AIMC Topic: Pulmonary 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 Tricuspid Atresia Cardiac Catheterization Pulmonary Atresia Young Adult Machine Learning Heart Septal Defects Infant Univentricular Heart Humans Male Pulmonary Artery Prognosis Tomography, X-Ray Computed Transposition of Great Vessels Algorithms Female Double Outlet Right Ventricle Retrospective Studies Heart Defects, Congenital Fontan Procedure Blood Pressure Discriminant Analysis Bayes Theorem
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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 Double Outlet Right Ventricle Exercise Tolerance Treatment Outcome Adult Retrospective Studies Follow-Up Studies Time Factors Cohort Studies Oxygen Consumption Young Adult Michigan Age Factors Male Humans Exercise Test Pulmonary Atresia Tricuspid Atresia
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