AIMC Topic: Atrial Appendage

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Detecting the left atrial appendage in CT localizers using deep learning.

Scientific reports May 2, 2025
Patients with cardioembolic stroke often undergo CT of the left atrial appendage (LAA), for example, to determine whether thrombi are present in the LAA. To guide the imaging process, technologists first perform a localizer scan, which is a prelimina...
Atrial Appendage Male Middle Aged Deep Learning Embolic Stroke Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over
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Causal Machine Learning for Left Atrial Appendage Occlusion in Patients With Atrial Fibrillation.

JACC. Clinical electrophysiology Feb 12, 2025
BACKGROUND: Transcatheter left atrial appendage occlusion (LAAO) is an alternative to lifelong anticoagulation, but optimal patient selection remains challenging.
Humans Machine Learning Male Anticoagulants Atrial Fibrillation Propensity Score Atrial Appendage Retrospective Studies Female Aged Aged, 80 and over
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Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.

The international journal of cardiovascular imaging Sep 25, 2024
Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrast and slow LAA blood...
Computed Tomography Angiography Atrial Appendage Radiographic Image Interpretation, Computer-Assisted Atrial Fibrillation Thrombophilia Multidetector Computed Tomography Predictive Value of Tests Anticoagulants Blood Coagulation Coronary Angiography Female Reproducibility of Results Risk Factors Aged Humans Middle Aged Machine Learning Risk Assessment Radiomics Decision Support Techniques Nomograms Male Retrospective Studies
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Predictors of left atrial appendage thrombus in atrial fibrillation patients undergoing cardioversion.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Jul 12, 2024
BACKGROUND: Atrial fibrillation and atrial flutter represent the most prevalent clinically significant cardiac arrhythmias. While the CHA2DS2-VASc score is commonly used to inform anticoagulation therapy decisions for patients with these conditions, ...
Risk Factors Aged Male Middle Aged Risk Assessment Predictive Value of Tests Thrombosis Atrial Fibrillation Machine Learning Electric Countershock Algorithms Echocardiography, Transesophageal Retrospective Studies Humans Atrial Appendage Female Atrial Flutter
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A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.

BMC medical imaging Mar 9, 2021
OBJECTIVE: To investigate left atrial shape differences on CT scans of atrial fibrillation (AF) patients with (AF+) versus without (AF-) post-ablation recurrence and whether these shape differences predict AF recurrence.
Male Middle Aged ROC Curve Atrial Fibrillation Atrial Appendage Heart Atria Humans Prognosis Machine Learning Catheter Ablation Retrospective Studies Recurrence Female Pulmonary Veins Aged
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Automated extraction of left atrial volumes from two-dimensional computer tomography images using a deep learning technique.

International journal of cardiology Apr 11, 2020
BACKGROUND: Precise segmentation of the left atrium (LA) in computed tomography (CT) images constitutes a crucial preparatory step for catheter ablation in atrial fibrillation (AF). We aim to apply deep convolutional neural networks (DCNNs) to automa...
Tomography, X-Ray Computed Humans Deep Learning Atrial Fibrillation Computers Catheter Ablation Heart Atria Atrial Appendage
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Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random Fields.

IEEE journal of biomedical and health informatics Jan 17, 2018
Thrombosis has become a global disease threatening human health. The left atrial appendage (LAA) is a major source of thrombosis in patients with atrial fibrillation (AF). Positive correlation exists between LAA volume and AF risk. LAA morphology has...
Computed Tomography Angiography Humans Neural Networks, Computer Atrial Appendage Algorithms Imaging, Three-Dimensional
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Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence.

BMC medical imaging May 26, 2025
BACKGROUND: Structural remodeling of the left atrial appendage (LAA) is characteristic of atrial fibrillation (AF), and LAA morphology impacts radiofrequency catheter ablation (RFCA) outcomes. In this study, we aimed to develop and validate a predict...
Humans Retrospective Studies Female Deep Learning Atrial Fibrillation Catheter Ablation Recurrence Computed Tomography Angiography Aged Radiomics Male Middle Aged Atrial Appendage
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Stroke prediction in elderly patients with atrial fibrillation using machine learning combined clinical and left atrial appendage imaging phenotypic features.

BMC cardiovascular disorders May 24, 2025
BACKGROUND: Atrial fibrillation (AF) is one of the primary etiologies for ischemic stroke, and it is of paramount importance to delineate the risk phenotypes among elderly AF patients and to investigate more efficacious models for predicting stroke r...
Computed Tomography Angiography Atrial Appendage Predictive Value of Tests Ischemic Stroke Stroke Atrial Fibrillation Risk Factors Aged Aged, 80 and over Male Risk Assessment Incidence Phenotype Humans Support Vector Machine Machine Learning Prospective Studies Age Factors Decision Support Techniques Prognosis Female
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Deep learning networks in the segmentation of the left atrial appendage in 2D ultrasound: A comparative analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Left atrial appendage (LAA) is the major source of thromboembolism in patients with non-valvular atrial fibrillation. Currently, LAA occlusion can be offered as a treatment for these patients, obstructing the LAA through a percutaneously delivered de...
Humans Ultrasonography Databases, Factual Echocardiography, Transesophageal Deep Learning Atrial Appendage
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