AIMC Topic: Vascular Calcification
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Automated MRI-based segmentation of intracranial arterial calcification by restricting feature complexity.
Magnetic resonance in medicine
Sep 2, 2024
PURPOSE: To develop an automated deep learning model for MRI-based segmentation and detection of intracranial arterial calcification.
Deep transfer learning for detection of breast arterial calcifications on mammograms: a comparative study.
European radiology experimental
Jul 15, 2024
INTRODUCTION: Breast arterial calcifications (BAC) are common incidental findings on routine mammograms, which have been suggested as a sex-specific biomarker of cardiovascular disease (CVD) risk. Previous work showed the efficacy of a pretrained con...
CACSNet for automatic robust classification and segmentation of carotid artery calcification on panoramic radiographs using a cascaded deep learning network.
Scientific reports
Jun 17, 2024
Stroke is one of the major causes of death worldwide, and is closely associated with atherosclerosis of the carotid artery. Panoramic radiographs (PRs) are routinely used in dental practice, and can be used to visualize carotid artery calcification (...
Coronary Artery Calcification on Low-Dose Lung Cancer Screening CT in South Korea: Visual and Artificial Intelligence-Based Assessment and Association With Cardiovascular Events.
AJR. American journal of roentgenology
May 29, 2024
Coronary artery calcification (CAC) on lung cancer screening low-dose chest CT (LDCT) is a cardiovascular risk marker. South Korea was the first Asian country to initiate a national LDCT lung cancer screening program, although CAC-related outcomes a...
Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments Debulked by Rotational Atherectomy Using Intravascular Ultrasound Images.
The American journal of cardiology
May 22, 2024
We develop and evaluate an artificial intelligence (AI)-based algorithm that uses pre-rotation atherectomy (RA) intravascular ultrasound (IVUS) images to automatically predict regions debulked by RA. A total of 2106 IVUS cross-sections from 60 patien...
Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.
The international journal of cardiovascular imaging
May 3, 2024
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as ...
Vascular Calcification
Computed Tomography Angiography
Cardiac-Gated Imaging Techniques
Prognosis
Reproducibility of Results
Severity of Illness Index
Deep Learning
Predictive Value of Tests
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Coronary Vessels
Humans
Artificial Intelligence
AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CAC) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis.
Journal of cardiovascular computed tomography
Apr 24, 2024
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC score that is not currently reported. We recently reported that artificial intelligence (AI)-enabled cardiac chambers volumetry in CAC scans (AI-CAC™...
United States
Predictive Value of Tests
Coronary Angiography
Peptide Fragments
Artificial Intelligence
Radiographic Image Interpretation, Computer-Assisted
Asymptomatic Diseases
Coronary Artery Disease
Biomarkers
Middle Aged
Computed Tomography Angiography
Heart Failure
Prognosis
Reproducibility of Results
Natriuretic Peptide, Brain
Risk Assessment
Female
Risk Factors
Humans
Multidetector Computed Tomography
Incidence
Aged
Vascular Calcification
Time Factors
Aged, 80 and over
Male
Assessment of atherosclerotic plaque burden: comparison of AI-QCT versus SIS, CAC, visual and CAD-RADS stenosis categories.
The international journal of cardiovascular imaging
Apr 17, 2024
This study assesses the agreement of Artificial Intelligence-Quantitative Computed Tomography (AI-QCT) with qualitative approaches to atherosclerotic disease burden codified in the multisociety 2022 CAD-RADS 2.0 Expert Consensus. 105 patients who und...
Observer Variation
Coronary Vessels
Multidetector Computed Tomography
Plaque, Atherosclerotic
Humans
Vascular Calcification
Severity of Illness Index
Artificial Intelligence
Reproducibility of Results
Computed Tomography Angiography
Predictive Value of Tests
Female
Coronary Stenosis
Aged
Coronary Angiography
Male
Radiographic Image Interpretation, Computer-Assisted
Middle Aged
Coronary Artery Disease
Influence of Deep Learning Based Image Reconstruction on Quantitative Results of Coronary Artery Calcium Scoring.
Academic radiology
Apr 6, 2024
RATIONALE AND OBJECTIVES: To assess the impact of deep learning-based imaging reconstruction (DLIR) on quantitative results of coronary artery calcium scoring (CACS) and to evaluate the potential of DLIR for radiation dose reduction in CACS.
Cross-sectional angle prediction of lipid-rich and calcified tissue on computed tomography angiography images.
International journal of computer assisted radiology and surgery
Mar 13, 2024
PURPOSE: The assessment of vulnerable plaque characteristics and distribution is important to stratify cardiovascular risk in a patient. Computed tomography angiography (CTA) offers a promising alternative to invasive imaging but is limited by the fa...
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