38, and high GS > 38.
Results:
Compared with control, CAD patients showed decreased GLS, GWE, GWI, GCW but an increased GWW. Compared to low-GS group, GWW was increased in the mid-GS group. GLS, GWE, GWI and GCW were decreased in the high-GS group while GWW was increased. Receiver operator characteristic curve analysis demonstrated that GWE was the most powerful predictor of high-GS and was superior to GLS. GWE under 92.0% had the optimal sensitivity and specificity for identifying high-GS.
Conclusion:
The proposed GWE, which outperformed the conventional GLS, could be considered as a potential predictive indicator to help to detect severe coronary disease in non-RWMA CAD patients.
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