AIMC Topic: Pulmonary Veins

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Robot-assisted thoracic surgery is effective for right upper lobectomy in cases with a rare variation pattern of the pulmonary veins.

BMJ case reports Apr 1, 2022
Humans Robotics Robotic Surgical Procedures Pneumonectomy Thoracic Surgery Pulmonary Veins
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A machine learning-based pulmonary venous obstruction prediction model using clinical data and CT image.

International journal of computer assisted radiology and surgery Mar 31, 2021
PURPOSE: In this study, we try to consider the most common type of total anomalous pulmonary venous connection and established a machine learning-based prediction model for postoperative pulmonary venous obstruction by using clinical data and CT imag...
Humans Neural Networks, Computer Logistic Models Machine Learning Predictive Value of Tests Tomography, X-Ray Computed Area Under Curve Lung Vascular Diseases ROC Curve Pulmonary Veins
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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.
Aged Male Middle Aged ROC Curve Atrial Fibrillation Humans Machine Learning Prognosis Retrospective Studies Female Heart Atria Catheter Ablation Recurrence Pulmonary Veins Atrial Appendage
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Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.

Circulation. Arrhythmia and electrophysiology Feb 12, 2021
[Figure: see text].
Humans Male Middle Aged Risk Assessment Treatment Outcome Action Potentials Predictive Value of Tests Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Risk Factors Recurrence Atrial Function, Left Fractals Radiographic Image Interpretation, Computer-Assisted Pulmonary Veins Atrial Fibrillation Heart Atria Heart Rate Catheter Ablation
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The Clinical Application of the Deep Learning Technique for Predicting Trigger Origins in Patients With Paroxysmal Atrial Fibrillation With Catheter Ablation.

Circulation. Arrhythmia and electrophysiology Oct 6, 2020
BACKGROUND: Non-pulmonary vein (NPV) trigger has been reported as an important predictor of recurrence post-atrial fibrillation ablation. Elimination of NPV triggers can reduce the recurrence of postablation atrial fibrillation. Deep learning was app...
Recurrence Computed Tomography Angiography Phlebography Pulmonary Veins Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Atrial Fibrillation Heart Rate Catheter Ablation Risk Factors Aged Adult Male Middle Aged Risk Assessment Deep Learning Time Factors Treatment Outcome Action Potentials Humans Retrospective Studies Female Reproducibility of Results
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Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a m...
Meglumine Organometallic Compounds Recurrence Models, Cardiovascular Patient-Specific Modeling Risk Assessment Pulmonary Veins Reproducibility of Results Risk Factors Humans Aged Heart Rate Diagnosis, Computer-Assisted Machine Learning Male Action Potentials Catheter Ablation Treatment Outcome Retrospective Studies Middle Aged Predictive Value of Tests Proof of Concept Study Female Contrast Media Atrial Fibrillation Magnetic Resonance Imaging
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Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

Medical image analysis Nov 16, 2019
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the quantification and analysis of atrial scars can be challenging due to...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging Cicatrix Atrial Fibrillation Heart Atria Catheter Ablation Pulmonary Veins
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Deep residual network for off-resonance artifact correction with application to pediatric body MRA with 3D cones.

Magnetic resonance in medicine May 22, 2019
PURPOSE: To enable rapid imaging with a scan time-efficient 3D cones trajectory with a deep-learning off-resonance artifact correction technique.
Pulmonary Veins Child Imaging, Three-Dimensional Artifacts Magnetic Resonance Angiography Phantoms, Imaging Humans Female Male Deep Learning Child, Preschool
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Comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation catheter ablation using robotic magnetic navigation system.

Clinical cardiology Mar 15, 2019
BACKGROUND: No data exist on comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation (AF) ablation using robotic magnetic navigation system (MNS), respectively.
Echocardiography Middle Aged Adolescent Heart Atria Robotics Risk Factors Treatment Outcome Humans Heart Rate Follow-Up Studies Aged Catheter Ablation Prospective Studies Equipment Design Young Adult Recurrence Tomography, X-Ray Computed Surgery, Computer-Assisted Adult Pulmonary Veins Female Heart Conduction System Male Atrial Fibrillation
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Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms.

Heart and vessels Aug 23, 2018
Inflammation, oxidative stress, myocardial injury biomarkers and clinical parameters (longer AF duration, left atrial enlargement, the metabolic syndrome) are factors commonly related to AF recurrence. This study aims to assess the predictive value o...
Female Humans Electrocardiography, Ambulatory Cryosurgery Male Heart Conduction System Machine Learning Middle Aged Atrial Fibrillation Algorithms Time Factors Recurrence Prognosis Follow-Up Studies Pulmonary Veins Retrospective Studies
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