Publications by authors named "Tuyen K Le"

There is a growing body of literature supporting the utilization of machine learning (ML) to improve diagnosis and prognosis tools of cardiovascular disease. The current study was to investigate the impact that the ML framework may have on the sensitivity of predicting the presence or absence of congenital heart disease (CHD) using fetal echocardiography. A comprehensive fetal echocardiogram including 2D cardiac chamber quantification, valvar assessments, assessment of great vessel morphology, and Doppler-derived blood flow interrogation was recorded.

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Background: Recent studies have demonstrated that left ventricular myocardial work (MW) is incremental in diagnosis and prognostication compared with left ventricular ejection fraction and myocardial strain. The authors performed a meta-analysis of normal ranges of noninvasive MW indices including global work index, global constructive work, global wasted work, and global work efficiency and determined confounders that may contribute to variance in reported values.

Methods: Four databases (PubMed, Scopus, Embase, and the Cochrane Library) were searched through January 2021 using the key terms "myocardial work," "global constructive work," "global wasted work," "global work index," and "global work efficiency.

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• LVD can rarely present in the subaortic position. • A muscular LVD has synchronous contraction; an aneurysm does not. • Subaortic LVD may be associated with aortic regurgitation, thrombus, and arrhythmia.

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Objectives: The aim of our work is to investigate the clinical characteristics of coronary artery fistula (CAF) anomalies in South Vietnam.

Methods: This is a retrospective analysis of 119 patients with diagnosis of definite CAF between January 1992 and April 2016. The demographic, clinical, echocardiographic, and angiographic characteristics and management of CAF with short-term outcomes are described.

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