AIMC Topic: Coronary Circulation

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Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network.

Journal of X-ray science and technology Mar 3, 2025
BACKGROUND:  Myocardial blood flow (MBF) provides important diagnostic information for myocardial ischemia. However, dynamic computed tomography perfusion (CTP) needed for MBF involves multiple exposures, leading to high radiation doses.
Humans Image Processing, Computer-Assisted Coronary Artery Disease Feasibility Studies Myocardial Ischemia Coronary Circulation Myocardial Perfusion Imaging Neural Networks, Computer Tomography, X-Ray Computed Female Aged Male Middle Aged
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Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis.

European journal of nuclear medicine and molecular imaging Oct 15, 2024
PURPOSE: This study aimed to test whether the coronary artery calcium (CAC) burden on attenuation correction computed tomography (CTac), measured using artificial intelligence (AI-CACac), correlates with coronary flow capacity (CFC) and prognosis.
Image Processing, Computer-Assisted Coronary Artery Disease Calcium Coronary Vessels Coronary Circulation Tomography, X-Ray Computed Female Aged Male Middle Aged Humans Artificial Intelligence Prognosis Retrospective Studies
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Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients' electrocardiograms.

Cell reports. Medicine Sep 25, 2024
We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood flow reserve (MFR) and assess its prognostic value for major adverse cardiovascular events (MACEs). Using 3,639 ECG-positron emission tomography (PET...
Middle Aged Humans ROC Curve Machine Learning Tomography, Emission-Computed, Single-Photon Prognosis Electrocardiography Coronary Circulation Female Coronary Artery Disease Aged Positron-Emission Tomography Male
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Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty-guided space-time analysis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 12, 2024
BACKGROUND: Fully automatic analysis of myocardial perfusion cardiovascular magnetic resonance imaging datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart disease. Developing deep learning t...
Image Interpretation, Computer-Assisted Datasets as Topic Coronary Circulation Myocardial Perfusion Imaging Uncertainty Middle Aged Humans Deep Learning Female Time Factors Reproducibility of Results United States Aged Magnetic Resonance Imaging Male Predictive Value of Tests
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Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Predictive Value of Tests Coronary Artery Disease Body Weight Image Interpretation, Computer-Assisted Pyrazoles Purines Male Humans Vasodilator Agents Coronary Circulation Artificial Intelligence Middle Aged Algorithms Myocardial Perfusion Imaging Case-Control Studies Female Adenosine Logistic Models Adenosine A2 Receptor Agonists Risk Factors Obesity Aged
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Estimation of invasive coronary perfusion pressure using electrocardiogram and Photoplethysmography in a porcine model of cardiac arrest.

Computer methods and programs in biomedicine Jun 13, 2024
BACKGROUND: Coronary perfusion pressure (CPP) indicates spontaneous return of circulation and is recommended for high-quality cardiopulmonary resuscitation (CPR). This study aimed to investigate a method for non-invasive estimation of CPP using elect...
Machine Learning Algorithms Animals Swine Photoplethysmography Electrocardiography Disease Models, Animal Blood Pressure Coronary Circulation Cardiopulmonary Resuscitation Heart Arrest
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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging May 15, 2024
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Acute Coronary Syndrome Coronary Vessels Middle Aged Risk Assessment Severity of Illness Index Hemodynamics Time Factors Rupture, Spontaneous Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Circulation Humans Artificial Intelligence Prognosis Female Reproducibility of Results Risk Factors Aged Male
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Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion.

Journal of cardiovascular computed tomography Apr 24, 2024
BACKGROUND: Among patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA), downstream positron emission tomography (PET) perfusion imaging can be performed to assess the presence of myocardial ischemi...
Angina, Unstable Coronary Stenosis Adenosine Coronary Vessels Vasodilator Agents Computed Tomography Angiography Coronary Circulation Myocardial Perfusion Imaging Finland Time Factors Artificial Intelligence Predictive Value of Tests Algorithms Coronary Angiography Reproducibility of Results Prognosis Humans Coronary Artery Disease Retrospective Studies Risk Factors Positron-Emission Tomography Female Aged Male Middle Aged Severity of Illness Index
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AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

JACC. Cardiovascular imaging Mar 6, 2024
BACKGROUND: Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery cal...
Artificial Intelligence Prognosis Retrospective Studies Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Time Factors Humans Vascular Calcification Predictive Value of Tests Computed Tomography Angiography Coronary Angiography Coronary Circulation Radiographic Image Interpretation, Computer-Assisted Myocardial Perfusion Imaging Coronary Artery Disease Single Photon Emission Computed Tomography Computed Tomography Coronary Vessels
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Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 10, 2024
BACKGROUND: 4D flow MRI enables assessment of cardiac function and intra-cardiac blood flow dynamics from a single acquisition. However, due to the poor contrast between the chambers and surrounding tissue, quantitative analysis relies on the segment...
Automation Blood Flow Velocity Coronary Circulation Myocardial Perfusion Imaging Magnetic Resonance Imaging, Cine Middle Aged Humans Deep Learning Databases, Factual Predictive Value of Tests Female Heart Ventricles Reproducibility of Results Image Interpretation, Computer-Assisted Male Ventricular Function, Left
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