AIMC Topic: Tricuspid Atresia

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Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models.

European radiology Nov 8, 2019
OBJECTIVES: This study aimed to develop non-invasive machine learning classifiers for predicting post-Glenn shunt patients with low and high risks of a mean pulmonary arterial pressure (mPAP) > 15 mmHg based on preoperative cardiac computed tomograph...
Adolescent Child, Preschool Lung Logistic Models Support Vector Machine Child Young Adult Infant Male Tomography, X-Ray Computed Female Retrospective Studies Tricuspid Atresia Cardiac Catheterization Pulmonary Atresia Heart Septal Defects Univentricular Heart Pulmonary Artery Transposition of Great Vessels Double Outlet Right Ventricle Heart Defects, Congenital Fontan Procedure Machine Learning Bayes Theorem Humans Discriminant Analysis Prognosis Blood Pressure Algorithms
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Mechanism for temporal changes in exercise capacity after Fontan palliation: Role of Doppler echocardiography.

American heart journal Oct 22, 2017
BACKGROUND: The objective was to better understand Doppler hemodynamics and exercise capacity in patients with Fontan palliation by delineating the hemodynamic mechanism for temporal changes in their peak oxygen consumption (V̇o).
Echocardiography, Doppler Heart Defects, Congenital Fontan Procedure Academic Medical Centers Treatment Outcome Adult Pulmonary Atresia Retrospective Studies Follow-Up Studies Tricuspid Atresia Age Factors Cohort Studies Oxygen Consumption Young Adult Michigan Double Outlet Right Ventricle Time Factors Male Exercise Test Exercise Tolerance Humans
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