Preview

City Healthcare

Advanced search

Clinical and Economic Considerations of CT Coronary Calcium Screening and Its Role in Integrated BIG 3 Preventive Strategies

https://doi.org/10.47619/2713-2617.zm.2026.v.7i2;71-88

Abstract

Introduction. Asymptomatic individuals account for almost 34% of all atherosclerosis-related deaths. Prognostic data says that cardiovascular diseases, chronic obstructive pulmonary disease, and lung cancer will continue to dominate the overall structure of causes of death until 2050. These conditions form the Big-3 Group, imposing a significant socioeconomic burden on the healthcare systems of most countries. CT-based methods enable the diagnosis of Big-3 diseases at the latent stage. It is suggested that single screening for multiple diseases (Big-3 screening) performed within one chest CT scan session improves the efficiency of examination at minimal additional cost. The economic potential of Big-3 screening has been demonstrated in early-stage technology assessments. Materials and methods. The authors analyzed CT innovations for coronary calcium scans, current AI-driven approaches to integrating combined protocols for CT imaging, and clinical effectiveness and cost-effectiveness of implementing these tools. Results. Advanced technology, such as dual-source computed tomography (DSCT) and photon-counting computed tomography (PCCT), showed a high reproducibility of coronary calcium screening results. These techniques allow the reliable evaluation of calcium score using the protocol for non-ECG-gated low-dose computed tomography (LDCT). Medical centers not equipped with high-resolution CT scanners can use AI algorithms instead. Such algorithms enhance the automatic grading of coronary calcium severity while also assessing the quality of images, validating the reliability of results, and making decisions on next steps in the patient journey, including further standard imaging tests. Conclusion. The optimization of protocols for CT screening, as well as patient inclusion and exclusion criteria, must be guided by the results of clinical trials and mathematical modeling. This will balance clinical and economic benefits against iatrogenic risks, thereby establishing the feasibility of coronary artery calcium screening within BIG-3-type strategies.

About the Authors

D. A. Andreev
Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department
Russian Federation

Dmitry A. Andreev – Cand. Sci. in Medicine, Analyst of the Research Institute for Healthcare Organization and Medical Management of Moscow Healthcare Department.

9, Sharikopodshipnikovskaya ul., 115088, Moscow



A. A. Zavyalov
State Research Center – Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency (SRC – FMBC)
Russian Federation

Aleksander A. Zavyalov – D. Sci. in Medicine, Professor, Head of the Oncology Center, State Research Center – Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency (SRC – FMBC).

23, Marshal Novikov ul., 123098, Moscow



References

1. Muhlestein J.B., Knowlton K.U., Le V.T. et al. Coronary Artery Calcium Versus Pooled Cohort Equations Score for Primary Prevention Guidance. JACC: Cardiovascular Imaging. 2022;15(5):843-855. https://doi.org/10.1016/j.jcmg.2021.11.006

2. Gómez-Díaz D., Díez-Villanueva P., López-Melgar B. et al. Role of Coronary Artery Calcium Score CT in Risk Stratification of Asymptomatic Individuals. Journal of Cardiovascular Development and Disease. 2025;12(11):442. https://doi.org/10.3390/jcdd12110442

3. Xia C., Rook M., Pelgrim G.J. et al. Early imaging biomarkers of lung cancer, COPD and coronary artery disease in the general population: rationale and design of the ImaLife (Imaging in Lifelines) Study. European Journal of Epidemiology. 2020;35(1):75-86. https://doi.org/10.1007/s10654-019-00519-0

4. Heuvelmans M.A., Vonder M., Rook M. et al. Screening for Early Lung Cancer, Chronic Obstructive Pulmonary Disease, and Cardiovascular Disease (the Big-3) Using Low-dose Chest Comp-uted Tomography. Journal of Thoracic Imaging. 2019;34(3):160-169. https://doi.org/10.1097/RTI.0000000000000379

5. Spinnato P. Low-Dose Computed Tomography Screening Proposal for the “Big-3 Diseases”: Lung Cancer, Chronic Obstructive Pulmonary Disease, and Cardiovascular Disease. Academic Radiology. 2021;28(1):46-48. https://doi.org/10.1016/j.acra.2020.07.035

6. Ravara S. Efficiency and cost-effectiveness of lung cancer screening: is combined screening of Big-3 diseases a major opportunity? European Radiology. 2024;35(6):2932-2934. https://doi.org/10.1007/s00330-024-11179-4

7. Jiang B., Linden P.A., Gupta A. et al. Conventional Computed Tomographic Calcium Scoring vs full chest CTCS for lung cancer screening: a cost-effectiveness analysis. BMC Pulmonary Medicine. 2020;20(1):187. https://doi.org/10.1186/s12890-020-01221-8

8. Fentanes E., Cainzos Achirica M., Nasir K. et al. The Role of Coronary Artery Calcium Testing for Value-Based Clinical Trials in Primary Prevention. Current Atherosclerosis Reports. 2021;23(12):73. https://doi.org/10.1007/s11883-021-00969-6

9. de Koning H.J., van der Aalst C.M., de Jong P.A. et al. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial. New England Journal of Medicine. 2020;382(6):503-513. https://doi.org/10.1056/NEJMoa1911793

10. Behr C.M., Oude Wolcherink M.J., IJzerman M.J. et al. Population-Based Screening Using Low-Dose Chest Computed Tomography: A Systematic Review of Health Economic Evaluations. PharmacoEconomics. 2023;41(4):395-411. https://doi.org/10.1007/s40273-022-01238-3

11. Silverman M.G., Blaha M.J., Krumholz H.M. et al. Impact of coronary artery calcium on coronary heart disease events in individuals at the extremes of traditional risk factor burden: the Multi-Ethnic Study of Atherosclerosis. European Heart Journal. 2014;35(33):2232-2241. https://doi.org/10.1093/eurheartj/eht508

12. van der Bijl P., Kuneman J., Bax J.J. Coronary artery calcium scoring in the general population. European Heart Journal – Cardiovascular Imaging. 2022;24(1):36-37. https://doi.org/10.1093/ehjci/jeac201

13. Mohan J., Shams P., Bhatti K. et al. Coronary Artery Calcification. StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025. Available from: https://www.ncbi.nlm.nih.gov/books/NBK519037/ (Accessed 2025 Dec 16).

14. Madhavan M.V., Tarigopula M., Mintz G.S. et al. Coronary Artery Calcification: Pathogenesis and Prognostic Implications. Journal of the American College of Cardiology. 2014;63(17):1703-1714. https://doi.org/10.1016/j.jacc.2014.01.017

15. Agatston A.S., Janowitz W.R., Hildner F.J. et al. Quantification of coronary artery calcium using ultrafast computed tomography. Journal of the American College of Cardiology. 1990;15(4):827-832. https://doi.org/10.1016/0735-1097(90)90282-T

16. Lee E., Koh S., Sia C.-H. Coronary artery calcium scoring in primary care. Singapore Medical Journal. 2025;66(3):163-166. https://doi.org/10.4103/singaporemedj.SMJ-2024-211

17. Willemink M.J., van der Werf N.R., Nieman K. et al. Coronary artery calcium: A technical argument for a new scoring method. Journal of Cardiovascular Computed Tomography. 2019;13(6):347-352. https://doi.org/10.1016/j.jcct.2018.10.014

18. Razavi A.C., Agatston A.S., Shaw L.J. et al. Evolving Role of Calcium Density in Coronary Artery Calcium Scoring and Atherosclerotic Cardiovascular Disease Risk. JACC: Cardiovascular Imaging. 2022;15(9):1648-1662. https://doi.org/10.1016/j.jcmg.2022.02.026

19. Blaha M.J., Mortensen M.B., Kianoush S. et al. Coronary Artery Calcium Scoring: Is It Time for a Change in Methodology? JACC: Cardiovascular Imaging. 2017;10(8):923-937. https://doi.org/10.1016/j.jcmg.2017.05.007

20. Walstra A.N.H., Gratama J.W.C., Heuvelmans M.A. et al. Early detection of cardiovascular disease in chest population screening: challenges for a rapidly emerging cardiac CT application. British Journal of Radiology. 2025;98(1175):1912-1922. https://doi.org/10.1093/bjr/tqaf195

21. Eberhard M., Mergen V., Higashigaito K. et al. Coronary Calcium Scoring with First Generation Dual-Source Photon-Counting CT—First Evidence from Phantom and In-Vivo Scans. Diagnostics. 2021;11(9):1708. https://doi.org/10.3390/diagnostics11091708

22. Schwartz F.R., Daubert M.A., Molvin L. et al. Coronary Artery Calcium Evaluation Using New Generation Photon-counting Computed Tomography Yields Lower Radiation Dose Compared With Standard Computed Tomography. Journal of Thoracic Imaging. 2023;38(1):44-45. https://doi.org/10.1097/RTI.0000000000000685

23. Vonder M., Pelgrim G.J., Huijsse S.E.M. et al. Coronary artery calcium quantification on first, second and third generation dual source CT: A comparison study. Journal of Cardiovascular Computed Tomography. 2017;11(6):444-448. https://doi.org/10.1016/j.jcct.2017.09.002

24. Vonder M., van der Aalst C.M., Vliegenthart R. et al. Coronary Artery Calcium Imaging in the ROBINSCA Trial. Academic Radiology. 2018;25(1):118-128. https://doi.org/10.1016/j.acra.2017.07.010

25. van der Aalst C.M., Denissen S.J.A.M., Vonder M. et al. Screening for cardiovascular disease risk using traditional risk factor assessment or coronary artery calcium scoring: the ROBINSCA trial. European Heart Journal – Cardiovascular Imaging. 2020;21(11):1216-1224. https://doi.org/10.1093/ehjci/jeaa168

26. Dey D., Nakazato R., Pimentel R. et al. Low radiation coronary calcium scoring by dual-source CT with tube current optimization based on patient body size. Journal of Cardiovascular Computed Tomography. 2012;6(2):113-120. https://doi.org/10.1016/j.jcct.2011.12.008

27. Groen J.M., Greuter M.J.W., Vliegenthart R. et al. Calcium scoring using 64-slice MDCT, dual source CT and EBT: a comparative phantom study. International Journal of Cardiovascular Imaging. 2008;24(5):547-556. https://doi.org/10.1007/s10554-007-9282-0

28. Deprez F.C., Vlassenbroek A., Ghaye B. et al. Controversies about effects of low-kilovoltage MDCT acquisition on Agatston calcium scoring. Journal of Cardiovascular Computed Tomography. 2013;7(1):58-61. https://doi.org/10.1016/j.jcct.2012.11.006

29. Budoff M.J., McClelland R.L., Chung H. et al. Reproducibility of Coronary Artery Calcified Plaque with Cardiac 64-MDCT: The Multi-Ethnic Study of Atherosclerosis. American Journal of Roentgenology. 2009;192(3):613-617. https://doi.org/10.2214/AJR.08.1242

30. Groen J.M., Kofoed K.F., Zacho M. et al. Calcium score of small coronary calcifications on multidetector computed tomography: Results from a static phantom study. European Journal of Radiology. 2013;82(2):e58-e63. https://doi.org/10.1016/j.ejrad.2012.09.018

31. Kang E.-J. Clinical Applications of Wide-Detector CT Scanners for Cardiothoracic Imaging: An Update. Korean Journal of Radiology. 2019;20(12):1583. https://doi.org/10.3348/kjr.2019.0327

32. Greuter M.J.W., Dijkstra H., Groen J.M. et al. 64 slice MDCT generally underestimates coronary calcium scores as compared to EBT: A phantom study. Medical Physics. 2007;34(9):3510-3519. https://doi.org/10.1118/1.2750733

33. Groen J.M., Greuter M.J., Schmidt B. et al. The Influence of Heart Rate, Slice Thickness, and Calcification Density on Calcium Scores Using 64-Slice Multidetector Computed Tomography: A Systematic Phantom Study. Investigative Radiology. 2007;42(12):848-855. https://doi.org/10.1097/RLI.0b013e318154c549

34. Budoff M.J., McClelland R.L., Nasir K. et al. Cardiovascular events with absent or minimal coronary calcification: The Multi-Ethnic Study of Atherosclerosis (MESA). American Heart Journal. 2009;158(4):554-561. https://doi.org/10.1016/j.ahj.2009.08.007

35. Bild D.E., Bluemke D.A., Burke G.L. et al. Multi-Ethnic Study of Atherosclerosis: Objectives and Design. American Journal of Epidemiology. 2002;156(9):871-881. https://doi.org/10.1093/aje/kwf113

36. Carr J.J., Nelson J.C., Wong N.D. et al. Calcified Coronary Artery Plaque Measurement with Cardiac CT in Population-based Studies: Standardized Protocol of Multi-Ethnic Study of Atherosclerosis (MESA) and Coronary Artery Risk Development in Young Adults (CARDIA) Study 1. Radiology. 2005;234(1):35-43. https://doi.org/10.1148/radiol.2341040439

37. Vliegenthart R., Oudkerk M., Hofman A. et al. Coronary Calcification Improves Cardiovascular Risk Prediction in the Elderly. Circulation. 2005;112(4):572-577. https://doi.org/10.1161/CIRCULATIONAHA.104.488916

38. Elias-Smale S.E., Proença R.V., Koller M.T. et al. Coronary Calcium Score Improves Classification of Coronary Heart Disease Risk in the Elderly: The Rotterdam Study. Journal of the American College of Cardiology. 2010;56(17):1407-1414. https://doi.org/10.1016/j.jacc.2010.06.029

39. Hofman A., Brusselle G.G.O., Murad S.D. et al. The Rotterdam Study: 2016 objectives and design update. European Journal of Epidemiology. 2015;30(8):661-708. https://doi.org/10.1007/s10654-015-0082-x

40. Tanenbaum S.R., Kondos G.T., Veselik K.E. et al. Detection of calcific deposits in coronary arteries by ultrafast computed tomography and correlation with angiography. American Journal of Cardiology. 1989;63(12):870-872. https://doi.org/10.1016/0002-9149(89)90060-X

41. Golub I.S., Termeie O.G., Kristo S. et al. Major Global Coronary Artery Calcium Guidelines. JACC: Cardiovascular Imaging. 2023;16(1):98-117. https://doi.org/10.1016/j.jcmg.2022.06.018

42. Schwarz E., Tambè V., De Simoni S. et al. Coronary Calcium Scoring as Prediction of Coronary Artery Diseases with Low-Dose Dual-Source CT. Journal of Cardiovascular Development and Disease. 2025;12(11):425. https://doi.org/10.3390/jcdd12110425

43. Andreev D.A., Kamynina N.N. Risk-Oriented Strategy as the Way to Improve the Effectiveness of Cardiovascular Prevention and the Rational Use of Primary Healthcare Resources. City Healthcare. 2025;6(4):86-101. (In Russ.) https://doi.org/10.47619/2713-2617.zm.2025.v.6i4-1;86-101

44. Venkataraman P., Kawakami H., Huynh Q. et al. Cost-Effectiveness of Coronary Artery Calcium Scoring in People With a Family History of Coronary Disease. JACC: Cardiovascular Imaging. 2021;14(6):1206-1217. https://doi.org/10.1016/j.jcmg.2020.11.008

45. van Kempen B.J.H., Spronk S., Koller M.T. et al. Comparative Effectiveness and Cost-Effectiveness of Computed Tomography Screening for Coronary Artery Calcium in Asymptomatic Individuals. Journal of the American College of Cardiology. 2011;58(16):1690-1701. https://doi.org/10.1016/j.jacc.2011.05.056

46. van Kempen B.J.H., Ferket B.S., Steyerberg E.W. et al. Comparing the cost-effectiveness of four novel risk markers for screening asymptomatic individuals to prevent cardiovascular disease (CVD) in the US population. International Journal of Cardiology. 2016;203:422-431. https://doi.org/10.1016/j.ijcard.2015.10.171

47. Scilletta S., Di Marco M., Miano N. et al. Cardiovascular risk profile in subjects with diabetes: Is SCORE2-Diabetes reliable? Cardiovascular Diabetology. 2025;24(1):222. https://doi.org/10.1186/s12933-025-02769-7

48. Virani S.S., Newby L.K., Arnold S.V. et al. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation. 2023;148(9):e9-e119. https://doi.org/10.1161/CIR.0000000000001168

49. Irannejad K., Budoff M. Coronary Calcium Scoring in Diabetes: Recalibrating Cardiovascular Risk in 2025. Journal of Diabetes. 2025;17(12):e70178. https://doi.org/10.1111/1753-0407.70178

50. Behr C., Koffijberg H., IJzerman M. et al. Willingness to participate in combination screening for lung cancer, chronic obstructive pulmonary disease and cardiovascular disease in four European countries. European Radiology. 2023;34(7):4448-4456. https://doi.org/10.1007/s00330-023-10474-w

51. Gendarme S., Maitre B., Hanash S. et al. Beyond lung cancer screening, an opportunity for early detection of chronic obstructive pulmonary disease and cardiovascular diseases. JNCI Cancer Spectrum. 2024;8(5):pkae082. https://doi.org/10.1093/jncics/pkae082

52. de Nijs K., ten Haaf K., Hubert J. et al. Stage- and histology-specific sensitivity for the detection of lung cancer of the NELSON screening protocol—A modeling study. International Journal of Cancer. 2025;157(11):2248-2258. https://doi.org/10.1002/ijc.70045

53. ten Berge H., Willems B., Pan X. et al. Cost-effectiveness analysis of a lung cancer screening program in the Netherlands: a simulation based on NELSON and NLST study outcomes. Journal of Medical Economics. 2024;27(1):1197-1211. https://doi.org/10.1080/13696998.2024.2404359

54. Behr C.M., Koffijberg H., Degeling K. et al. Can we increase efficiency of CT lung cancer screening by combining with CVD and COPD screening? Results of an early economic evaluation. European Radiology. 2022;32(5):3067-3075. https://doi.org/10.1007/s00330-021-08422-7

55. Perandini S., Soardi G., Motton M. et al. Distribution of Solid Solitary Pulmonary Nodules within the Lungs on Computed Tomography: A Review of 208 Consecutive Lesions of Biopsy-Proven Nature. Polish Journal of Radiology. 2016;81:146-151. https://doi.org/10.12659/PJR.895417. Available from: https://pubmed.ncbi.nlm.nih.gov/27103946/


Review

For citations:


Andreev D.A., Zavyalov A.A. Clinical and Economic Considerations of CT Coronary Calcium Screening and Its Role in Integrated BIG 3 Preventive Strategies. City Healthcare. 2026;7(2):71-88. (In Russ.) https://doi.org/10.47619/2713-2617.zm.2026.v.7i2;71-88

Views: 10

JATS XML

ISSN 2713-2617 (Online)