AIMC Topic: Aortic Valve Stenosis

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Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Ventricular Function, Left Echocardiography Middle Aged Risk Assessment Disease Progression Female Reproducibility of Results Risk Factors Aged Male Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Ventricular Dysfunction, Left Diastole Sclerosis Humans Severity of Illness Index Prognosis Deep Learning Time Factors United States Calcinosis
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Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Adverse outcomes from moderate aortic stenosis (AS) may be caused by progression to severe AS or by the effects of comorbidities. In the absence of randomized trial evidence favoring aortic valve replacement (AVR) in patients with moderat...
Humans Phenotype Comorbidity Severity of Illness Index Time Factors Cluster Analysis Aortic Valve Stenosis Aged, 80 and over Aortic Valve Heart Failure Prognosis Male Unsupervised Machine Learning Female Echocardiography Predictive Value of Tests Reproducibility of Results Middle Aged Risk Factors Risk Assessment Aged
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Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis.

Clinical nutrition ESPEN Jun 17, 2024
BACKGROUND & AIMS: Accurate diagnosis of sarcopenia requires evaluation of muscle quality, which refers to the amount of fat infiltration in muscle tissue. In this study, we aim to investigate whether we can independently predict mortality risk in tr...
Sarcopenia Muscle, Skeletal Adipose Tissue Predictive Value of Tests Transcatheter Aortic Valve Replacement Humans Retrospective Studies Tomography, X-Ray Computed Female Risk Factors Aged Aged, 80 and over Male Deep Learning Aortic Valve Stenosis
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Machine Learning of Cardiac Anatomy and the Risk of New-Onset Atrial Fibrillation After TAVR.

JACC. Clinical electrophysiology Jun 5, 2024
BACKGROUND: New-onset atrial fibrillation (NOAF) occurs in 5% to 15% of patients who undergo transfemoral transcatheter aortic valve replacement (TAVR). Cardiac imaging has been underutilized to predict NOAF following TAVR.
Humans Machine Learning Tomography, X-Ray Computed Female Risk Factors Aortic Valve Stenosis Atrial Fibrillation Heart Atria Transcatheter Aortic Valve Replacement Aged Aged, 80 and over Male Echocardiography Postoperative Complications
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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 ...
Humans Aortic Valve Middle Aged Female Survival Analysis Risk Assessment Heart Valve Prosthesis Implantation Risk Factors Deep Learning Proportional Hazards Models Aged Calcinosis Transcatheter Aortic Valve Replacement Aged, 80 and over Aortic Valve Stenosis Male
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Predictors of Disease Progression and Adverse Clinical Outcomes in Patients With Moderate Aortic Stenosis Using an Artificial Intelligence-Based Software Platform.

The American journal of cardiology May 6, 2024
Patients with moderate aortic stenosis (AS) have a greater risk of adverse clinical outcomes than that of the general population. How this risk compares with those with severe AS, along with factors associated with outcomes and disease progression, i...
Severity of Illness Index Aortic Valve Stenosis Heart Failure Atrial Fibrillation Aged Proportional Hazards Models Prognosis Aged, 80 and over Retrospective Studies Male Humans Female Echocardiography Artificial Intelligence Disease Progression Software
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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.
Aged Male Deep Learning Aortic Valve Stenosis Aortic Valve Printing, Three-Dimensional Stents Aortic Valve Insufficiency Transcatheter Aortic Valve Replacement Humans
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Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.

Academic radiology Mar 11, 2024
RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation ...
Coronary Angiography Aged, 80 and over Humans Radiographic Image Interpretation, Computer-Assisted Male Radiation Dosage Prospective Studies Deep Learning Transcatheter Aortic Valve Replacement Tomography, X-Ray Computed Contrast Media Female Aortic Valve Stenosis Aged
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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 Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Observer Variation Male Humans Coronary Vessels Severity of Illness Index False Positive Reactions Deep Learning Retrospective Studies Aortic Valve Stenosis Female Aortic Valve Reproducibility of Results Predictive Value of Tests Aged Aged, 80 and over
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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 Humans Heart Valve Prosthesis Artificial Intelligence Transcatheter Aortic Valve Replacement Predictive Value of Tests Software Software Validation Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Aortic Valve Stenosis Prosthesis Design Aortic Valve Observer Variation Automation
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