AIMC Topic: Coronary Artery Disease

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Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.

Journal of cardiovascular computed tomography Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Humans Middle Aged Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Retrospective Studies Female Reproducibility of Results Aged Male Vascular Calcification Phantoms, Imaging Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography
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Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

The international journal of cardiovascular imaging Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Running Athletes Coronary Vessels Asymptomatic Diseases Prospective Studies Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Humans Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Coronary Artery Disease
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Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiography.

Diagnostic and interventional imaging Oct 4, 2024
PURPOSE: The purpose of this study was to evaluate the diagnostic performance of automated deep learning in the detection of coronary artery disease (CAD) on photon-counting coronary CT angiography (PC-CCTA).
Humans Retrospective Studies Deep Learning Female Aged Coronary Angiography Sensitivity and Specificity Coronary Artery Disease Male Computed Tomography Angiography Middle Aged Photons
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Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.

Circulation. Cardiovascular imaging Sep 30, 2024
BACKGROUND: Plaque quantification from coronary computed tomography angiography has emerged as a valuable predictor of cardiovascular risk. Deep learning can provide automated quantification of coronary plaque from computed tomography angiography. We...
Age Factors Aged Myocardial Infarction Predictive Value of Tests Male Sex Factors Humans Coronary Angiography Middle Aged Coronary Vessels Prognosis Coronary Artery Disease Risk Assessment Plaque, Atherosclerotic Female Deep Learning Computed Tomography Angiography Risk Factors
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Predicting Individual Treatment Effects to Determine Duration of Dual Antiplatelet Therapy After Stent Implantation.

Journal of the American Heart Association Sep 30, 2024
BACKGROUND: After coronary stent implantation, prolonged dual antiplatelet therapy (DAPT) increases bleeding risk, requiring personalization of DAPT duration. The aim of this study was to develop and validate a machine learning model to predict optim...
Aged Male Middle Aged Platelet Aggregation Inhibitors Risk Assessment Humans Treatment Outcome Drug-Eluting Stents Machine Learning Time Factors Percutaneous Coronary Intervention Dual Anti-Platelet Therapy Female Coronary Artery Disease Risk Factors Hemorrhage Drug Administration Schedule
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AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation.

International journal of cardiology Sep 26, 2024
BACKGROUND: Quantitative coronary angiography (QCA) typically employs traditional edge detection algorithms that often require manual correction. This has important implications for the accuracy of downstream 3D coronary reconstructions and computed ...
Coronary Artery Disease Coronary Vessels Fractional Flow Reserve, Myocardial Male Middle Aged Deep Learning Humans Coronary Angiography Female
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Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients' electrocardiograms.

Cell reports. Medicine Sep 25, 2024
We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emission tomography (PET...
Prognosis Humans ROC Curve Female Machine Learning Electrocardiography Coronary Circulation Aged Coronary Artery Disease Male Positron-Emission Tomography Middle Aged Tomography, Emission-Computed, Single-Photon
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Exploration of fractional flow reservation score based on artificial intelligence post-processing for coronary artery lesions in patients with diabetes and coronary heart disease.

SLAS technology Sep 21, 2024
In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reservation (FFR) in patients with different levels of CHD and diabetes, this paper used AI (artificial intelligence) post-processing technology to detect ...
Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Coronary Artery Disease Coronary Vessels Coronary Disease Computed Tomography Angiography Humans Male Artificial Intelligence Middle Aged Female Image Processing, Computer-Assisted Aged Diabetes Mellitus
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Enhanced Plaque Stabilization Effects of Alirocumab　- Insights From Artificial Intelligence-Aided Optical Coherence Tomography Analysis of the Alirocumab for Thin-Cap Fibroatheroma in Patients With Coronary Artery Disease Estimated by Optical Coherence Tomography (ALTAIR) Study.

Circulation journal : official journal of the Japanese Circulation Society Sep 21, 2024
BACKGROUND: Proprotein convertase subtilisin/kexin type 9 inhibitors stabilize vulnerable plaque, reducing cardiovascular events. However, manual optical coherence tomography (OCT) analysis of drug efficacy is challenging because of signal attenuatio...
Tomography, Optical Coherence Female Humans Coronary Artery Disease Aged PCSK9 Inhibitors Drug Therapy, Combination Artificial Intelligence Male Plaque, Atherosclerotic Prospective Studies Middle Aged Rosuvastatin Calcium Antibodies, Monoclonal, Humanized
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Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography.

European radiology Sep 19, 2024
OBJECTIVE: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed utilizing high-strength deep learning image reconstructions (DLIR-H) compared to standard adaptive statistical iterative reconstruction (ASiR-V) proto...
Coronary Artery Disease Feasibility Studies Radiation Dosage Computed Tomography Angiography Deep Learning Contrast Media Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Prospective Studies Female Aged Male Middle Aged
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