AIMC Topic: Computed Tomography Angiography

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Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT.

Academic radiology Oct 10, 2024
RATIONALE AND OBJECTIVES: Coronary CT angiography (CCTA) is mandatory before transcatheter aortic valve replacement (TAVR). Our objective was to evaluate the efficacy of artificial intelligence (AI)-powered software in automatically analyzing cardiac...
Computed Tomography Angiography Transcatheter Aortic Valve Replacement Humans Artificial Intelligence Retrospective Studies Female Aged Aged, 80 and over Male Aortic Valve Stenosis Coronary Angiography
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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...
Computed Tomography Angiography Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography Vascular Calcification Phantoms, Imaging Female Reproducibility of Results Aged Male Middle Aged Humans Retrospective Studies
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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...
Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Humans Artificial Intelligence Prospective Studies Reproducibility of Results Coronary Vessels Asymptomatic Diseases Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Running Athletes
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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).
Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Photons Humans Retrospective Studies Aged Female Sensitivity and Specificity Male Middle Aged Deep Learning
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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 Predictive Value of Tests Sex Factors Coronary Angiography Aged Humans Coronary Vessels Male Prognosis Plaque, Atherosclerotic Middle Aged Female Computed Tomography Angiography Risk Assessment Risk Factors Deep Learning Coronary Artery Disease Myocardial Infarction
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Prediction of short-term adverse clinical outcomes of acute pulmonary embolism using conventional machine learning and deep Learning based on CTPA images.

Journal of thrombosis and thrombolysis Sep 28, 2024
To explore the predictive value of traditional machine learning (ML) and deep learning (DL) algorithms based on computed tomography pulmonary angiography (CTPA) images for short-term adverse outcomes in patients with acute pulmonary embolism (APE). T...
Acute Disease Pulmonary Embolism Computed Tomography Angiography Prognosis Humans Male Retrospective Studies Machine Learning Middle Aged Female Deep Learning Risk Factors ROC Curve Aged Predictive Value of Tests
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Label refinement network from synthetic error augmentation for medical image segmentation.

Medical image analysis Sep 27, 2024
Deep convolutional neural networks for image segmentation do not learn the label structure explicitly and may produce segmentations with an incorrect structure, e.g., with disconnected cylindrical structures in the segmentation of tree-like structure...
Image Processing, Computer-Assisted Radiography, Thoracic Computed Tomography Angiography Neural Networks, Computer Humans Algorithms Brain Tomography, X-Ray Computed Imaging, Three-Dimensional
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Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.

The international journal of cardiovascular imaging Sep 25, 2024
Transesophageal echocardiography (TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrast and slow LAA blood...
Risk Factors Computed Tomography Angiography Aged Machine Learning Risk Assessment Atrial Appendage Humans Decision Support Techniques Radiomics Nomograms Retrospective Studies Male Predictive Value of Tests Coronary Angiography Female Middle Aged Anticoagulants Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Blood Coagulation Atrial Fibrillation Thrombophilia Multidetector Computed Tomography
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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 Aged Male Middle Aged Image Processing, Computer-Assisted Coronary Angiography Humans Diabetes Mellitus Coronary Artery Disease Artificial Intelligence Coronary Vessels Female Coronary Disease Computed Tomography Angiography
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Effect of Deep Learning Image Reconstruction on Image Quality and Pericoronary Fat Attenuation Index.

Journal of imaging informatics in medicine Sep 19, 2024
To compare the image quality and fat attenuation index (FAI) of coronary artery CT angiography (CCTA) under different tube voltages between deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction V (ASIR-V). Three ...
Algorithms Prospective Studies Female Aged Adult Humans Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Computed Tomography Angiography Male Epicardial Adipose Tissue Middle Aged Deep Learning Image Processing, Computer-Assisted Adipose Tissue
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