AIMC Topic: Coronary Artery Disease

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Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease.

The Journal of clinical investigation Mar 2, 2020
BACKGROUNDCeramides are sphingolipids that play causative roles in diabetes and heart disease, with their serum levels measured clinically as biomarkers of cardiovascular disease (CVD).METHODSWe performed targeted lipidomics on serum samples from ind...
Humans Male Middle Aged Ceramides Coronary Artery Disease Cholesterol Machine Learning Biomarkers Female Aged Adult
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Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography angiography: analysis from the CONFIRM registry.

European heart journal Jan 14, 2020
AIMS: Symptom-based pretest probability scores that estimate the likelihood of obstructive coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to develop a machine learning (ML) model, utilizing clinical factors and t...
Calcium Coronary Vessels Multidetector Computed Tomography Computed Tomography Angiography Humans Predictive Value of Tests Machine Learning Coronary Angiography Prospective Studies Registries Female Coronary Artery Disease Male Middle Aged ROC Curve
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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

European heart journal Nov 14, 2019
BACKGROUND: Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). Howeve...
Algorithms Phenotype Female Aged Male Humans Machine Learning Plaque, Atherosclerotic Computed Tomography Angiography Case-Control Studies Follow-Up Studies Adipose Tissue Coronary Artery Disease Genetic Markers Middle Aged Risk Assessment Gene Expression Profiling Transcriptome
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Automated A-line coronary plaque classification of intravascular optical coherence tomography images using handcrafted features and large datasets.

Journal of biomedical optics Oct 1, 2019
We developed machine learning methods to identify fibrolipidic and fibrocalcific A-lines in intravascular optical coherence tomography (IVOCT) images using a comprehensive set of handcrafted features. We incorporated features developed in previous st...
Databases, Factual Support Vector Machine Tomography, Optical Coherence Coronary Artery Disease Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Coronary Vessels Endovascular Procedures Plaque, Atherosclerotic
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Optical Coherence Tomography Vulnerable Plaque Segmentation Based on Deep Residual U-Net.

Reviews in cardiovascular medicine Sep 30, 2019
Automatic and accurate segmentation of intravascular optical coherence tomography imagery is of great importance in computer-aided diagnosis and in treatment of cardiovascular diseases. However, this task has not been well addressed for two reasons. ...
Reproducibility of Results Humans Deep Learning Prognosis Image Interpretation, Computer-Assisted Predictive Value of Tests Coronary Vessels Tomography, Optical Coherence Rupture, Spontaneous Coronary Artery Disease Plaque, Atherosclerotic Entropy
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Hybrid Neural Networks for Mortality Prediction from LDCT Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Known for its high morbidity and mortality rates, lung cancer poses a significant threat to human health and well-being. However, the same population is also at high risk for other deadly diseases, such as cardiovascular disease. Since Low-Dose CT (L...
Humans Lung Neoplasms Neural Networks, Computer Coronary Artery Disease Tomography, X-Ray Computed Thorax Risk Assessment Deep Learning
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Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach.

Journal of the American Heart Association Mar 5, 2019
Background The ability to accurately predict the occurrence of in-hospital death after percutaneous coronary intervention is important for clinical decision-making. We sought to utilize the New York Percutaneous Coronary Intervention Reporting System...
Hospital Mortality Treatment Outcome Age Factors Registries Percutaneous Coronary Intervention Coronary Artery Disease Data Mining New York Risk Factors Aged Humans Male Machine Learning Stroke Volume Databases, Factual Middle Aged Female
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Impact of Knowledge-Based Iterative Model Reconstruction on Image Quality and Hemodynamic Parameters in Dynamic Myocardial Computed Tomography Perfusion Using Low-Tube-Voltage Scan: A Feasibility Study.

Journal of computer assisted tomography Jan 1, 2019
OBJECTIVE: Knowledge-based iterative model reconstruction (IMR) yields diagnostically acceptable image quality in low-dose static computed tomography (CT). We aimed to evaluate the feasibility of IMR in dynamic myocardial computed tomography perfusio...
Iopamidol Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Exercise Test Coronary Artery Disease Feasibility Studies Knowledge Bases Multidetector Computed Tomography Computed Tomography Angiography Cardiac-Gated Imaging Techniques Aged Male Middle Aged Hemodynamics Contrast Media Humans Algorithms Retrospective Studies Female
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A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.

The Journal of invasive cardiology Jan 1, 2019
OBJECTIVES: Cancer has been proposed as a cardiovascular risk factor. We aimed to assess the cardiovascular risk profile and coronary angiography (CA) findings of cancer patients and compare them to those of patients without cancer.
Risk Assessment Humans Neoplasms Machine Learning Academic Medical Centers Prevalence Retrospective Studies Age Factors Multivariate Analysis Case-Control Studies Female Coronary Angiography Propensity Score Logistic Models Aged Coronary Artery Disease Aged, 80 and over Texas Reference Values Male Cancer Care Facilities Sex Factors
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Prognostic Value of NT-proBNP in Stable Coronary Artery Disease in Chinese Patients after Percutaneous Coronary Intervention in the Drug-eluting Stent Era.

Biomedical and environmental sciences : BES Dec 1, 2018
OBJECTIVE: The predictive value of N-terminal pro-brain natriuretic peptide (NT-proBNP) in patients with stable coronary artery disease (SCAD) in the drug-eluting stent era is not yet clear. We aimed to evaluate the prognostic value of NT-proBNP in S...
Percutaneous Coronary Intervention Coronary Artery Disease Male Kaplan-Meier Estimate Asian People Humans Natriuretic Peptide, Brain Prognosis Middle Aged Drug-Eluting Stents Female China Aged ROC Curve Peptide Fragments
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