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Machine learning based model to diagnose obstructive coronary artery disease using calcium scoring, PET imaging, and clinical data
IntroductionAccurate risk stratification in patients with suspected stable coronary artery disease is essential for choosing an appropriate treatment...
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Reproducibility of quantitative coronary calcium scoring from PET/CT attenuation maps: comparison to ECG-gated CT scans
PurposeWe sought to evaluate inter-scan and inter-reader agreement of coronary calcium (CAC) scores obtained from dedicated, ECG-gated CAC scans...
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Coronary artery calcium quantification technique using dual energy material decomposition: a simulation study
Coronary artery calcification is a significant predictor of cardiovascular disease, with current detection methods like Agatston scoring having...
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Radiation dose optimization for photon-counting CT coronary artery calcium scoring for different patient sizes: a dynamic phantom study
PurposeTo systematically assess the radiation dose reduction potential of coronary artery calcium (CAC) assessments with photon-counting computed...
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Automated coronary calcium scoring using deep learning with multicenter external validation
Coronary artery disease (CAD), the most common manifestation of cardiovascular disease, remains the most common cause of mortality in the United...
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Integration of coronary artery calcium scoring from CT attenuation scans by machine learning improves prediction of adverse cardiovascular events in patients undergoing SPECT/CT myocardial perfusion imaging
BackgroundMachine learning (ML) has been previously applied for prognostication in patients undergoing SPECT myocardial perfusion imaging (MPI). We...
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Tube voltage-independent coronary calcium scoring on a first-generation dual-source photon-counting CT—a proof-of-principle phantom study
To evaluate the accuracy of coronary artery calcium (CAC) scoring at various tube voltages and different monoenergetic image reconstructions on a...
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Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs
Cardiovascular disease (CVD) prediction models are widely used in modern medicine and are incorporated into prominent guidelines. Coronary artery...
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Incorporating coronary artery calcium scoring in the prediction of obstructive coronary artery disease with myocardial ischemia: a study with sequential use of coronary computed tomography angiography and positron emission tomography imaging
BackgroundAdditional strategies are needed to refine the referral for diagnostic testing of symptomatic patients with suspected coronary artery...
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Coronary calcium scoring potential of large field-of-view spectral photon-counting CT: a phantom study
ObjectiveThe aim of the current study was, first, to assess the coronary artery calcium (CAC) scoring potential of spectral photon-counting CT...
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Development and validation of an eight-item calcium screener to assess daily calcium intake of patients with osteoporosis in clinical practice
ObjectiveTo validate a short food frequency questionnaire (screener) estimating daily average calcium intake from dietary sources to guide calcium...
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Assessing mortality risk in Type 2 Diabetes patients with prolonged ASCVD risk factors: the inclusive Poh-Ai predictive scoring system with CAC Score integration
PurposeTo enhance the predictive risk model for all-cause mortality in individuals with Type 2 Diabetes (T2DM) and prolonged Atherosclerotic...
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Evaluating a calcium-aware kernel for CT CAC scoring with varying surrounding materials and heart rates: a dynamic phantom study
ObjectivesThe purpose of this study was twofold. First, the influence of a novel calcium-aware (Ca-aware) computed tomography (CT) reconstruction...
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Automated cardiovascular risk categorization through AI-driven coronary calcium quantification in cardiac PET acquired attenuation correction CT
BackgroundWe present an automatic method for coronary artery calcium (CAC) quantification and cardiovascular risk categorization in CT attenuation...
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Development and validation of a novel scoring system based on a nomogram for predicting inadequate bowel preparation
Background and aimsAdequate bowel preparation (BP) is crucial for the diagnosis of colorectal diseases. Identifying patients at risk of inadequate BP...
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Assessing the diagnostic utility of the Gaucher Earlier Diagnosis Consensus (GED-C) scoring system using real-world data
BackgroundGaucher disease (GD) is a rare autosomal recessive condition associated with clinical features such as splenomegaly, hepatomegaly, anemia,...
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Machine Learning and Coronary Artery Calcium Scoring
Purpose of ReviewTo summarize current artificial intelligence (AI)-based applications for coronary artery calcium scoring (CACS) and their potential...
