AIMC Topic: Coronary Circulation

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Distinct immune-metabolic phenotypes underlie poor coronary collateral circulation.

Cardiovascular diabetology Nov 18, 2025
BACKGROUND: Coronary collateral circulation (CCC) significantly impacts myocardial perfusion and clinical outcomes in coronary artery disease patients, yet the underlying molecular heterogeneity remains inadequately characterized.
Humans Phenotype Biomarkers Prognosis Middle Aged Risk Assessment Proteomics Coronary Artery Disease Coronary Circulation Collateral Circulation Female Reproducibility of Results Risk Factors Aged Male
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A practical review of stress perfusion cardiac magnetic resonance imaging for the management of coronary artery disease.

Current opinion in cardiology Oct 2, 2025
PURPOSE OF REVIEW: Stress perfusion cardiac magnetic resonance imaging (CMR) has gained increasing adoption across North America and Europe for the evaluation of symptomatic suspected or established ischemic heart disease (IHD).
Myocardial Perfusion Imaging Magnetic Resonance Imaging Exercise Test Coronary Artery Disease Humans Myocardial Ischemia Artificial Intelligence Coronary Circulation Prognosis
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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.
Middle Aged Image Processing, Computer-Assisted Coronary Artery Disease Feasibility Studies Myocardial Ischemia Neural Networks, Computer Coronary Circulation Tomography, X-Ray Computed Myocardial Perfusion Imaging Female Humans Aged Male
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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.
Tomography, X-Ray Computed Female Aged Male Middle Aged Image Processing, Computer-Assisted Humans Artificial Intelligence Prognosis Retrospective Studies Coronary Artery Disease Calcium Coronary Vessels Coronary Circulation
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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...
ROC Curve Electrocardiography Coronary Artery Disease Positron-Emission Tomography Tomography, Emission-Computed, Single-Photon Prognosis Female Aged Male Middle Aged Coronary Circulation Humans Machine Learning
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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...
Predictive Value of Tests Middle Aged Humans Uncertainty Image Interpretation, Computer-Assisted Deep Learning Female Datasets as Topic Time Factors Reproducibility of Results Coronary Circulation United States Aged Myocardial Perfusion Imaging Magnetic Resonance Imaging Male
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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...
Myocardial Perfusion Imaging Logistic Models Risk Factors Obesity Humans Image Interpretation, Computer-Assisted Aged Adenosine Predictive Value of Tests Artificial Intelligence Male Pyrazoles Adenosine A2 Receptor Agonists Coronary Artery Disease Algorithms Vasodilator Agents Middle Aged Body Weight Female Purines Case-Control Studies Coronary Circulation
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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...
Swine Photoplethysmography Electrocardiography Disease Models, Animal Blood Pressure Coronary Circulation Cardiopulmonary Resuscitation Heart Arrest Machine Learning Algorithms Animals
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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.
Computed Tomography Angiography Coronary Circulation Aged Acute Coronary Syndrome Male Artificial Intelligence Middle Aged Coronary Vessels Prognosis Risk Assessment Rupture, Spontaneous Female Coronary Angiography Multidetector Computed Tomography Severity of Illness Index Reproducibility of Results Humans Radiographic Image Interpretation, Computer-Assisted Plaque, Atherosclerotic Risk Factors Coronary Artery Disease Hemodynamics Time Factors Predictive Value of Tests
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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...
Time Factors Predictive Value of Tests Coronary Angiography Coronary Artery Disease Positron-Emission Tomography Coronary Vessels Vasodilator Agents Computed Tomography Angiography Coronary Circulation Myocardial Perfusion Imaging Risk Factors Aged Male Humans Middle Aged Artificial Intelligence Algorithms Severity of Illness Index Prognosis Finland Retrospective Studies Female Angina, Unstable Reproducibility of Results Coronary Stenosis Adenosine
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