ArticleThe international journal of cardiovascular imaging2015
Automatic detection and quantification of the Agatston coronary artery calcium score on contrast computed tomography angiography.
Article in The international journal of cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Quantification of arterial calcification in peripheral artery disease and its association with amputation and/or mortality: A systematic review.Vascular medicine (London, England) · 2025Pooled it
- Coronary Artery Calcification Under Statin Therapy and Its Effect on Cardiovascular Outcomes: A Systematic Review and Meta-Analysis.Frontiers in cardiovascular medicine · 2020Pooled it
- Trial
- Association of Cardiac and Pulmonary CT Imaging Features with Respiratory Side Effects After Whole-Breast Radiotherapy.Cancers · 2026Article
- Article
- Cholesterol 7 alpha-hydroxylase (Biomolecules & biomedicine · 2025Article
- Efficacy of Coronary Calcium Score in Predicting Coronary Artery Morphology in Patients With Obstructive Coronary Artery Disease.Journal of the Society for Cardiovascular Angiography & Interventions · 2024Article
- A fully automated deep learning approach for coronary artery segmentation and comprehensive characterization.APL bioengineering · 2024Article
- Combined CT Coronary Artery Assessment and TAVI Planning.Diagnostics (Basel, Switzerland) · 2023Review
- Deep Learning-Based Automated Quantification of Coronary Artery Calcification for Contrast-Enhanced Coronary Computed Tomographic Angiography.Journal of cardiovascular development and disease · 2023Article
- Serum NT-pro-BNP Levels Predict Cardiovascular Events in Acromegaly Patients.Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association · 2022Article
- An automated quantification method for the Agatston coronary artery calcium score on coronary computed tomography angiography.Quantitative imaging in medicine and surgery · 2022Article
- Machine Learning and Coronary Artery Calcium Scoring.Current cardiology reports · 2020Review
- Coronary artery CT calcium score assessed by direct calcium quantification using atomic absorption spectroscopy and compared to macroscopic and histological assessments.International journal of legal medicine · 2019Article
- Application of cardiovascular virtual endoscopy: a pilot study on roaming path planning for diagnosis of congenital heart diseases in children.Scientific reports · 2018Article
- Role of Coronary Calcium for Risk Stratification and Prognostication.Current treatment options in cardiovascular medicine · 2017Review
- Addressing Knowledge Gaps in the 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: a Review of Recent Coronary Artery Calcium Literature.Current atherosclerosis reports · 2017Review
- Cardiovascular imaging 2014 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2015Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Potentially, Agatston coronary artery calcium (CAC) score could be calculated on contrast computed tomography coronary angiography (CTA). This will make a separate non-contrast CT scan superfluous. This study aims to assess the performance of a novel fully automatic algorithm to detect and quantify the Agatston CAC score in contrast CTA images. From a clinical registry, 20 patients were randomly selected for each CAC category (i.e. 0, 1-99, 100-399, 400-999, ≥1,000). The Agatston CAC score on non-contrast CT was calculated manually, while the novel algorithm was used to automatically detect and quantify Agatston CAC score in contrast CTA images. The resulting Agatston CAC scores were validated against the non-contrast images. A total of 100 patients (60 ± 11 years, 63 men) were included. The median CAC score on non-contrast CT was 145 (IQR 5-760), whereas the contrast CTA CAC score was 170 (IQR 23-594) (P = 0.004). The automatically computed CAC score showed a high correlation (R = 0.949; P < 0.001) and intra-class correlation (R = 0.863; P < 0.001) with non-contrast CT CAC score. Moreover, agreement within CAC categories was good (κ 0.588). Fully automatic detection of Agatston CAC score on contrast CTA is feasible and showed high correlation with non-contrast CT CAC score. This could imply a radiation dose reduction and time saving by omitting the non-contrast scan.
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Registered trials
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