AIMC Topic: Coronary Occlusion

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Chronic Total Occlusion Percutaneous Coronary Intervention: Present and Future.

Circulation. Cardiovascular interventions Apr 14, 2025
Chronic total occlusion percutaneous coronary intervention has evolved into a subspecialty of interventional cardiology. Using a variety of antegrade and retrograde techniques, experienced operators currently achieve success rates of 85% to 90%, with...
Humans Forecasting Risk Factors Coronary Angiography Percutaneous Coronary Intervention Diffusion of Innovation Coronary Occlusion Treatment Outcome Chronic Disease Predictive Value of Tests
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Machine Learning-Based Algorithm to Predict Procedural Success in a Large European Cohort of Hybrid Chronic Total Occlusion Percutaneous Coronary Interventions.

The American journal of cardiology Apr 9, 2025
CTOs are frequently encountered in patients undergoing invasive coronary angiography. Even though technical progress in CTO-PCI and enhanced skills of dedicated operators have led to substantial procedural improvement, the success of the intervention...
Female Aged Male Middle Aged Humans Machine Learning Algorithms Chronic Disease Coronary Angiography Percutaneous Coronary Intervention Coronary Occlusion ROC Curve Treatment Outcome Europe
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Deep Learning and Radiomics Discrimination of Coronary Chronic Total Occlusion and Subtotal Occlusion using CTA.

Academic radiology Mar 30, 2025
RATIONALE AND OBJECTIVES: Coronary chronic total occlusion (CTO) and subtotal occlusion (STO) pose diagnostic challenges, differing in treatment strategies. Artificial intelligence and radiomics are promising tools for accurate discrimination. This s...
Deep Learning Diagnosis, Differential Chronic Disease Coronary Occlusion Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Radiomics Male Middle Aged Humans Retrospective Studies Female
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Predicting coronary artery occlusion risk from noninvasive images by combining CFD-FSI, cGAN and CNN.

Scientific reports Sep 30, 2024
Wall Shear Stress (WSS) is one of the most important parameters used in cardiovascular fluid mechanics, and it provides a lot of information like the risk level caused by any vascular occlusion. Since WSS cannot be measured directly and other availab...
Humans Models, Cardiovascular Coronary Vessels Stress, Mechanical Hydrodynamics Coronary Occlusion Neural Networks, Computer Male Magnetic Resonance Imaging
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Artificial Intelligence Driven Prehospital ECG Interpretation for the Reduction of False Positive Emergent Cardiac Catheterization Lab Activations: A Retrospective Cohort Study.

Prehospital emergency care Sep 12, 2024
OBJECTIVES: Data suggest patients suffering acute coronary occlusion myocardial infarction (OMI) benefit from prompt primary percutaneous intervention (PPCI). Many emergency medical services (EMS) activate catheterization labs to reduce time to PPCI,...
Cardiac Catheterization Myocardial Infarction False Positive Reactions Coronary Occlusion Retrospective Studies Female Aged Electrocardiography Emergency Medical Services Male Middle Aged Humans Artificial Intelligence Algorithms
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Clinical usability of deep learning-based saliency maps for occlusion myocardial infarction identification from the prehospital 12-Lead electrocardiogram.

Journal of electrocardiology Sep 2, 2024
INTRODUCTION: Deep learning (DL) models offer improved performance in electrocardiogram (ECG)-based classification over rule-based methods. However, for widespread adoption by clinicians, explainability methods, like saliency maps, are essential.
Coronary Occlusion Electrocardiography Emergency Medical Services Myocardial Infarction Humans Female Middle Aged Deep Learning Aged Male
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Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning.

JACC. Cardiovascular interventions Jul 3, 2024
BACKGROUND: There is limited data on predicting successful chronic total occlusion crossing using primary antegrade wiring (AW).
Treatment Outcome Humans Chronic Disease Machine Learning Predictive Value of Tests Decision Support Techniques Coronary Occlusion Registries Percutaneous Coronary Intervention Aged Female Middle Aged Male Reproducibility of Results Time Factors Risk Factors
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Kenichi Harumi Plenary Address at Annual Meeting of the International Society of Computers in Electrocardiology: "What Should ECG Deep Learning Focus on? The diagnosis of acute coronary occlusion!".

Journal of electrocardiology Nov 5, 2022
According to the STEMI paradigm, only patients whose ECGs meet STEMI criteria require immediate reperfusion. This leads to reperfusion delays and significantly increases the mortality for the quarter of "non-STEMI" patients with totally occluded arte...
Coronary Occlusion Deep Learning Humans Electrocardiography Computers ST Elevation Myocardial Infarction
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Deep Learning of Coronary CT for Complex Endovascular Procedures.

Radiology Oct 25, 2022
Endovascular Procedures Humans Coronary Occlusion Tomography, X-Ray Computed Computed Tomography Angiography Deep Learning
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Deep Learning Segmentation and Reconstruction for CT of Chronic Total Coronary Occlusion.

Radiology Oct 25, 2022
Background CT imaging of chronic total occlusion (CTO) is useful in guiding revascularization, but manual reconstruction and quantification are time consuming. Purpose To develop and validate a deep learning (DL) model for automated CTO reconstructio...
Percutaneous Coronary Intervention Coronary Occlusion Humans Treatment Outcome Retrospective Studies Male Chronic Disease Tomography, X-Ray Computed Risk Factors Coronary Angiography Deep Learning Aged
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