AIMC Topic: Coronary Artery Disease

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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. ...
Deep Learning Humans Predictive Value of Tests Image Interpretation, Computer-Assisted Prognosis Tomography, Optical Coherence Coronary Vessels Reproducibility of Results Coronary Artery Disease Rupture, Spontaneous 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 Neural Networks, Computer Coronary Artery Disease Tomography, X-Ray Computed Thorax Risk Assessment Deep Learning Lung Neoplasms
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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...
Risk Factors Aged Male Stroke Volume Middle Aged Humans Machine Learning Databases, Factual Female Coronary Artery Disease Data Mining New York Hospital Mortality Treatment Outcome Age Factors Registries Percutaneous Coronary Intervention
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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...
Aged Male Knowledge Bases Middle Aged Multidetector Computed Tomography Hemodynamics Humans Computed Tomography Angiography Algorithms Cardiac-Gated Imaging Techniques Contrast Media Retrospective Studies Female Iopamidol Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Exercise Test Coronary Artery Disease Feasibility Studies
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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.
Coronary Angiography Coronary Artery Disease Reference Values Sex Factors Academic Medical Centers Neoplasms Multivariate Analysis Prevalence Propensity Score Case-Control Studies Texas Logistic Models Cancer Care Facilities Aged Humans Age Factors Aged, 80 and over Machine Learning Male Retrospective Studies Risk Assessment Female
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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 Humans Kaplan-Meier Estimate Coronary Artery Disease Male Prognosis Asian People Drug-Eluting Stents Middle Aged Female Natriuretic Peptide, Brain China Aged ROC Curve Peptide Fragments
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Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.

Journal of the American Heart Association Nov 20, 2018
Background Studies have demonstrated that the current US guidelines based on American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equations Risk Calculator may underestimate risk of atherosclerotic cardiovascular disease ...
Cardiovascular Diseases Middle Aged Risk Assessment Female Support Vector Machine Hydroxymethylglutaryl-CoA Reductase Inhibitors Humans Risk Factors Coronary Artery Disease Machine Learning Aged Sensitivity and Specificity Male
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Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Single-nucleotide polymorphism (SNP)-SNP interactions (SSIs) are popular markers for understanding disease susceptibility. Multifactor dimensionality reduction (MDR) can successfully detect considerable SSIs. Currently, MDR-based methods ...
Humans Case-Control Studies Genetic Predisposition to Disease Polymorphism, Single Nucleotide Models, Genetic Epistasis, Genetic Coronary Artery Disease Multifactor Dimensionality Reduction
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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.

Circulation. Cardiovascular imaging Jun 1, 2018
BACKGROUND: Coronary computed tomographic angiography (CTA) is a reliable modality to detect coronary artery disease. However, CTA generally overestimates stenosis severity compared with invasive angiography, and angiographic stenosis does not necess...
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Humans Aged Deep Learning Coronary Artery Disease Prospective Studies Male United States Retrospective Studies Coronary Vessels Middle Aged Europe Asia Severity of Illness Index Female Predictive Value of Tests
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Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.

IEEE transactions on medical imaging Feb 1, 2018
Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as much as by lung cancer. Low-dose chest CT scans acquired in screening enable quantification of atherosclerotic calcifications and thus enable identifi...
Calcinosis Humans Aortic Valve Stenosis Radiography, Thoracic Neural Networks, Computer Tomography, X-Ray Computed Aortic Valve Algorithms Coronary Artery Disease Aged Coronary Vessels Middle Aged Lung Neoplasms
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