Computed Tomography Angiography

Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.

European radiology May 28, 2020

OBJECTIVES: This study investigated the impact of machine learning (ML)-based fractional flow reserve derived from computed tomography (FFR) compared to invasive coronary angiography (ICA) for therapeutic decision-making and patient outcome in patien...

Humans Artificial Intelligence Machine Learning Retrospective Studies Female Coronary Angiography Coronary Artery Disease Disease Management Computed Tomography Angiography Fractional Flow Reserve, Myocardial Male Middle Aged Severity of Illness Index Decision Making Predictive Value of Tests

View on PubMed DOI

Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.

Lung May 18, 2020

PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...

Heart Rate Natriuretic Peptide, Brain Fibrin Fibrinogen Degradation Products Computed Tomography Angiography Clinical Decision Rules Disease Progression Comorbidity Case-Control Studies Oxygen Aged Humans Length of Stay International Normalized Ratio Adult Body Mass Index Pulmonary Embolism Machine Learning Asthma Creatinine Intensive Care Units Male Hospitals, University Female Middle Aged

View on PubMed DOI

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

PloS one May 6, 2020

OBJECTIVES: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation.

Coronary Vessels Middle Aged Computed Tomography Angiography Humans Deep Learning Heart Female Heart Ventricles Aged Heart Atria Male

View on PubMed DOI

Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study.

European radiology Apr 29, 2020

OBJECTIVES: To build models based on conventional logistic regression (LR) and machine learning (ML) algorithms combining clinical, morphological, and hemodynamic information to predict individual rupture status of unruptured intracranial aneurysms (...

Computed Tomography Angiography Cerebral Angiography Aneurysm, Ruptured Intracranial Aneurysm Clinical Decision Rules Young Adult Adult Male Middle Aged Hemodynamics China Adolescent Logistic Models Retrospective Studies Support Vector Machine Area Under Curve Tomography, X-Ray Computed Female Humans Aged Aged, 80 and over Neural Networks, Computer Machine Learning Computer Simulation

View on PubMed DOI

Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 27, 2020

We propose a fully automated algorithm based on a deep learning framework enabling screening of a coronary computed tomography angiography (CCTA) examination for confident detection of the presence or absence of coronary artery atherosclerosis. The s...

Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Humans Neural Networks, Computer Imaging, Three-Dimensional

View on PubMed DOI

Machine learning volumetry of ischemic brain lesions on CT after thrombectomy-prospective diagnostic accuracy study in ischemic stroke patients.

Neuroradiology Apr 22, 2020

PURPOSE: Ischemic lesion volume (ILV) is an important radiological predictor of functional outcome in patients with anterior circulation stroke. Our aim was to assess the agreement between automated ILV measurements on NCCT using the Brainomix softwa...

Software Cerebral Angiography Prospective Studies Diffusion Magnetic Resonance Imaging Female Humans Aged Male Sensitivity and Specificity Machine Learning Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Thrombectomy Computed Tomography Angiography

View on PubMed DOI

Diagnostic performance of deep learning-based vascular extraction and stenosis detection technique for coronary artery disease.

The British journal of radiology Mar 25, 2020

OBJECTIVE: To investigate the diagnostic performance of deep learning (DL)-based vascular extraction and stenosis detection technology in assessing coronary artery disease (CAD).

Humans Retrospective Studies Female Aged Sensitivity and Specificity Coronary Angiography Coronary Artery Disease Angiography, Digital Subtraction Computed Tomography Angiography Coronary Stenosis Male Middle Aged Deep Learning ROC Curve Predictive Value of Tests

View on PubMed DOI

Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.

European radiology Mar 12, 2020

OBJECTIVE: To determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in patients with obstructive coronary artery disease (CAD) on CCTA.

Hemodynamics Cohort Studies Coronary Angiography Percutaneous Coronary Intervention Disease Management Coronary Artery Disease Tomography, X-Ray Computed Cardiac Catheterization Female Computed Tomography Angiography Aged Humans Coronary Stenosis Male Machine Learning Fractional Flow Reserve, Myocardial Middle Aged Retrospective Studies

View on PubMed DOI

The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020

To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...

Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Fractional Flow Reserve, Myocardial Humans Coronary Vessels Machine Learning Predictive Value of Tests Retrospective Studies Plaque, Atherosclerotic Coronary Angiography Female Vascular Calcification Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Coronary Artery Disease Coronary Stenosis Observer Variation

View on PubMed DOI

Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.

Medical physics Feb 29, 2020

PURPOSE: Segmentation of left ventricular myocardium (LVM) in coronary computed tomography angiography (CCTA) is important for diagnosis of cardiovascular diseases. Due to poor image contrast and large variation in intensity and shapes, LVM segmentat...

Humans Imaging, Three-Dimensional Tomography, X-Ray Computed Heart Ventricles Deep Learning Supervised Machine Learning Automation Computed Tomography Angiography

View on PubMed DOI

AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.

Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study.

Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network.

Machine learning volumetry of ischemic brain lesions on CT after thrombectomy-prospective diagnostic accuracy study in ischemic stroke patients.

Diagnostic performance of deep learning-based vascular extraction and stenosis detection technique for coronary artery disease.

Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.

The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.

Popular Topics

Recent Journals