AIMC Topic: Coronary Artery Disease

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AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CAC) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis.

Journal of cardiovascular computed tomography Apr 24, 2024
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC score that is not currently reported. We recently reported that artificial intelligence (AI)-enabled cardiac chambers volumetry in CAC scans (AI-CAC™...
Asymptomatic Diseases Computed Tomography Angiography Humans Artificial Intelligence Biomarkers Prognosis Female Male Middle Aged Risk Assessment Reproducibility of Results Incidence Risk Factors Time Factors Aged Aged, 80 and over Coronary Artery Disease Heart Failure Natriuretic Peptide, Brain Multidetector Computed Tomography Vascular Calcification United States Predictive Value of Tests Coronary Angiography Peptide Fragments Radiographic Image Interpretation, Computer-Assisted
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DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR.

Atherosclerosis Apr 18, 2024
BACKGROUND AND AIMS: This study investigated the additional prognostic value of epicardial adipose tissue (EAT) volume for major adverse cardiovascular events (MACE) in patients undergoing stress cardiac magnetic resonance (CMR) imaging.
Humans Prognosis Retrospective Studies Female Reproducibility of Results Risk Factors Coronary Artery Disease Risk Assessment Myocardial Infarction Deep Learning Pericardium Magnetic Resonance Imaging Aged Magnetic Resonance Imaging, Cine Adipose Tissue Male Epicardial Adipose Tissue Predictive Value of Tests Ventricular Function, Left Stroke Volume Middle Aged
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A comparative analysis of deep learning-based location-adaptive threshold method software against other commercially available software.

The international journal of cardiovascular imaging Apr 18, 2024
Automatic segmentation of the coronary artery using coronary computed tomography angiography (CCTA) images can facilitate several analyses related to coronary artery disease (CAD). Accurate segmentation of the lumen or plaque region is one of the mos...
Female Reproducibility of Results Aged Male Middle Aged Humans Software Retrospective Studies Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Deep Learning Predictive Value of Tests Coronary Angiography Ultrasonography, Interventional Radiographic Image Interpretation, Computer-Assisted
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Assessment of atherosclerotic plaque burden: comparison of AI-QCT versus SIS, CAC, visual and CAD-RADS stenosis categories.

The international journal of cardiovascular imaging Apr 17, 2024
This study assesses the agreement of Artificial Intelligence-Quantitative Computed Tomography (AI-QCT) with qualitative approaches to atherosclerotic disease burden codified in the multisociety 2022 CAD-RADS 2.0 Expert Consensus. 105 patients who und...
Humans Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Artificial Intelligence Male Vascular Calcification Female Middle Aged Computed Tomography Angiography Reproducibility of Results Severity of Illness Index Coronary Stenosis Aged Predictive Value of Tests Coronary Angiography
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Influence of Deep Learning Based Image Reconstruction on Quantitative Results of Coronary Artery Calcium Scoring.

Academic radiology Apr 6, 2024
RATIONALE AND OBJECTIVES: To assess the impact of deep learning-based imaging reconstruction (DLIR) on quantitative results of coronary artery calcium scoring (CACS) and to evaluate the potential of DLIR for radiation dose reduction in CACS.
Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Retrospective Studies Female Aged Male Middle Aged Radiation Dosage Vascular Calcification Phantoms, Imaging Humans
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AttGRU-HMSI: enhancing heart disease diagnosis using hybrid deep learning approach.

Scientific reports Apr 3, 2024
Heart disease is a major global cause of mortality and a major public health problem for a large number of individuals. A major issue raised by regular clinical data analysis is the recognition of cardiovascular illnesses, including heart attacks and...
Deep Learning Bayes Theorem Intelligence Coronary Artery Disease Heart Diseases Humans Algorithms
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Validation of a fully automated deep learning-enabled solution for CCTA atherosclerotic plaque and stenosis quantification in a diverse real-world cohort.

Journal of cardiovascular computed tomography Mar 28, 2024
Coronary Artery Disease Automation Humans Coronary Vessels Severity of Illness Index Female Retrospective Studies Plaque, Atherosclerotic Coronary Stenosis Deep Learning Reproducibility of Results Computed Tomography Angiography Predictive Value of Tests Aged Coronary Angiography Male Radiographic Image Interpretation, Computer-Assisted Middle Aged
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Diagnostic and prognostic performance of artificial intelligence-based fully-automated on-site CT-FFR in patients with CAD.

Science bulletin Mar 27, 2024
Currently, clinically available coronary CT angiography (CCTA) derived fractional flow reserve (CT-FFR) is time-consuming and complex. We propose a novel artificial intelligence-based fully-automated, on-site CT-FFR technology, which combines the aut...
Coronary Artery Disease Computed Tomography Angiography Fractional Flow Reserve, Myocardial Humans Female Artificial Intelligence Aged Prognosis Male Retrospective Studies Middle Aged Coronary Angiography
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Cross-sectional angle prediction of lipid-rich and calcified tissue on computed tomography angiography images.

International journal of computer assisted radiology and surgery Mar 13, 2024
PURPOSE: The assessment of vulnerable plaque characteristics and distribution is important to stratify cardiovascular risk in a patient. Computed tomography angiography (CTA) offers a promising alternative to invasive imaging but is limited by the fa...
Coronary Artery Disease Humans Plaque, Atherosclerotic Male Vascular Calcification Deep Learning Computed Tomography Angiography Lipids
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Reproducibility of artificial intelligence-enabled plaque measurements between systolic and diastolic phases from coronary computed tomography angiography.

European radiology Mar 11, 2024
OBJECTIVES: Current coronary CT angiography (CTA) guidelines suggest both end-systolic and mid-diastolic phases of the cardiac cycle can be used for CTA image acquisition. However, whether differences in the phase of the cardiac cycle influence coron...
Systole Plaque, Atherosclerotic Computed Tomography Angiography Diastole Humans Male Middle Aged Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Artificial Intelligence Female Reproducibility of Results Aged
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