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Computed Tomography Angiography

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Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.

Therapeutic advances in cardiovascular disease 39625215
Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structures and vasculature considered comparable to invasive coronary angiography for the evaluation of coronary artery disease (CAD) in several major cardio...
Artificial Intelligence Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Humans Plaque, Atherosclerotic Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Severity of Illness Index
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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 39739189
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 ...
Aged Angina, Stable Computed Tomography Angiography Coronary Angiography Coronary Stenosis Female Fractional Flow Reserve, Myocardial Humans Machine Learning Male Middle Aged Myocardial Ischemia Retrospective Studies Severity of Illness Index
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Multi-Energy Evaluation of Image Quality in Spectral CT Pulmonary Angiography Using Different Strength Deep Learning Spectral Reconstructions.

Academic radiology 39732618
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...
Adult Aged Aged, 80 and over Computed Tomography Angiography Deep Learning Female Humans Male Middle Aged Pulmonary Artery Pulmonary Embolism Radiographic Image Interpretation, Computer-Assisted Radiography, Dual-Energy Scanned Projection Retrospective Studies Signal-To-Noise Ratio
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Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

The international journal of cardiovascular imaging 39680296
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Aged Artificial Intelligence Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Electrocardiography Female Humans Male Middle Aged Multidetector Computed Tomography Observer Variation Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Radiologists Reproducibility of Results Retrospective Studies Severity of Illness Index Time Factors Vascular Calcification Workflow
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Deep learning-assistance significantly increases the detection sensitivity of neurosurgery residents for intracranial aneurysms in subarachnoid hemorrhage.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia 39673838
OBJECTIVE: The purpose of this study was to evaluate the effectiveness of a deep learning model (DLM) in improving the sensitivity of neurosurgery residents to detect intracranial aneurysms on CT angiography (CTA) in patients with aneurysmal subarach...
Adult Aged Computed Tomography Angiography Deep Learning Female Humans Internship and Residency Intracranial Aneurysm Male Middle Aged Neurosurgery Sensitivity and Specificity Subarachnoid Hemorrhage
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Artificial Intelligence-Driven Assessment of Coronary Computed Tomography Angiography for Intermediate Stenosis: Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve.

The American journal of cardiology 39672486
We aimed to compare artificial intelligence (AI)-based coronary stenosis evaluation of coronary computed tomography angiography (CCTA) with its quantitative counterpart of invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR)...
Aged Artificial Intelligence Computed Tomography Angiography Coronary Angiography Coronary Stenosis Coronary Vessels Female Fractional Flow Reserve, Myocardial Humans Male Middle Aged Predictive Value of Tests Retrospective Studies Severity of Illness Index
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Assessment of the stability of intracranial aneurysms using a deep learning model based on computed tomography angiography.

La Radiologia medica 39666223
PURPOSE: Assessment of the stability of intracranial aneurysms is important in the clinic but remains challenging. The aim of this study was to construct a deep learning model (DLM) to identify unstable aneurysms on computed tomography angiography (C...
Adult Aged Aneurysm, Ruptured Computed Tomography Angiography Deep Learning Female Humans Intracranial Aneurysm Male Middle Aged Neural Networks, Computer Retrospective Studies Sensitivity and Specificity
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Machine learning-based radiomic features of perivascular adipose tissue in coronary computed tomography angiography predicting inflammation status around atherosclerotic plaque: a retrospective cohort study.

Annals of medicine 39665384
OBJECTIVES: This study expolored the relationship between perivascular adipose tissue (PVAT) radiomic features derived from coronary computed tomography angiography (CCTA) and the presence of coronary artery plaques. It aimed to determine whether PVA...
Adipose Tissue Aged Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Female Humans Inflammation Machine Learning Male Middle Aged Nomograms Plaque, Atherosclerotic Radiomics Retrospective Studies
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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 39794233
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...
Aged Aged, 80 and over Aortic Valve Aortic Valve Stenosis Artificial Intelligence Atrial Function, Left Automation Computed Tomography Angiography Coronary Angiography Female Humans Male Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Risk Assessment Risk Factors Severity of Illness Index Stroke Volume Time Factors Transcatheter Aortic Valve Replacement Treatment Outcome Ventricular Function, Left
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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 39792162
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...
Aged Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Stenosis Deep Learning Female Humans Male Middle Aged Observer Variation Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies
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