AIMC Topic: Aortic Valve Stenosis

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Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery Sep 14, 2017
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...
Diagnosis, Computer-Assisted Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Aged Adult Cross-Sectional Studies Male Middle Aged Computed Tomography Angiography Aortic Aneurysm Aortography Sinus of Valsalva Aortic Valve Insufficiency Bicuspid Aortic Valve Disease Heart Valve Diseases Pattern Recognition, Automated Aorta, Thoracic Humans Machine Learning Phenotype Female Reproducibility of Results
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Antiphospholipid Antibodies and Heart Valve Disease in Systemic Lupus Erythematosus.

The American journal of the medical sciences Jul 20, 2017
Evaluation of antiphospholipid antibodies (aPL) and correlation with heart valve abnormalities among patients with systemic lupus erythematosus (SLE). Nested case-control study was conducted with 70 patients with SLE selected from a longitudinal data...
Logistic Models Male Humans Mitral Valve Stenosis Echocardiography Female Aortic Valve Stenosis Tricuspid Valve Insufficiency Middle Aged Young Adult Lupus Erythematosus, Systemic Case-Control Studies Adult Mitral Valve Insufficiency Adolescent Aortic Valve Insufficiency Heart Valve Diseases Multivariate Analysis Odds Ratio Heart Valve Prosthesis Antibodies, Antiphospholipid
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Robotic transcatheter aortic valve replacement with magnetic resonance imaging is feasible in animal models, but is it feasible in patients?

The Journal of thoracic and cardiovascular surgery Jan 7, 2016
Heart Valve Prosthesis Implantation Models, Animal Heart Valve Prosthesis Cardiac Catheterization Transcatheter Aortic Valve Replacement Treatment Outcome Magnetic Resonance Imaging Aortic Valve Stenosis Aortic Valve Robotics Humans Animals
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Relation of Aortic Valve Morphologic Characteristics to Aortic Valve Insufficiency and Residual Stenosis in Children With Congenital Aortic Stenosis Undergoing Balloon Valvuloplasty.

The American journal of cardiology Dec 31, 2015
Aortic valve morphology has been invoked as intrinsic to outcomes of balloon aortic valvuloplasty (BAV) for congenital aortic valve stenosis. We sought to use aortic valve morphologic features to discriminate between valves that respond favorably or ...
Ultrasonography Treatment Outcome Aortic Valve Stenosis Aortic Valve Balloon Valvuloplasty Aortic Valve Insufficiency Humans Georgia Infant, Newborn Infant
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A novel method for discrimination between innocent and pathological heart murmurs.

Medical engineering & physics May 21, 2015
This paper presents a novel method for discrimination between innocent and pathological murmurs using the growing time support vector machine (GTSVM). The proposed method is tailored for characterizing innocent murmurs (IM) by putting more emphasis o...
Heart Murmurs Phonocardiography Sensitivity and Specificity Middle Aged Infant Humans Severity of Illness Index Databases, Factual Adolescent Child, Preschool Aged Child Aged, 80 and over Support Vector Machine Aortic Valve Stenosis Wavelet Analysis
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Comparative analysis of pre-transcatheter aortic valve implantation CTA protocols: Optimizing radiation dose and contrast volume.

International journal of cardiology Oct 15, 2025
BACKGROUND: To establish the most effective and safe pre-transcatheter aortic valve implantation (TAVI) CT angiography (CTA) protocol by comparing two approaches in terms of image quality, radiation and contrast dose.
Contrast Media Aortic Valve Stenosis Radiation Dosage Computed Tomography Angiography Transcatheter Aortic Valve Replacement Humans Prospective Studies Female Aged Aged, 80 and over Male
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Transcatheter aortic valve implantation (TAVI) planning CT on 8-cm detector scanners: Proper dose control by combined use of two deep-learning reconstruction algorithms.

Journal of applied clinical medical physics Sep 1, 2025
PURPOSE: To explore the feasibility of transcatheter aortic valve implantation (TAVI) planning computed tomography (CT) on single-source 8-cm detector scanners with proper dose control by using two deep-learning reconstruction algorithms.
Humans Algorithms Tomography, X-Ray Computed Female Aged Aged, 80 and over Radiotherapy Planning, Computer-Assisted Male Radiation Dosage Deep Learning Radiotherapy, Intensity-Modulated Image Processing, Computer-Assisted Computed Tomography Angiography Aortic Valve Stenosis Transcatheter Aortic Valve Replacement
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Deep Learning-Based Fully Automated Aortic Valve Leaflets and Root Measurement From Computed Tomography Images　- A Feasibility Study.

Circulation journal : official journal of the Japanese Circulation Society Aug 25, 2025
BACKGROUND: The aim of this study was to retrain our existing deep learning-based fully automated aortic valve leaflets/root measurement algorithm, using computed tomography (CT) data for root dilatation (RD), and assess its clinical feasibility.
Humans Aortic Valve Stenosis Aged Aortic Valve Algorithms Aged, 80 and over Feasibility Studies Retrospective Studies Male Aortic Valve Insufficiency Tomography, X-Ray Computed Middle Aged Female Deep Learning
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AI-based prediction of left bundle branch block risk post-TAVI using pre-implantation clinical parameters.

Future cardiology Jun 1, 2025
BACKGROUND AND AIMS: Transcatheter Aortic Valve Implantation (TAVI) has revolutionized the treatment of severe aortic stenosis. Although its clinical efficacy is well established, the development of new-onset left bundle branch block (LBBB) following...
Humans Machine Learning Algorithms Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Bundle-Branch Block Risk Assessment Postoperative Complications Electrocardiography Aortic Valve Stenosis Transcatheter Aortic Valve Replacement
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Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach.

BMC cardiovascular disorders May 10, 2025
BACKGROUND: Post-operative moderate-to-severe mitral regurgitation (MR) following transcatheter aortic valve replacement (TAVR) is associated with poor outcomes, yet the factors contributing to this complication are not well understood. This study ai...
Transcatheter Aortic Valve Replacement Treatment Outcome Aortic Valve Stenosis Predictive Value of Tests Mitral Valve Mitral Valve Insufficiency Retrospective Studies Male Risk Assessment Female Severity of Illness Index Risk Factors Humans Time Factors Aged Machine Learning Aged, 80 and over Decision Support Techniques
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