AIMC Topic: Plaque, Atherosclerotic

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CCTA-Derived coronary plaque burden offers enhanced prognostic value over CAC scoring in suspected CAD patients.

European heart journal. Cardiovascular Imaging May 30, 2025
AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary computed tomography angiography (CCTA)-derived quantitative plaque metrics for predicting adverse cardiovascular outcomes.
Female Aged Male Middle Aged Risk Assessment Humans Prognosis Retrospective Studies Coronary Artery Disease Proportional Hazards Models Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Severity of Illness Index Predictive Value of Tests Coronary Angiography Cause of Death
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Machine learning using scRNA-seq Combined with bulk-seq to identify lactylation-related hub genes in carotid arteriosclerosis.

Scientific reports May 22, 2025
Atherosclerosis is a chronic inflammatory disease, this study aims to investigate the immune landscape in carotid atherosclerotic plaque formation and explore diagnostic biomarkers of lactylation-associated genes, so as to gain new insights into unde...
Carotid Artery Diseases Biomarkers RNA-Seq Single-Cell Gene Expression Analysis Gene Expression Profiling Gene Regulatory Networks Humans Sequence Analysis, RNA Transcriptome Machine Learning Plaque, Atherosclerotic Single-Cell Analysis
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Machine Learning-Based Immuno-Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture.

Immunity, inflammation and disease Apr 1, 2025
BACKGROUND: Coronary artery plaque rupture (PR) is closely associated with immune-inflammatory responses. The systemic inflammatory index (SII) and the systemic inflammatory response index (SIRI) have shown potential in predicting the occurrence of P...
Aged Male Middle Aged ROC Curve Inflammation Humans Machine Learning Female Coronary Vessels Tomography, Optical Coherence Plaque, Atherosclerotic Percutaneous Coronary Intervention Coronary Artery Disease Acute Coronary Syndrome
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Diagnostic Performance of AI-enabled Plaque Quantification from Coronary CT Angiography Compared with Intravascular Ultrasound.

Radiology. Cardiothoracic imaging Dec 1, 2024
Purpose To assess the diagnostic performance of a coronary CT angiography (CCTA) artificial intelligence (AI)-enabled tool (AI-QCPA; HeartFlow) to quantify plaque volume, as compared with intravascular US (IVUS). Materials and Methods A retrospective...
Registries Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Male Middle Aged Coronary Angiography Ultrasonography, Interventional Computed Tomography Angiography Humans Retrospective Studies Female Aged Artificial Intelligence Prospective Studies
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Deep Learning and Single-Cell Sequencing Analyses Unveiling Key Molecular Features in the Progression of Carotid Atherosclerotic Plaque.

Journal of cellular and molecular medicine Nov 1, 2024
Rupture of advanced carotid atherosclerotic plaques increases the risk of ischaemic stroke, which has significant global morbidity and mortality rates. However, the specific characteristics of immune cells with dysregulated function and proven biomar...
Sequence Analysis, RNA Plaque, Atherosclerotic Carotid Artery Diseases Humans Gene Expression Profiling Biomarkers Deep Learning Female Single-Cell Analysis Monocytes Aged Male Middle Aged Disease Progression
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Prospective deep learning-based quantitative assessment of coronary plaque by computed tomography angiography compared with intravascular ultrasound: the REVEALPLAQUE study.

European heart journal. Cardiovascular Imaging Aug 26, 2024
AIMS: Coronary computed tomography angiography provides non-invasive assessment of coronary stenosis severity and flow impairment. Automated artificial intelligence (AI) analysis may assist in precise quantification and characterization of coronary a...
Coronary Angiography Ultrasonography, Interventional Coronary Artery Disease Japan Plaque, Atherosclerotic Humans Male Computed Tomography Angiography Middle Aged Prospective Studies Severity of Illness Index Female Deep Learning Aged
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Machine Learning Constructed Based on Patient Plaque and Clinical Features for Predicting Stent Malapposition: A Retrospective Study.

Clinical cardiology Aug 1, 2024
BACKGROUND: Stent malapposition (SM) following percutaneous coronary intervention (PCI) for myocardial infarction continues to present significant clinical challenges. In recent years, machine learning (ML) models have demonstrated potential in disea...
Predictive Value of Tests Tomography, Optical Coherence Coronary Angiography Percutaneous Coronary Intervention Stents Coronary Vessels Plaque, Atherosclerotic Coronary Artery Disease Myocardial Infarction Male Middle Aged Risk Assessment China Retrospective Studies Female Risk Factors Humans Aged Machine Learning
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[Deep Learning-Based Artificial Intelligence Model for Automatic Carotid Plaque Identification].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2024
This study aims at developing a dataset for determining the presence of carotid artery plaques in ultrasound images, composed of 1761 ultrasound images from 1165 participants. A deep learning architecture that combines bilinear convolutional neural n...
Humans Neural Networks, Computer Artificial Intelligence Plaque, Atherosclerotic Deep Learning Carotid Stenosis Carotid Artery Diseases Ultrasonography Image Processing, Computer-Assisted Carotid Arteries
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Classification of Carotid Plaque with Jellyfish Sign Through Convolutional and Recurrent Neural Networks Utilizing Plaque Surface Edges.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In carotid arteries, plaque can develop as localized elevated lesions. The Jellyfish sign, marked by fluctuating plaque surfaces with blood flow pulsation, is a dynamic characteristic of these plaques that has recently attracted attention. Detecting ...
Recurrent Neural Networks Algorithms Image Processing, Computer-Assisted Deep Learning Humans Ultrasonography Carotid Arteries Neural Networks, Computer Plaque, Atherosclerotic Carotid Stenosis
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Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.

Therapeutic advances in cardiovascular disease Jan 1, 2024
Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structures and vasculature considered comparable to invasive coronary angiography for the evaluation of coronary artery disease (CAD) in several major cardio...
Coronary Artery Disease Severity of Illness Index Humans Predictive Value of Tests Coronary Vessels Artificial Intelligence Coronary Angiography Plaque, Atherosclerotic Prognosis Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Reproducibility of Results
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