Related Experiment Video
Updated: Oct 21, 2025

Scanning Electron Microscopy of Macerated Tissue to Visualize the Extracellular Matrix
Published on: June 14, 2016
Association Between Echocardiographic Non-invasive Myocardial Work Indices and Myocardial Fibrosis in Patients With
Cunying Cui1, Yanan Li1, Yuanyuan Liu1
1Department of Ultrasound, The People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Insights
Global myocardial work indices, including global constructive work (GCW), can non-invasively predict left ventricular (LV) myocardial fibrosis in dilated cardiomyopathy (DCM) patients. GCW and LV ejection fraction (LVEF) showed superior accuracy compared to global longitudinal strain (GLS).
Area of Science:
- Cardiology
- Cardiovascular Imaging
- Biomedical Engineering
Background:
- Dilated cardiomyopathy (DCM) is characterized by left ventricular (LV) dysfunction.
- LV myocardial fibrosis is a key pathological feature in DCM, impacting prognosis.
- Non-invasive assessment of myocardial fibrosis and work indices is crucial for DCM management.
Purpose of the Study:
- To investigate the association between non-invasive global myocardial work indices and LV myocardial fibrosis in DCM patients.
- To compare the predictive accuracy of different myocardial work indices and global longitudinal strain (GLS) for detecting LV myocardial fibrosis.
Main Methods:
- Prospective study of 57 DCM patients.
- Left ventricular (LV) pressure-strain loop (PSL) analysis to measure global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE).
- Cardiac magnetic resonance imaging (CMRI) for LV volumes, LV ejection fraction (LVEFCMRI), and late gadolinium enhancement (LGE) to assess myocardial fibrosis.
Main Results:
- Patients with LGE (fibrosis) showed significantly reduced GWI, GCW, GWE, GLS, and LVEFCMRI compared to those without LGE.
- LVEFCMRI, GLS, GWI, GCW, and GWE remained independent predictors of LV myocardial fibrosis after adjusting for age and LV end-systolic volume index.
- Receiver operating characteristic (ROC) analysis indicated that LVEFCMRI and GCW demonstrated higher accuracy, sensitivity, and specificity in predicting LV myocardial fibrosis than GLS.
Conclusions:
- Non-invasive global myocardial work indices (GWI, GCW, GWE) and LVEFCMRI, GLS are significant predictors of LV myocardial fibrosis in DCM.
- LVEFCMRI and GCW exhibit superior predictive performance for LV myocardial fibrosis compared to GLS.
- These findings support the utility of non-invasive myocardial work analysis in assessing cardiac fibrosis in DCM.
Abstract:
Objectives: To analyze the association between global myocardial work indices evaluated by non-invasive left ventricular (LV) pressure-strain loop (PSL) and LV myocardial fibrosis in patients with dilated cardiomyopathy (DCM). Methods: A total of 57 patients with DCM were included in this prospective study. Global work index (GWI), global constructive work (GCW), global wasted work (GWW), global work efficiency (GWE) and global longitudinal strain (GLS) were measured using LVPSL. LV volumes and LV ejection fraction (LVEF) were evaluated using cardiac magnetic resonance imaging (CMRI), LV myocardial fibrosis was estimated at CMRI by qualitative assessment of late gadolinium enhancement (LGE). According to the CMRI, the studied population was divided into two groups, namely: patients without LGE (LGE-) and patients with LGE (LGE+). Results: The LGE+ group presented with increased age, LV end systolic volume (LVESV) index and reduced GWI, GCW, GWE, GLS, CMRI-derived LVEF (LVEFCMRI), the differences between the two groups were statistically significant (P < 0.05). After correcting for age and LVESV index, LVEFCMRI, GLS, GWI, GCW, and GWE retained independent associations with LV myocardial fibrosis. According to receiver operating characteristics (ROC) analysis, LVEFCMRI, and GCW showed larger AUC and higher accuracy, sensitivity, and specificity than GLS, the accuracy of predicting LV myocardial fibrosis ranged from high to low as: LVEFCMRI, GCW, GWE, GWI, and GLS. Conclusions: LVEFCMRI, GWI, GCW, GWE, and GLS remained significant predictors of LV myocardial fibrosis. LVEFCMRI, and GCW appeared to better predict LV myocardial fibrosis compared with GLS.
Related Concept Videos
Myocarditis I: Introduction
Cardiomyopathy III: Hypertrophic Cardiomyopathy
Cardiomyopathy II: Dilated Cardiomyopathy

