AIMC Topic: Aortic Valve

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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 Aug 8, 2024
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...
Deep Learning Aortic Valve Predictive Value of Tests Regional Blood Flow Datasets as Topic Blood Flow Velocity Aorta Image Interpretation, Computer-Assisted Bicuspid Aortic Valve Disease Male Middle Aged Case-Control Studies Humans Hemodynamics Neural Networks, Computer Reproducibility of Results Female Aged Young Adult Adult Perfusion Imaging
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Modeling of valve-in-valve transcatheter aortic valve implantation after aortic root replacement using a 3-dimensional artificial intelligence algorithm.

The Journal of thoracic and cardiovascular surgery Jun 29, 2024
OBJECTIVE: Aortic root replacement requires construction of a composite valve-graft and reimplantation of coronary arteries. This study assessed the feasibility of valve-in-valve transcatheter aortic valve implantation after aortic root replacement.
Female Aged Aged, 80 and over Male Imaging, Three-Dimensional Humans Artificial Intelligence Algorithms Retrospective Studies Heart Valve Prosthesis Computed Tomography Angiography Models, Cardiovascular Transcatheter Aortic Valve Replacement Bioprosthesis Treatment Outcome Aortic Valve Prosthesis Design Feasibility Studies
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Deep-learning survival analysis for patients with calcific aortic valve disease undergoing valve replacement.

Scientific reports May 13, 2024
Calcification of the aortic valve (CAVDS) is a major cause of aortic stenosis (AS) leading to loss of valve function which requires the substitution by surgical aortic valve replacement (SAVR) or transcatheter aortic valve intervention (TAVI). These ...
Risk Assessment Deep Learning Calcinosis Aortic Valve Stenosis Heart Valve Prosthesis Implantation Humans Aortic Valve Aged Proportional Hazards Models Female Survival Analysis Aged, 80 and over Transcatheter Aortic Valve Replacement Risk Factors Male Middle Aged
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Transcatheter Aortic Valve Replacement and Coronary Protection Guided by Deep Learning and 3-Dimensional Printing.

Surgical innovation Apr 2, 2024
OBJECTIVE: In this case report, the auxiliary role of deep learning and 3-dimensional printing technology in the perioperative period was discussed to guide transcatheter aortic valve replacement and coronary stent implantation simultaneously.
Aortic Valve Stenosis Aortic Valve Printing, Three-Dimensional Stents Aortic Valve Insufficiency Humans Aged Male Deep Learning Transcatheter Aortic Valve Replacement
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis Transcatheter Aortic Valve Replacement Radiographic Image Interpretation, Computer-Assisted Observer Variation Coronary Vessels False Positive Reactions Aged Aged, 80 and over Male Severity of Illness Index Aortic Valve Predictive Value of Tests Coronary Angiography Deep Learning Aortic Valve Stenosis Humans Retrospective Studies Female Reproducibility of Results
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A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement.

Cardiovascular revascularization medicine : including molecular interventions Mar 7, 2024
BACKGROUND: Transcatheter aortic valve replacement (TAVR) is increasingly performed for the treatment of aortic stenosis. Computed tomography (CT) analysis is essential for pre-procedural planning. Currently available software packages for TAVR plann...
Multidetector Computed Tomography Heart Valve Prosthesis Transcatheter Aortic Valve Replacement Software Validation Software Reproducibility of Results Aortic Valve Stenosis Aortic Valve Prosthesis Design Observer Variation Automation Humans Predictive Value of Tests Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted
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Deep learning for transesophageal echocardiography view classification.

Scientific reports Jan 2, 2024
Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of complex cardiac pathology and the management of cardiac surgery patients. A key limitation to the application of deep learning strategies to intraoperative and i...
Aortic Valve Cardiac Surgical Procedures Humans Echocardiography, Transesophageal Echocardiography Deep Learning
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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...
Humans Renal Insufficiency, Chronic Percutaneous Coronary Intervention Machine Learning Aortic Valve Stenosis Retrospective Studies Aortic Valve Adult Frailty
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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...
Transcatheter Aortic Valve Replacement Deep Learning Aged Humans Female Treatment Outcome Aged, 80 and over Retrospective Studies Aortic Valve Stenosis Risk Factors Risk Assessment Tomography, X-Ray Computed Aortic Valve
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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...
Humans Algorithms Aortic Valve Retrospective Studies Tomography, X-Ray Computed Transcatheter Aortic Valve Replacement Deep Learning Treatment Outcome Aortic Valve Stenosis
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