Advances in the Application of Non-Invasive Myocardial Work in Assessing Left Ventricular Function and Prognosis After Percutaneous Coronary Intervention in Patients with Acute Myocardial Infarction

Timely assessment of left ventricular function, prognosis prediction, and subsequent adjustment of clinical treatment strategies are crucial for improving clinical outcomes in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Traditional assessment methods, such as cardiac magnetic resonance imaging and conventional echocardiography, have limitations, including high cost, time consumption, or insufficient sensitivity. Non-invasive Myocardial Work (MW) technology, by combining speckle tracking and left ventricular pressure-strain loops, dynamically quantifies myocardial mechanical properties, providing a novel non-invasive approach for assessing AMI patients after PCI. This article analyzes recent literature, elaborates on the principles of MW technology and its application in left ventricular function evaluation, dynamic monitoring of postoperative myocardial function, and guiding clinical treatment decisions after PCI in AMI patients. It also discusses the current limitations of MW technology and its future prospects, aiming to explore the clinical value of MW technology in the assessment of AMI patients after PCI.

Authors

Institutions

Publication Details

Journal
International Journal of Biology and Life Sciences
Published
2025-09-23
DOI
https://doi.org/10.54097/tpgv6e95
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advances in the Application of Non-Invasive Myocardial Work in Assessing Left Ventricular Function and Prognosis After Percutaneous Coronary Intervention in Patients with Acute Myocardial Infarction

Li Wu, Chengcai Chen, S T Feng, Shuiqiao Fu
International Journal of Biology and Life Sciences
Cardiac Imaging and Diagnostics
article

Advances in the Application of Non-Invasive Myocardial Work in Assessing Left Ventricular Function and Prognosis After Percutaneous Coronary Intervention in Patients with Acute Myocardial Infarction

Li Wu, Chengcai Chen, S T Feng, Shuiqiao Fu
article en

Abstract

Timely assessment of left ventricular function, prognosis prediction, and subsequent adjustment of clinical treatment strategies are crucial for improving clinical outcomes in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Traditional assessment methods, such as cardiac magnetic resonance imaging and conventional echocardiography, have limitations, including high cost, time consumption, or insufficient sensitivity. Non-invasive Myocardial Work (MW) technology, by combining speckle tracking and left ventricular pressure-strain loops, dynamically quantifies myocardial mechanical properties, providing a novel non-invasive approach for assessing AMI patients after PCI. This article analyzes recent literature, elaborates on the principles of MW technology and its application in left ventricular function evaluation, dynamic monitoring of postoperative myocardial function, and guiding clinical treatment decisions after PCI in AMI patients. It also discusses the current limitations of MW technology and its future prospects, aiming to explore the clinical value of MW technology in the assessment of AMI patients after PCI.

International Journal of Biology and Life SciencesVol. 12(1)
Affiliated Hospital of Youjiang Medical University for Nationalities (CN)
Openalex Percentile: Top 61%
Cardiac Imaging and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.