Cited by 44Cardiac Imaging and DiagnosticsHealth Promotion and Cardiovascular PreventionCardiac Valve Diseases and Treatments

Opportunistic Detection of Coronary Artery Calcium on Noncardiac Chest Computed Tomography: An Emerging Tool for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association

Open access
Foraker, Randi, Sperling, Laurence, Bratzke, Lisa, Budoff, Matthew, Leppert, Michelle, Razavi, Alexander C., Rodriguez, Fatima, Shapiro, Michael D. +4 more·2025·Circulation

Abstract

Coronary artery calcium (CAC) is a marker of subclinical atherosclerosis that confers increased risk of atherosclerotic cardiovascular disease. Measured by noncontrast cardiac computed tomography, CAC improves risk stratification beyond traditional risk factors and can aid decision-making for allocation of preventive treatments. Although national guidelines recommend consideration of CAC measurement for >17 million individuals in the United States with borderline to intermediate 10-year atherosclerotic cardiovascular disease risk, adoption has been limited. A promising approach to bridge this gap is opportunistic detection of CAC using non-ECG-gated chest computed tomography scans that are performed for a noncardiac indication. Approximately 19 million non-ECG-gated chest computed tomography scans are performed per year, and reporting opportunistic detection of CAC from these scans can enhance atherosclerotic cardiovascular disease risk stratification without additional radiation exposure, cost, or burden. Estimation of risk by traditional risk factor scoring is underused, and reporting of opportunistic detection of CAC has the potential to alert physicians of risk, independent of guideline-recommended risk calculator use. Advancements in artificial intelligence allow integration of automated CAC quantification into clinical practice. Several artificial intelligence algorithms are in use to improve the likelihood of reporting opportunistic detection of CAC and appropriate allocation of preventive therapies. Systematic approaches are needed to ensure appropriate reporting, interpretation, and action while avoiding unnecessary downstream testing. Implementation that includes tailored preventive care and streamlined care pathways involving multidisciplinary clinical teams including radiology, cardiology, and primary care is essential.

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  • Clinical use of CAC scoring remains low due to limited clinician awareness, inconsistent insurance coverage, and concerns regarding radiation exposure and incidental findings.

    “Despite strong evidence and clear recommendations, clinical use of CAC scoring remains low due to limited clinician awareness, inconsistent insurance coverage, and concerns regarding radiation exposure and incidental findings.5”
  • Evaluating existing non-cardiac chest CT scans for CAC could expand preventive cardiology by leveraging nearly 19 million non-cardiac chest CTs performed annually in the USA, compared with roughly 1 million dedicated CAC scans.

    “Evaluating these existing scans for CAC, termed opportunistic CAC detection, could expand preventive cardiology by leveraging nearly 19 million non-cardiac chest CTs performed annually in the USA, compared with roughly 1 million dedicated CAC scans.5”

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Research works printed but not linked: 8

  1. [42]Chiles C, Duan F, Gladish GW, Association of coronary artery calcification and mortality in the national lung screening trial: A comparison of three scoring methods. Radiology. 2015; 276(1). doi: 10.1148/radiol.15142062 PMC5137795 25759972 · DOI · Paper page
  2. [45]Naghavi M, Reeves AP, Atlas K, Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction. NPJ Digit Med. 2024; 7(1): 309. doi: 10.1038/s41746-024-01308-0 39501071 PMC11538462 · DOI · Paper page
  3. [50]Cainzos-Achirica M, Miedema MD, McEvoy JW, Coronary Artery Calcium for Personalized Allocation of Aspirin in Primary Prevention of Cardiovascular Disease in 2019. Circulation. 2020; 141(19). doi: 10.1161/circulationaha.119.045010 PMC7217722 32233663 · DOI · Paper page
  4. [55]Muhlestein JB, Knowlton KU, Le VT, Coronary Artery Calcium Versus Pooled Cohort Equations Score for Primary Prevention Guidance. JACC Cardiovasc Imaging. 2022; 15(5): 843– 855. doi: 10.1016/j.jcmg.2021.11.006 34922872 · DOI · Paper page
  5. [64]Amett DK, Blumenthal RS, Albert MA, 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines ∣ Journal of the American College of Cardiology. J Am Coll Cardiol. 2019; 74(10): e177– e232. doi: 10.1161/CIR.0000000000000678 30894318 PMC7685565 · DOI · Paper page
  6. [66]McEvoy JW, Martin SS, Dardari ZA, Coronary Artery Calcium to Guide a Personalized Risk-Based Approach to Initiation and Intensification of Antihypertensive Therapy. Circulation. 2017; 135(2): 153– 165. doi: 10.1161/CIRCULATIONAHA.116.025471 27881560 PMC5225077 · DOI
  7. [67]Mortensen MB, Dzaye O, Razavi AC, Association between REDUCE-IT criteria, coronary artery disease severity, and cardiovascular events: the Western Denmark Heart Registry ∣ European Journal of Preventive Cardiology ∣ Oxford Academic. Eur J Prev Cardiol. 2022; 29(13): 1802– 1810. doi: 10.1093/eurjpc/zwac104 35653637 · DOI
  8. [69]J MD, J BM, C SJ, Coronary Artery Calcium Staging to Guide Preventive Interventions. JACC: Advances. 2024; 3(11): 101287. doi: 10.1016/j.jacadv.2024.101287 39385944 PMC11462328 · DOI · Paper page

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Authors
Foraker, R., Sperling, L., Bratzke, L., Budoff, M., Leppert, M., Razavi, A. C., Rodriguez, F., Shapiro, M. D., Whelton, S., Wong, N. D., Yang, E., & on behalf of the American Heart Association Prevention Science Committee of the Council on Epidemiology and Prevention and Council on Cardiovascular and Stroke Nursing; Council on Clinical Cardiology; and Council on Cardiovascular Radiology and Intervention
Venue
Circulation
Published
2025-11-11
Volume
152
Issue
19
Pages
e391-e401
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W4415265522
Cited by
44
References
63
Citations by year
2026: 41 · 2025: 3
FWCI
6.94
Type
journal article
Language
en
Open access
Locations
  • Circulation (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Heart, Lung, and Blood Institute (R01HL169345)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Valve Diseases and Treatments
Keywords
coronary artery calcium, atherosclerotic cardiovascular disease, subclinical atherosclerosis, cardiovascular risk stratification, artificial intelligence, risk calculator, multidisciplinary care pathway
MeSH terms
Computed Tomography Angiography, American Heart Association, Cardiovascular Diseases, Coronary Artery Disease, Coronary Vessels, Humans, Risk Factors, Tomography, X-Ray Computed, United States, Risk Assessment, Vascular Calcification

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