Non-invasive global and regional myocardial work predicts high-risk stable coronary artery disease patients with normal segmental wall motion and left ventricular …

J Zhang, Y Liu, Y Deng, Y Zhu, R Sun… - Frontiers in …, 2021 - frontiersin.org
Background: Previous studies suggested that myocardial work (MW) may identify
abnormalities in the left ventricular (LV) function and establish a more sensitive index for LV …

[HTML][HTML] Association between resting myocardial work indices and stress myocardial perfusion in patients with angina and non-obstructive coronary artery disease

JC Pan, LJ Lyu, QD Liu, W Yang, XH Li… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Myocardial work (MW) indices and longitudinal strain (LS) are sensitive
markers of early left ventricular systolic dysfunction. Stress computed tomography …

[HTML][HTML] Changes in global left ventricular myocardial work indices and stunning detection 3 months after ST-segment elevation myocardial infarction

RP Lustosa, F Fortuni, P van der Bijl… - The American Journal of …, 2021 - Elsevier
Global left ventricular (LV) myocardial work (MW) indices (GLVMWI) are derived from
speckle tracking echocardiographic strain data in combination with non-invasive blood …

Myocardial work by speckle tracking echocardiography accurately assesses left ventricular function of coronary artery disease patients

H Zhu, Y Guo, X Wang, C Yang, Y Li, X Meng… - Frontiers in …, 2021 - frontiersin.org
Objective: Myocardial work (MW) is a novel non-invasive method that uses speckle tracking
echocardiography (STE) to assess left ventricular (LV) function. MW incorporates the global …

Prediction of significant coronary artery disease through advanced echocardiography: role of non-invasive myocardial work

J Sabatino, S De Rosa, I Leo, A Strangio… - Frontiers in …, 2021 - frontiersin.org
Background: Non-invasive prediction of critical coronary artery stenosis (CAST) in patients
with coronary artery disease (CAD) is challenging. Strain parameters can often capture an …

Echocardiographic study of myocardial work in patients with type 2 diabetes mellitus

L Liao, B Shi, Z Ding, L Chen, F Dong, J Li… - BMC Cardiovascular …, 2022 - Springer
Background A noninvasive left ventricular (LV) pressure-strain loop (PSL) provides a new
method to quantify myocardial work (MW) by combining global longitudinal strain (GLS) and …

Correlation between non-invasive myocardial work indices and main parameters of systolic and diastolic function: results from the EACVI NORRE study

R Manganaro, S Marchetta, R Dulgheru… - European Heart …, 2020 - academic.oup.com
Aims The present study sought to evaluate the correlation between indices of non-invasive
myocardial work (MW) and left ventricle (LV) size, traditional and advanced parameters of …

Association between echocardiographic non-invasive myocardial work indices and myocardial fibrosis in patients with dilated cardiomyopathy

C Cui, Y Li, Y Liu, D Huang, Y Hu, Y Wang… - Frontiers in …, 2021 - frontiersin.org
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 …

Global myocardial work: a new way to detect subclinical myocardial dysfunction with normal left ventricle ejection fraction in essential hypertension patients: compared …

J Huang, C Yang, ZN Yan, L Fan, CF Ni - Echocardiography, 2021 - Wiley Online Library
Objectives The aim of this study was to determine whether global myocardial work (MW),
derived from non‐invasive left ventricle (LV) pressure‐strain loops (PSL) at rest, could …

Global myocardial work is superior to global longitudinal strain to predict significant coronary artery disease in patients with normal left ventricular function and wall …

NFA Edwards, GM Scalia, K Shiino… - Journal of the American …, 2019 - Elsevier
Background Noninvasive detection of functionally significant coronary artery disease (CAD)
by echocardiography remains challenging, with the need to perform stress imaging to detect …