Coronary artery calcium assessed with calibrated mass scoring in asymptomatic individuals: results from the Copenhagen General Population Study

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Andreas D. Knudsen, Andreas Fuchs, J. Tobias Kühl, Ben A. Arnold, Børge G. Nordestgaard, Lars V. Køber, Klaus F. Kofoed

Background: Coronary artery calcification (CAC) is commonly assessed with Agatston score (AS). A higher sensitivity and precision for the detection of CAC has been demonstrated with calibrated mass score (cMS). We hypothesized that cMS would detect low-level CAC not detectable with AS in a large asymptomatic background population. Methods: Participants (N = 2985) from the Copenhagen General Population Study were evaluated for CAC using both conventional AS and cMS. The population was grouped according to number of traditional risk factors and heart score was used to assess the risk of event for those with no CAC, those with only cMS > 0 and those with both AS and cMS > 0. Results: In participants with an AS = 0, 11% had cMS > 0. The risk profile of this cMS-only group was between that of the CAC-negative participants and those with AS > 0 and cMS > 0. Overall, 6% of the population belonged to the cMS-only group independent of the number of risk factors. Conclusion: In individuals with AS = 0, a fraction was found to have cMS > 0. Based on traditional risk factors, this group has a higher 10-year risk than individuals with both AS = 0 and cMS = 0; cMS might offer very early cardiovascular risk assessment in asymptomatic individuals. Key Points: • In individuals with AS=0, a fraction has CAC with highly sensitive cMS. • This fraction has a higher 10-year risk of cardiovascular disease. • Regardless of risk factors, 6% has CAC detectable only with cMS. • cMS might offer very early cardiovascular risk assessment in asymptomatic individuals.

Original languageEnglish
JournalEuropean Radiology
Issue number11
Pages (from-to)4607-4614
Number of pages8
Publication statusPublished - 2018

    Research areas

  • Cardiac imaging techniques, Coronary artery disease, Cross-sectional studies, Multidetector computed tomography, Risk assessment

ID: 218474844