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Updated: May 1, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Distribution of coronary calcifications in patients with suspected coronary heart disease
Franz von Ziegler1, Martin Greif1, Janine Tittus1
1University of Munich, Department of Cardiology, Campus Grosshadern, Munich, Germany.
Background:
Coronary calcifications are a marker of coronary atherosclerosis. The role of coronary calcium scoring (CS) as part of the initial evaluation of patients with suspected coronary heart disease (CHD) is controversially discussed. The primary goal of this study was to characterize the coronary calcium distribution in this particular patient population. In a second step, we aimed to establish a possible clinical implication using CS for the diagnosis of CHD.
Methods:
Calcium scoring procedure was performed by either using a multidetector or a dual-source computed tomographic scanner. All patients underwent invasive coronary angiography (ICA) as the current criterion standard for CHD detection. A total of 4,137 (2,780 men, mean age 60.5 ± 12.4 years) consecutive patients were included.
Results:
Mean CS was 288 ± 446 (range 0-5,252). Overall coronary artery calcifications significantly increased with patients' age. In 2,048 patients (mean CS 101 ± 239, range 0-5252), significant CHD (≥50% stenosis) was excluded by ICA (1,939 patients without calcifications). In remaining 2,089 patients (51%, mean CS 607 ± 821, range 0-5,252), significant CHD was documented leading to intervention in 732 patients. A threshold of zero calcifications (existence of calcified tissue) had the best overall sensitivity and negative predictive value with 99%. Overall specificity with 34% and overall positive predictive value with 24% were rather low.
Conclusion:
Coronary calcium scoring is able to exclude significant CHD in patients with suspected CHD with a high negative predictive value and, therefore, possibly reduce the number of invasive diagnostic examinations. Because of the low specificity and positive predictive value, CS cannot be used to indicate ICA.
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