Abstract
This study was performed in a single center and written informed consent was obtained from all patients. Thirty-one consecutive patients (26 men/5 women) underwent CT calcium score to rule out CAC. Image data were reconstructed with both; filtered back projection (FBP) and different levels of IR algorithms. Both the qualitative and quantitative image quality and subjective diagnostic performance were compared; Agatston scores and calcium density were measured for a total of 100 coronary arteries.
Highlights
Coronary artery disease (CAD) is the leading cause of morbidity and mortality in most developed countries throughout the world [1,2]
iterative reconstruction (IR) resulted in substantial noise reduction and improved in both signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR)
Higher levels of IR might lead to disappearance or underestimation of detectable calcium in coronary arteries with low calcium burden
Summary
Coronary artery disease (CAD) is the leading cause of morbidity and mortality in most developed countries throughout the world [1,2]. Quantification of coronary artery calcification (CAC) has been shown to be reliable, reproducible, and predictive of cardiovascular risk [7,8,9,10,11,12,13,14]. The extent of coronary artery calcification is strongly correlated with the degree of atherosclerotic disease and the rate of future cardiac events [15,16]. The Agatston score has been defined by Agatston and Janowitz and dates back into the 1980s [20]. This score still represents the most common established method for CCS quantification [21,22,23]
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