AIMC Topic: Tetralogy of Fallot

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Right ventricular dysfunction following tetralogy of Fallot correction: anatomical determinants and therapeutic strategies.

International journal of surgery (London, England) Apr 1, 2025
Right ventricular dysfunction following surgical correction of tetralogy of Fallot (TOF) remains a major determinant of long-term morbidity and mortality in survivors. Despite advancements in surgical techniques, residual anatomical abnormalities - i...
Postoperative Complications Ventricular Dysfunction, Right Cardiac Surgical Procedures Tetralogy of Fallot Humans
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Electrocardiogram-Based Deep Learning to Predict Mortality in Repaired Tetralogy of Fallot.

JACC. Clinical electrophysiology Sep 18, 2024
BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to predict mortality in adults with acquired cardiovascular diseases. However, its application to the growing repaired tetralogy of Fallot (rTOF) populatio...
Middle Aged Deep Learning Adolescent Child Young Adult Adult Male Humans Female Electrocardiography Tetralogy of Fallot
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Automated biventricular quantification in patients with repaired tetralogy of Fallot using a three-dimensional deep learning segmentation model.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 11, 2024
BACKGROUND: Deep learning is the state-of-the-art approach for automated segmentation of the left ventricle (LV) and right ventricle (RV) in cardiovascular magnetic resonance (CMR) images. However, these models have been mostly trained and validated ...
Deep Learning Adolescent Child Imaging, Three-Dimensional Adult Male Ventricular Function, Left Heart Ventricles Image Interpretation, Computer-Assisted Automation Tetralogy of Fallot Treatment Outcome Predictive Value of Tests Cardiac Surgical Procedures Humans Databases, Factual Retrospective Studies Female Reproducibility of Results Young Adult Magnetic Resonance Imaging, Cine Ventricular Function, Right
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A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Feb 27, 2023
BACKGROUND: Cardiac shape modeling is a useful computational tool that has provided quantitative insights into the mechanisms underlying dysfunction in heart disease. The manual input and time required to make cardiac shape models, however, limits th...
Diastole Deep Learning Predictive Value of Tests Heart Ventricles Tetralogy of Fallot Humans
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Retraining Convolutional Neural Networks for Specialized Cardiovascular Imaging Tasks: Lessons from Tetralogy of Fallot.

Pediatric cardiology Jan 4, 2021
Ventricular contouring of cardiac magnetic resonance imaging is the gold standard for volumetric analysis for repaired tetralogy of Fallot (rTOF), but can be time-consuming and subject to variability. A convolutional neural network (CNN) ventricular ...
Heart Ventricles Neural Networks, Computer Tetralogy of Fallot Algorithms Humans Adult Female Male Case-Control Studies Magnetic Resonance Imaging
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Deep learning in congenital heart disease imaging: hope but not haste.

Heart (British Cardiac Society) Apr 27, 2020
Image Processing, Computer-Assisted Tetralogy of Fallot Humans Heart Defects, Congenital Prognosis Deep Learning
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Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis.

Heart (British Cardiac Society) Mar 11, 2020
OBJECTIVE: To assess the utility of machine learning algorithms for automatically estimating prognosis in patients with repaired tetralogy of Fallot (ToF) using cardiac magnetic resonance (CMR).
Predictive Value of Tests Registries Feasibility Studies Image Interpretation, Computer-Assisted Germany Tetralogy of Fallot Magnetic Resonance Imaging, Cine Humans Adolescent Prospective Studies Young Adult Time Factors Adult Prognosis Risk Assessment Child Female Male Diagnosis, Computer-Assisted Electrocardiography Risk Factors Middle Aged Deep Learning
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Semiautomatic Three-Dimensional Threshold-Based Cardiac Computed Tomography Ventricular Volumetry in Repaired Tetralogy of Fallot: Comparison with Cardiac Magnetic Resonance Imaging.

Korean journal of radiology Dec 27, 2018
OBJECTIVE: To assess the accuracy and potential bias of computed tomography (CT) ventricular volumetry using semiautomatic three-dimensional (3D) threshold-based segmentation in repaired tetralogy of Fallot, and to compare them to those of two-dimens...
Adolescent Tetralogy of Fallot Child Cone-Beam Computed Tomography Young Adult Humans Adult Magnetic Resonance Imaging Retrospective Studies Male Cardiac Surgical Procedures Female Stroke Volume Heart Ventricles Dimensional Measurement Accuracy
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Deep learning-based differentiation of ventricular septal defect from tetralogy of Fallot in fetal echocardiography images.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Congenital heart disease (CHD) seriously affects children's health and quality of life, and early detection of CHD can reduce its impact on children's health. Tetralogy of Fallot (TOF) and ventricular septal defect (VSD) are two types of ...
Ultrasonography, Prenatal Deep Learning Diagnosis, Differential Tetralogy of Fallot Heart Septal Defects, Ventricular Humans Neural Networks, Computer Pregnancy Female Echocardiography
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Machine learning for predictive analytics in medicine: real opportunity or overblown hype?

European heart journal. Cardiovascular Imaging Jul 1, 2018
Tetralogy of Fallot Ventricular Function Humans Machine Learning
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