Progress And Challenges of Coronary Angiography in The Diagnosis and Treatment of Coronary Heart Disease
DOI:
https://doi.org/10.54097/qdgvm489Keywords:
Coronary Heart Disease, Coronary Angiography, Image Segmentation, Deep learning.Abstract
As living standards improve, the incidence of coronary heart disease (CHD) has been rising. Against this backdrop, coronary angiography has become a pivotal tool in cardiovascular medicine, establishing itself as the gold standard for the diagnosis and treatment of CHD. This review outlines the latest advancements in coronary angiography techniques, which have greatly enhanced the clarity with which physicians can view coronary artery structures and the precision of diagnoses. Clinically, coronary angiography not only plays a central role in diagnosing CHD but also exhibits unique advantages in managing acute coronary syndromes, myocardial infarctions, and interventional treatments. Real-time imaging technologies enable physicians to make swift and accurate clinical judgments and provide timely interventions for patients. This article also reviews the literature to discuss the symptoms and susceptibility factors of CHD, the fundamental principles and conditions of coronary angiography technology, the analysis of diagnostic results, and the potential to enhance the diagnostic efficiency of CHD using emerging algorithmic models.
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