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...
Treatment Outcome Chronic Disease Predictive Value of Tests Diffusion of Innovation Coronary Occlusion Coronary Angiography Percutaneous Coronary Intervention Humans Forecasting Risk Factors
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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...
Sensitivity and Specificity Radiomics Male Middle Aged Humans Coronary Occlusion Coronary Angiography Deep Learning Retrospective Studies Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Diagnosis, Differential Female Chronic Disease
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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...
Coronary Occlusion Models, Cardiovascular Coronary Vessels Stress, Mechanical Hydrodynamics Male Magnetic Resonance Imaging Humans Neural Networks, Computer
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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,...
Artificial Intelligence Algorithms Retrospective Studies Humans Middle Aged Electrocardiography Emergency Medical Services Myocardial Infarction Female Aged Male False Positive Reactions Coronary Occlusion Cardiac Catheterization
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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.
Myocardial Infarction Coronary Occlusion Female Aged Male Electrocardiography Emergency Medical Services Middle Aged Deep Learning Humans
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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).
Humans Machine Learning Decision Support Techniques Risk Factors Aged Female Reproducibility of Results Registries Treatment Outcome Percutaneous Coronary Intervention Chronic Disease Coronary Occlusion Male Predictive Value of Tests Middle Aged Time 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...
Electrocardiography ST Elevation Myocardial Infarction Coronary Occlusion Humans Computers Deep Learning
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Deep Learning of Coronary CT for Complex Endovascular Procedures.

Radiology Oct 25, 2022
Computed Tomography Angiography Humans Tomography, X-Ray Computed Endovascular Procedures Deep Learning Coronary Occlusion
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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...
Tomography, X-Ray Computed Risk Factors Aged Humans Retrospective Studies Chronic Disease Male Coronary Angiography Percutaneous Coronary Intervention Deep Learning Coronary Occlusion Treatment Outcome
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Rational and design of ST-segment elevation not associated with acute cardiac necrosis (LESTONNAC). A prospective registry for validation of a deep learning system assisted by artificial intelligence.

Journal of electrocardiology Oct 30, 2021
BACKGROUND: Patients with chest pain and persistent ST segment elevation (STE) may not have acute coronary occlusions or serum troponin curves suggestive of acute necrosis. Our objective is the validation and cost-effectiveness analysis of a diagnost...
Myocardial Infarction Adolescent Humans Coronary Occlusion Electrocardiography Artificial Intelligence Registries Deep Learning
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