Abstract
Texture analysis (TA) is a newly arisen field that can detect the invisible MRI signal changes among image pixels. Myocardial infarction (MI) is cardiomyocyte necrosis caused by myocardial ischemia and hypoxia, becoming the primary cause of death and disability worldwide. In recent years, various TA studies have been performed in patients with MI and show a good clinical application prospect. This review briefly presents the main pathogenesis and pathophysiology of MI, introduces the overview and workflow of TA, and summarizes multiple magnetic resonance TA (MRTA) clinical applications in MI. We also discuss the facing challenges currently for clinical utilization and propose the prospect.
Highlights
Myocardial infarction (MI) is myocardial necrosis caused by ischemia and hypoxia of cardiomyocytes, an imbalance between oxygen offering and myocardial requirement
The European Society of Cardiology (ESC) has conducted the fourth universal definition of MI from cardiac troponin values and clinical myocardial ischemia evidence that is ranging from symptoms of myocardial ischemia, ECG abnormalities, and new imaging evidence [4]
The results showed that the horizontal fraction demonstrated a significantly higher area under the curve (AUC) (0.91) than other texture features in identifying unsalvageable and salvageable myocardium
Summary
Myocardial infarction (MI) is myocardial necrosis caused by ischemia and hypoxia of cardiomyocytes, an imbalance between oxygen offering and myocardial requirement. It belongs to a part of the clinical manifestation of the acute coronary syndrome (ACS) [1]. The European Society of Cardiology (ESC) has conducted the fourth universal definition of MI from cardiac troponin values (cTn) and clinical myocardial ischemia evidence that is ranging from symptoms of myocardial ischemia, ECG abnormalities, and new imaging evidence [4]. Clinical ischemic symptoms are not specific for myocardial ischemia and may be misdiagnosed as other medical conditions [5]. More sensitive, precise, and specific techniques are required for the diagnosis and characterization of MI
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