AIMC Topic: Aortic Valve Stenosis

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Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

Archives of osteoporosis Jul 17, 2025
UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (43%) of osteoporosis in CT scans obtained for planning of transcatheter aortic valve replacement. Thus, opportunistic screening may be a cost-effectiv...
Bone Density Osteoporosis Tomography, X-Ray Computed Female Humans Artificial Intelligence Algorithms Transcatheter Aortic Valve Replacement Aged Aged, 80 and over Male Aortic Valve Stenosis
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Aortic Stenosis and Mitral Regurgitation: Takeaways From the Heart Valve Collaboratory Workshop on Multivalvular Disease.

Journal of the American College of Cardiology Jun 27, 2025
The management of multivalvular disease presents increasing challenges in clinical practice caused by complex hemodynamic interactions and limited guideline-based recommendations. As part of the inaugural collaboration between JACC and the Heart Valv...
Humans Aortic Valve Stenosis Mitral Valve Insufficiency Transcatheter Aortic Valve Replacement
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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...
Aged Male Ventricular Function, Left Echocardiography Middle Aged Humans Prospective Studies Female Epicardial Adipose Tissue Ventricular Remodeling Asymptomatic Diseases Disease Progression Computed Tomography Angiography Severity of Illness Index Pericardium Aortic Valve Stenosis Adipose Tissue
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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...
Immunosenescence Humans Middle Aged Inflammation Female Aged Aortic Valve Stenosis Male Coronary Artery Disease 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)...
Humans Machine Learning Retrospective Studies Female Aged Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Predictive Value of Tests Aged, 80 and over Coronary Angiography Sensitivity and Specificity Coronary Artery Disease Male Computed Tomography Angiography Aortic Valve Stenosis
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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 ...
Aortic Valve Stenosis Heart Failure Transcatheter Aortic Valve Replacement Humans Male Prognosis Machine Learning Stroke Volume Female Biomarkers Risk Assessment Aged Cohort Studies 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 ...
Uncertainty Humans Neural Networks, Computer Echocardiography Severity of Illness Index Deep Learning Aortic Valve Stenosis Image Interpretation, Computer-Assisted
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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.
Image Interpretation, Computer-Assisted Automation Echocardiography, Doppler Blood Flow Velocity Hemodynamics Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Echocardiography, Three-Dimensional Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Stroke Volume Prevalence Severity of Illness Index Humans Machine Learning Female
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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 Aged, 80 and over Predictive Value of Tests Retrospective Studies Computed Tomography Angiography Male Radiographic Image Interpretation, Computer-Assisted Female Transcatheter Aortic Valve Replacement Deep Learning Reproducibility of Results Aortography
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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 ...
Aged, 80 and over Male Middle Aged Deep Learning Humans Retrospective Studies Female Coronary Angiography Aged Computed Tomography Angiography Contrast Media Calcinosis Aortic Valve Stenosis Aortic Valve
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