AIMC Topic: Computed Tomography Angiography

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Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

The British journal of radiology Aug 12, 2020
The aim of this review is to provide an overview of different functional cardiac CT techniques which can be used to supplement assessment of the coronary arteries to establish the significance of coronary artery stenoses. We focus on cine-CT, CT-FFR,...
Vascular Calcification Computed Tomography Angiography Myocardial Perfusion Imaging Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Machine Learning Tomography, X-Ray Computed Ventricular Function, Left Stroke Volume Coronary Angiography Coronary Artery Disease Clinical Trials as Topic
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3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

Cardiovascular engineering and technology Aug 11, 2020
PURPOSE: The quantitative analysis of contrast-enhanced Computed Tomography Angiography (CTA) is essential to assess aortic anatomy, identify pathologies, and perform preoperative planning in vascular surgery. To overcome the limitations given by man...
Humans Retrospective Studies Female Aged Aortic Aneurysm, Abdominal Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Male Aorta, Abdominal Middle Aged Computed Tomography Angiography Aortography Deep Learning Imaging, Three-Dimensional Predictive Value of Tests
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Effect of vessel wall segmentation on volumetric and radiomic parameters of coronary plaques with adverse characteristics.

Journal of cardiovascular computed tomography Aug 10, 2020
BACKGROUND: Quantitative coronary plaque parameters are increasingly being utilized as surrogate endpoints of pharmaceutical trials. However, little is known whether differences in segmentation significantly alter parameter values.
Retrospective Studies Female Reproducibility of Results Aged Male Humans Machine Learning Vascular Calcification Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic Middle Aged Severity of Illness Index Clinical Competence Predictive Value of Tests Coronary Angiography
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Deep learning for cerebral angiography segmentation from non-contrast computed tomography.

PloS one Jul 31, 2020
Cerebral computed tomography angiography is a widely available imaging technique that helps in the diagnosis of vascular pathologies. Contrast administration is needed to accurately assess the arteries. On non-contrast computed tomography, arteries a...
Cerebral Angiography Male Deep Learning Image Processing, Computer-Assisted Contrast Media Computed Tomography Angiography Humans Brain Retrospective Studies Female
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Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction.

Korean journal of radiology Jul 17, 2020
OBJECTIVE: To assess the feasibility of applying a deep learning-based denoising technique to coronary CT angiography (CCTA) along with iterative reconstruction for additional noise reduction.
Humans Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Signal-To-Noise Ratio Computed Tomography Angiography
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The correlation of deep learning-based CAD-RADS evaluated by coronary computed tomography angiography with breast arterial calcification on mammography.

Scientific reports Jul 13, 2020
This study sought to evaluate the association of breast arterial calcification (BAC) on breast screening mammography with the Coronary Artery Disease-Reporting and Data System (CAD-RADS) based on Deep Learning-coronary computed tomography angiography...
Computed Tomography Angiography Middle Aged Deep Learning Early Detection of Cancer Mammography Coronary Angiography Heart Coronary Artery Disease Breast Data Systems Vascular Calcification Risk Factors Aged Aged, 80 and over Adult Breast Neoplasms Humans Female
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Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease Risk Assessment Heart Disease Risk Factors Severity of Illness Index Coronary Vessels Humans Predictive Value of Tests Plaque, Atherosclerotic Machine Learning Coronary Angiography Prognosis Vascular Calcification Computed Tomography Angiography
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From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Rupture, Spontaneous Reproducibility of Results Risk Assessment Severity of Illness Index Predictive Value of Tests Coronary Angiography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Humans Machine Learning Prognosis
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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...
Fractional Flow Reserve, Myocardial Predictive Value of Tests Coronary Angiography Coronary Artery Disease Disease Management Computed Tomography Angiography Humans Artificial Intelligence Machine Learning Retrospective Studies Female Male Middle Aged Severity of Illness Index Decision Making
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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...
Humans Heart Rate Machine Learning Natriuretic Peptide, Brain Intensive Care Units Fibrin Fibrinogen Degradation Products Female Computed Tomography Angiography Clinical Decision Rules Oxygen International Normalized Ratio Disease Progression Pulmonary Embolism Comorbidity Creatinine Case-Control Studies Hospitals, University Length of Stay Body Mass Index Aged Adult Asthma Male Middle Aged
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