AIMC Topic: Aortic Valve Stenosis

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Coronary artery disease evaluation during transcatheter aortic valve replacement work-up using photon-counting CT and artificial intelligence.

Diagnostic and interventional imaging Feb 16, 2024
PURPOSE: The purpose of this study was to evaluate the capabilities of photon-counting (PC) CT combined with artificial intelligence-derived coronary computed tomography angiography (PC-CCTA) stenosis quantification and fractional flow reserve predic...
Aged, 80 and over Male Middle Aged Retrospective Studies Female Aged Computed Tomography Angiography Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Coronary Angiography Coronary Artery Disease Humans Artificial Intelligence
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Machine Learning-Based Predictive Model of Aortic Valve Replacement Modality Selection in Severe Aortic Stenosis Patients.

Medical sciences (Basel, Switzerland) Dec 29, 2023
The current recommendation for bioprosthetic valve replacement in severe aortic stenosis (AS) is either surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement (TAVR). We evaluated the performance of a machine learning-base...
Aortic Valve Stenosis Aortic Valve Frailty Percutaneous Coronary Intervention Humans Retrospective Studies Machine Learning Adult Renal Insufficiency, Chronic
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Direct deep learning-based survival prediction from pre-interventional CT prior to transcatheter aortic valve replacement.

European journal of radiology Oct 11, 2023
PURPOSE: To investigate survival prediction in patients undergoing transcatheter aortic valve replacement (TAVR) using deep learning (DL) methods applied directly to pre-interventional CT images and to compare performance with survival models based o...
Risk Factors Aged Aged, 80 and over Retrospective Studies Tomography, X-Ray Computed Female Aortic Valve Stenosis Aortic Valve Transcatheter Aortic Valve Replacement Risk Assessment Deep Learning Treatment Outcome Humans
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Development and validation of a deep learning-based fully automated algorithm for pre-TAVR CT assessment of the aortic valvular complex and detection of anatomical risk factors: a retrospective, multicentre study.

EBioMedicine Sep 9, 2023
BACKGROUND: Pre-procedural computed tomography (CT) imaging assessment of the aortic valvular complex (AVC) is essential for the success of transcatheter aortic valve replacement (TAVR). However, pre-TAVR assessment is a time-intensive process, and t...
Treatment Outcome Aortic Valve Stenosis Aortic Valve Transcatheter Aortic Valve Replacement Retrospective Studies Tomography, X-Ray Computed Deep Learning Humans Algorithms
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CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 19, 2023
Aortic stenosis (AS) is the most prevalent heart valve disease in western countries that poses a significant public health challenge due to the lack of a medical treatment to prevent valve calcification. Given the aging population demographic, the pr...
Transcatheter Aortic Valve Replacement Aged Humans Deep Learning Aortic Valve Stenosis Risk Factors Treatment Outcome Aortic Valve Heart Valve Prosthesis Implantation
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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 Aug 12, 2023
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...
Wearable Electronic Devices Magnetic Resonance Imaging Aortic Valve Stenosis Aortic Valve Bicuspid Aortic Valve Disease Retrospective Studies Hemodynamics Deep Learning Humans
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A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning.

Computers in biology and medicine Jun 7, 2023
Accurate planning of transcatheter aortic valve implantation (TAVI) is important to minimize complications, and it requires anatomic evaluation of the aortic root (AR), commonly performed through 3D computed tomography (CT) image analysis. Currently,...
Humans Tomography, X-Ray Computed Deep Learning Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Aortic Valve Aorta, Thoracic
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Fully Automated Artificial Intelligence Assessment of Aortic Stenosis by Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Mar 22, 2023
BACKGROUND: Aortic stenosis (AS) is a common form of valvular heart disease, present in over 12% of the population age 75 years and above. Transthoracic echocardiography (TTE) is the first line of imaging in the adjudication of AS severity but is tim...
Aortic Valve Stenosis Aortic Valve Echocardiography, Doppler Aged Echocardiography Middle Aged Humans Artificial Intelligence
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Soft robotic patient-specific hydrodynamic model of aortic stenosis and ventricular remodeling.

Science robotics Feb 22, 2023
Aortic stenosis (AS) affects about 1.5 million people in the United States and is associated with a 5-year survival rate of 20% if untreated. In these patients, aortic valve replacement is performed to restore adequate hemodynamics and alleviate symp...
Humans Ventricular Remodeling Treatment Outcome United States Hydrodynamics Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Robotics
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Automated Detection of Aortic Stenosis Using Machine Learning.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Jan 11, 2023
BACKGROUND: Aortic stenosis (AS) is a degenerative valve condition that is underdiagnosed and undertreated. Detection of AS using limited two-dimensional echocardiography could enable screening and improve appropriate referral and treatment of this c...
Aortic Valve Stenosis Machine Learning Reproducibility of Results Echocardiography Humans Neural Networks, Computer
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