AIMC Topic: Vascular Calcification

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Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

European radiology Jan 19, 2018
OBJECTIVES: We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischaemia risk score from quantitative plaque measures from coronary computed tomograph...
Fractional Flow Reserve, Myocardial Humans Aged, 80 and over Machine Learning Severity of Illness Index Vascular Calcification Adult Female Male Hemodynamics Myocardial Ischemia Computed Tomography Angiography Aged Middle Aged Plaque, Atherosclerotic Coronary Angiography Coronary Stenosis Coronary Artery Disease
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Impact of Deep Learning-Based Image Conversion on Fully Automated Coronary Artery Calcium Scoring Using Thin-Slice, Sharp-Kernel, Non-Gated, Low-Dose Chest CT Scans: A Multi-Center Study.

Korean journal of radiology Aug 1, 2025
OBJECTIVE: To evaluate the impact of deep learning-based image conversion on the accuracy of automated coronary artery calcium quantification using thin-slice, sharp-kernel, non-gated, low-dose chest computed tomography (LDCT) images collected from m...
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Coronary Artery Disease Male Radiation Dosage Coronary Vessels Middle Aged Radiography, Thoracic Deep Learning Vascular Calcification Radiographic Image Interpretation, Computer-Assisted
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Identification of potential biomarkers in cardiovascular calcification based on bioinformatics combined with single-cell RNA-seq and multiple machine learning analysis.

Cellular signalling Jul 1, 2025
BACKGROUND: The molecular and genetic mechanisms underlying vascular calcification remain unclear. This study aimed to determine the differences in calcification marker-related gene expression in macrophages.
RNA-Seq Single-Cell Gene Expression Analysis Mice Computational Biology Vascular Calcification Biomarkers Humans Animals Machine Learning Single-Cell Analysis Protein Interaction Maps
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A multi-model deep learning approach for the identification of coronary artery calcifications within 2D coronary angiography images.

International journal of computer assisted radiology and surgery Jun 1, 2025
PURPOSE: Identifying and quantifying coronary artery calcification (CAC) is crucial for preoperative planning, as it helps to estimate both the complexity of the 2D coronary angiography (2DCA) procedure and the risk of developing intraoperative compl...
Male Middle Aged Deep Learning Coronary Angiography Humans Female Vascular Calcification Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Coronary Vessels
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Assessing the diagnostic accuracy and prognostic utility of artificial intelligence detection and grading of coronary artery calcification on nongated computed tomography (CT) thorax.

Clinical radiology Jun 1, 2025
AIMS: This study assessed the diagnostic accuracy and prognostic implications of an artificial intelligence (AI) tool for coronary artery calcification (CAC) assessment on nongated, noncontrast thoracic computed tomography (CT).
Radiography, Thoracic Vascular Calcification Reproducibility of Results Aged Aged, 80 and over Adult Middle Aged Coronary Artery Disease Observer Variation Sensitivity and Specificity Male Prognosis Retrospective Studies Tomography, X-Ray Computed Female Humans Artificial Intelligence
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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.
Proportional Hazards Models Aged Plaque, Atherosclerotic Male Vascular Calcification Middle Aged Computed Tomography Angiography Humans Risk Assessment Prognosis Coronary Angiography Retrospective Studies Cause of Death Severity of Illness Index Female Coronary Artery Disease Predictive Value of Tests
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Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study.

Scientific reports May 20, 2025
Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease detection, yet economic considerations are often overlooked. Medial vascular calcification (mVC), a pathology associated with elevated cardiovascular risk...
Cost-Benefit Analysis Vascular Calcification Kidney Transplantation Biomarkers Female Aged Humans Middle Aged Machine Learning Pilot Projects Adult Renal Insufficiency, Chronic Male
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Detection of carotid artery calcifications using artificial intelligence in dental radiographs: a systematic review and meta-analysis.

BMC medical imaging May 19, 2025
BACKGROUND: Carotid artery calcifications are important markers of cardiovascular health, often associated with atherosclerosis and a higher risk of stroke. Recent research shows that dental radiographs can help identify these calcifications, allowin...
Artificial Intelligence Algorithms Sensitivity and Specificity Radiography, Dental Carotid Artery Diseases Humans Cone-Beam Computed Tomography Radiography, Panoramic Carotid Arteries Vascular Calcification
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Breast Arterial Calcifications on Mammography: A Review of the Literature.

Journal of breast imaging May 17, 2025
Identifying systemic disease with medical imaging studies may improve population health outcomes. Although the pathogenesis of peripheral arterial calcification and coronary artery calcification differ, breast arterial calcification (BAC) on mammogra...
Humans Artificial Intelligence Female Cardiovascular Diseases Mammography Breast Vascular Calcification Breast Diseases
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Fully Automated Agatston Score Calculation From Electrocardiography-Gated Cardiac Computed Tomography Using Deep Learning and Multi-Organ Segmentation: A Validation Study.

Angiology May 1, 2025
To evaluate deep learning-based calcium segmentation and quantification on ECG-gated cardiac CT scans compared with manual evaluation. Automated calcium quantification was performed using a neural network based on mask regions with convolutional neur...
Computed Tomography Angiography Tomography, X-Ray Computed Cardiac-Gated Imaging Techniques Female Predictive Value of Tests Male Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Coronary Angiography Middle Aged Aged Deep Learning Coronary Artery Disease Humans Electrocardiography Vascular Calcification Neural Networks, Computer Retrospective Studies
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