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Pacemaker Implantation in a Patient With Isolated Persistent Left Superior Vena Cava: A Novel Approach.
Clin Case Rep
January 2025
Tehran Heart Center Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences Tehran Iran.
Implanting pacemakers in patients with isolated persistent left superior vena cava (PLSVC) present unique challenges. Recognizing venous anomalies and adapting lead placement techniques are crucial for successful outcomes and stable pacemaker function.
View Article and Find Full Text PDFPrediction of Cardiac Remodeling and/or Myocardial Fibrosis Based on Hemodynamic Parameters of Vena Cava in Athletes.
Curr Med Imaging
January 2025
Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Purpose: This study aimed to assess the hemodynamic changes in the vena cava and predict the likelihood of Cardiac Remodeling (CR) and Myocardial Fibrosis (MF) in athletes utilizing four-dimensional (4D) parameters.
Materials And Methods: A total of 108 athletes and 29 healthy sedentary controls were prospectively recruited and underwent Cardiac Magnetic Resonance (CMR) scanning. The 4D flow parameters, including both general and advanced parameters of four planes for the Superior Vena Cava (SVC) and Inferior Vena Cava (IVC) (sheets 1-4), were measured and compared between the different groups.
Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.
Open Heart
January 2025
Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis imaging quantitative CT, AI-QCT).
Methods: The study included 208 patients with suspected coronary artery disease (CAD) undergoing CCTA in Perfusion Imaging and CT Coronary Angiography With Invasive Coronary Angiography-1.
End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.
Open Heart
January 2025
Department of Molecular and Clinical Medicine, University of Gothenburg Institute of Medicine, Gothenburg, Sweden.
Purpose: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ECG-gated coronary CT angiography (CCTA) scans.
Methods: From a database of 6293 CCTA scans, we used pre-existing curved multiplanar reformations (CMR) images of the LAD, RCA and LCX arteries to create end-to-end deep-learning models for the detection of moderate or severe stenoses. We preprocessed the images by exploiting domain knowledge and employed a transfer learning approach using EfficientNet, ResNet, DenseNet and Inception-ResNet, with a class-weighted strategy optimised through cross-validation.
Surgical Resection of Superior Vena Cava Saccular Aneurysm.
Ann Thorac Surg Short Rep
September 2024
Division of Cardio-thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine at Christus Children's Hospital of San Antonio, Texas.
Aneurysms of the superior vena cava are rare vascular malformations of systemic veins. This report presents the case of a 27-year-old woman with an incidental finding of mediastinal shadow widening on the chest roentgenogram that was confirmed by computed tomographic angiography to be a superior vena cava saccular aneurysm >4 cm in diameter. Surgical resection was recommended on the basis of aneurysmal size and shape and was performed through median sternotomy by using cardiopulmonary bypass.
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