AIMC Topic: Computed Tomography Angiography

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Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study.

European radiology Jan 10, 2025
OBJECTIVES: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagno...
Computed Tomography Angiography Coronary Stenosis Reproducibility of Results Aged Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Deep Learning Coronary Angiography Humans Retrospective Studies Female
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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography Jan 9, 2025
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Transcatheter Aortic Valve Replacement Humans Stroke Volume Radiographic Image Interpretation, Computer-Assisted Risk Assessment Aged Severity of Illness Index Automation Artificial Intelligence Aortic Valve Time Factors Retrospective Studies Predictive Value of Tests Treatment Outcome Female Atrial Function, Left Aged, 80 and over Coronary Angiography Aortic Valve Stenosis Risk Factors Computed Tomography Angiography Male Ventricular Function, Left
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Segmentation and Vascular Vectorization for Coronary Artery by Geometry-Based Cascaded Neural Network.

IEEE transactions on medical imaging Jan 2, 2025
Segmentation of the coronary artery is an important task for the quantitative analysis of coronary computed tomography angiography (CCTA) images and is being stimulated by the field of deep learning. However, the complex structures with tiny and narr...
Algorithms Image Processing, Computer-Assisted Coronary Angiography Coronary Vessels Humans Neural Networks, Computer Computed Tomography Angiography
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Clinical Validation of a Deep Learning Algorithm for Automated Coronary Artery Disease Detection and Classification Using a Heterogeneous Multivendor Coronary Computed Tomography Angiography Data Set.

Journal of thoracic imaging Jan 1, 2025
PURPOSE: We sought to clinically validate a fully automated deep learning (DL) algorithm for coronary artery disease (CAD) detection and classification in a heterogeneous multivendor cardiac computed tomography angiography data set.
Female Reproducibility of Results Aged Adult Sensitivity and Specificity Humans Algorithms Retrospective Studies Coronary Artery Disease Computed Tomography Angiography Male Middle Aged Deep Learning Coronary Angiography
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Implementing an AI algorithm in the clinical setting: a case study for the accuracy paradox.

European radiology Dec 31, 2024
OBJECTIVES: We report our experience implementing an algorithm for the detection of large vessel occlusion (LVO) for suspected stroke in the emergency setting, including its performance, and offer an explanation as to why it was poorly received by ra...
Stroke Computed Tomography Angiography Algorithms Retrospective Studies Female Aged Middle Aged Humans Emergency Service, Hospital Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Male
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Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography.

Physical and engineering sciences in medicine Dec 30, 2024
This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This single-center ...
Coronary Stenosis Humans Machine Learning Fractional Flow Reserve, Myocardial Coronary Angiography Male Female Retrospective Studies Myocardial Ischemia Middle Aged Aged Angina, Stable Severity of Illness Index Computed Tomography Angiography
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Multi-Energy Evaluation of Image Quality in Spectral CT Pulmonary Angiography Using Different Strength Deep Learning Spectral Reconstructions.

Academic radiology Dec 27, 2024
RATIONALE AND OBJECTIVES: To evaluate and compare image quality of different energy levels of virtual monochromatic images (VMIs) using standard versus strong deep learning spectral reconstruction (DLSR) on dual-energy CT pulmonary angiogram (DECT-PA...
Signal-To-Noise Ratio Computed Tomography Angiography Pulmonary Artery Radiography, Dual-Energy Scanned Projection Humans Retrospective Studies Male Female Deep Learning Middle Aged Aged Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Pulmonary Embolism Adult
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Diagnosis of intracranial aneurysms by computed tomography angiography using deep learning-based detection and segmentation.

Journal of neurointerventional surgery Dec 26, 2024
BACKGROUND: Detecting and segmenting intracranial aneurysms (IAs) from angiographic images is a laborious task.
Adult Male Middle Aged Deep Learning Cerebral Angiography Intracranial Aneurysm Angiography, Digital Subtraction Computed Tomography Angiography Humans Retrospective Studies Female Aged
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Deep learning model for low-dose CT late iodine enhancement imaging and extracellular volume quantification.

European radiology Dec 20, 2024
OBJECTIVES: To develop and validate deep learning (DL)-models that denoise late iodine enhancement (LIE) images and enable accurate extracellular volume (ECV) quantification.
Tomography, X-Ray Computed Female Aged Male Middle Aged Radiation Dosage Humans Deep Learning Signal-To-Noise Ratio Computed Tomography Angiography Retrospective Studies Iodine Myocardial Perfusion Imaging Contrast Media Radiographic Image Enhancement Radiographic Image Interpretation, Computer-Assisted
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Quantitative analysis of deep learning reconstruction in CT angiography: Enhancing CNR and reducing dose.

Journal of X-ray science and technology Dec 18, 2024
BACKGROUND: Computed tomography angiography (CTA) provides significant information on image quality in vascular imaging, thus offering high-resolution images despite having the disadvantages of increased radiation doses and contrast agent-related sid...
Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Humans Radiation Dosage Deep Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted Phantoms, Imaging Contrast Media
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