AIMC Topic: Aortic Valve Stenosis

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Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.

Heart (British Cardiac Society) Jun 26, 2025
BACKGROUND: Epicardial adipose tissue represents a metabolically active visceral fat depot that is in direct contact with the left ventricular myocardium. While it is associated with coronary artery disease, little is known regarding its role in aort...
Adipose Tissue Ventricular Remodeling Asymptomatic Diseases Computed Tomography Angiography Pericardium Middle Aged Disease Progression Severity of Illness Index Aortic Valve Stenosis Female Epicardial Adipose Tissue Humans Aged Prospective Studies Male Ventricular Function, Left Echocardiography
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Divergent Immune Pathways in Coronary Artery Disease and Aortic Stenosis: The Role of Chronic Inflammation and Senescence.

International journal of molecular sciences May 29, 2025
Coronary artery disease (CAD) remains a major cause of cardiovascular morbidity and mortality, with growing evidence linking immune dysregulation to its pathogenesis. Aortic stenosis often coexists with CAD (ASCAD), representing an advanced disease f...
Inflammation Aortic Valve Stenosis Coronary Artery Disease Immunosenescence Female Aged Male Middle Aged Humans Cytokines Biomarkers
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Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

BMC medical imaging May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Sensitivity and Specificity Male Aortic Valve Stenosis Predictive Value of Tests Retrospective Studies Female Aged Aged, 80 and over Humans Machine Learning
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Multimodal Visualization and Explainable Machine Learning-Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study.

Journal of medical Internet research May 1, 2025
BACKGROUND: Currently, there is a paucity of literature addressing personalized risk stratification using multimodal data in patients with symptomatic aortic stenosis and heart failure with preserved ejection fraction (HFpEF) following transcatheter ...
Male Biomarkers Stroke Volume Prognosis Aortic Valve Stenosis Risk Assessment Female Humans Cohort Studies Heart Failure Aged Machine Learning Transcatheter Aortic Valve Replacement Aged, 80 and over
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ProtoASNet: Comprehensive evaluation and enhanced performance with uncertainty estimation for aortic stenosis classification in echocardiography.

Medical image analysis Apr 24, 2025
Aortic stenosis (AS) is a prevalent heart valve disease that requires accurate and timely diagnosis for effective treatment. Current methods for automated AS severity classification rely on black-box deep learning techniques, which suffer from a low ...
Severity of Illness Index Deep Learning Aortic Valve Stenosis Image Interpretation, Computer-Assisted Humans Uncertainty Neural Networks, Computer Echocardiography
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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Humans Aged, 80 and over Male Ventricular Function, Left Stroke Volume Prevalence Machine Learning Female Reproducibility of Results Aged Blood Flow Velocity Echocardiography, Three-Dimensional Predictive Value of Tests Image Interpretation, Computer-Assisted Severity of Illness Index Automation Hemodynamics Echocardiography, Doppler Aortic Valve Stenosis Aortic Valve
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Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement.

Therapeutic advances in cardiovascular disease Mar 24, 2025
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the segmentation results from the Cvpilot, 3mensio, and Volume Viewer systems to explore the practicability of the Cvpilot system in the automatic segmentat...
Aortic Valve Stenosis Aged Multidetector Computed Tomography Aortic Valve Humans Computed Tomography Angiography Aged, 80 and over Retrospective Studies Predictive Value of Tests Transcatheter Aortic Valve Replacement Male Female Radiographic Image Interpretation, Computer-Assisted Aortography Deep Learning Reproducibility of Results
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Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Scientific reports Mar 12, 2025
Quantifying aortic valve calcification is critical for assessing the severity of aortic stenosis, predicting cardiovascular risk, and guiding treatment decisions. This study evaluated the feasibility of a deep learning-based automatic quantification ...
Aortic Valve Coronary Angiography Female Computed Tomography Angiography Aged Deep Learning Humans Aged, 80 and over Contrast Media Retrospective Studies Calcinosis Male Aortic Valve Stenosis Middle Aged
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Clinical value of aortic arch morphology in transfemoral TAVR: artificial intelligence evaluation.

International journal of surgery (London, England) Mar 1, 2025
BACKGROUND: The impact of aortic arch (AA) morphology on the management of the procedural details and the clinical outcomes of the transfemoral artery (TF)-transcatheter aortic valve replacement (TAVR) has not been evaluated. The goal of this study w...
Artificial Intelligence Retrospective Studies Female Aged Aged, 80 and over Humans Femoral Artery Male Treatment Outcome Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Aorta, Thoracic
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An Integrative Machine Learning Model for Predicting Early Safety Outcomes in Patients Undergoing Transcatheter Aortic Valve Implantation.

Medicina (Kaunas, Lithuania) Feb 21, 2025
: Early safety outcomes following transcatheter aortic valve implantation (TAVI) for severe aortic stenosis are critical for patient prognosis. Accurate prediction of adverse events can enhance patient management and improve outcomes. : This study ai...
Aged Aged, 80 and over Male Postoperative Complications Treatment Outcome Humans Machine Learning Aortic Valve Stenosis Prognosis Transcatheter Aortic Valve Replacement Retrospective Studies Female
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