ReviewRadiology. Cardiothoracic imaging2025
Coronary Artery Calcium Scoring on Dedicated Cardiac CT and Noncardiac CT Scans.
Review in Radiology. Cardiothoracic imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Tailoring Calcium Scores to the Race of a Nation Not a Region.Journal of the American Heart Association · 2026Article
- A Novel Fully Automated Deep Learning Model for Coronary Artery Calcification Detection on Computed Tomography.Diagnostics (Basel, Switzerland) · 2026Article
- The subclinical atherosclerosis clinic: Operationalizing opportunistic detection into cardiovascular preventive care.American journal of preventive cardiology · 2026Article
- Coronary artery calcium scoring in 2026: strengths, limitations, and optimized clinical use.Frontiers in radiology · 2026Review
- Multimodal Detection of Subclinical Cardiovascular Disease in Chronic Kidney Disease.Cardiorenal medicine · 2026Review
- Mechanisms of Inflammation Chronification: Gene and Epigenetic Regulation of Intolerant Response (Trained Immunity).Current medicinal chemistry · 2026Article
- Predictive value of coronary artery calcification for osteoporosis in COPD patients: a retrospective AI-based study.Frontiers in medicine · 2026Article
- Management of Calcified Coronary Lesions-A Review of Plaque Modification Methods.Journal of clinical medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Coronary artery calcium (CAC) is a specific marker of subclinical coronary atherosclerosis and is strongly associated with short- and long-term atherosclerotic cardiovascular disease (ASCVD) risk. Although noncontrast electrocardiographically gated cardiac CT is the reference standard for quantification of CAC (approximately 1 mSv), studies have shown that CAC can also be qualitatively interpreted and quantified on noncardiac chest CT scans with similar prognostic value. While use of dedicated CAC scans is increasing, measurement of incidental CAC represents a major untapped opportunity for ASCVD prevention, given that nearly 20 times more chest CT examinations are performed annually in the United States than dedicated CAC scans. Incidental measurement of CAC at chest CT incurs no additional cost or radiation for patients and can identify those with significant CAC burden who may be inadequately treated with ASCVD risk reduction therapies. This review outlines the fundamentals of CAC scoring, with a focus on detection and quantification of incidental CAC. It details the technical approaches and challenges of incidental CAC assessment and provides recommendations for routine reporting, clinical advisories, and subsequent patient management. The review also presents first-hand experiences from a large academic medical center's initiative to standardize incidental CAC reporting. Future directions include the use of artificial intelligence to automate both basic and advanced CAC interpretation.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.