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Bicuspid Aortic Valve Disease

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Therapeutic approach comparison in bicuspid aortic valve aortopathy and clinical practice implications.

Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie 33817727
Bicuspid aortic valve (BAV) is the most common heart valve malformation, and it may be associated with the development of long-term complications, such as aortic stenosis (AS) secondary to valvular calcification and aortic insufficiency (AI), with or...
Aortic Valve Aortic Valve Insufficiency Bicuspid Aortic Valve Disease Heart Valve Diseases Heart Valve Prosthesis Implantation Humans Retrospective Studies
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Aortic Annulus Diameter Affects Durability of the Repaired Bicuspid Aortic Valve.

The Journal of heart valve disease 26897808
BACKGROUND AND AIM OF THE STUDY: An investigation was made as to whether the preoperative aortic annular diameter affects the durability of bicuspid aortic valve (BAV) repair in patients who had undergone concomitant root stabilization with subcommis...
Adult Aortic Valve Aortic Valve Insufficiency Bicuspid Aortic Valve Disease Cardiac Valve Annuloplasty Chi-Square Distribution Disease-Free Survival Female Heart Valve Diseases Humans Kaplan-Meier Estimate Male Middle Aged Odds Ratio Recurrence Replantation Retrospective Studies Risk Factors Time Factors Treatment Outcome
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Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery 29042101
BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morpholog...
Adult Aged Aorta, Thoracic Aortic Aneurysm Aortic Valve Aortic Valve Insufficiency Aortic Valve Stenosis Aortography Bicuspid Aortic Valve Disease Computed Tomography Angiography Cross-Sectional Studies Diagnosis, Computer-Assisted Female Heart Valve Diseases Humans Machine Learning Male Middle Aged Pattern Recognition, Automated Phenotype Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Sinus of Valsalva
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A Deep Learning Approach to Using Wearable Seismocardiography (SCG) for Diagnosing Aortic Valve Stenosis and Predicting Aortic Hemodynamics Obtained by 4D Flow MRI.

Annals of biomedical engineering 37573264
In this paper, we explored the use of deep learning for the prediction of aortic flow metrics obtained using 4-dimensional (4D) flow magnetic resonance imaging (MRI) using wearable seismocardiography (SCG) devices. 4D flow MRI provides a comprehensiv...
Aortic Valve Aortic Valve Stenosis Bicuspid Aortic Valve Disease Deep Learning Hemodynamics Humans Magnetic Resonance Imaging Retrospective Studies Wearable Electronic Devices
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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 39127260
BACKGROUND: Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data int...
Adult Aged Aorta Aortic Valve Bicuspid Aortic Valve Disease Blood Flow Velocity Case-Control Studies Datasets as Topic Deep Learning Female Hemodynamics Humans Image Interpretation, Computer-Assisted Male Middle Aged Neural Networks, Computer Perfusion Imaging Predictive Value of Tests Regional Blood Flow Reproducibility of Results Young Adult
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