The role of coronary artery calcium scoring in the prediction of coronary artery disease based on non-contrast non-cardiac chest CT scans in airline pilots
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background The aim of the present study was to explore the value of coronary artery calcium score (CACS) using non-gated, non-contrast chest computed tomography (NCCT) to predict coronary artery disease (CAD) in airline pilots. Methods Pilots with coronary calcification found on NCCT were consecutively enrolled into this study. All received a coronary computed tomography angiography (CCTA) examination. The coronary artery calcium score (CACS) was evaluated on NCCT using the Agatston method. CCTA images were analyzed using a semi-automated software. Coronary Artery Disease Reporting and Data System (CAD-RADS) scoring categorized coronary stenosis. Results A total of 217 male pilots were included, of which 49 were diagnosed with significant CAD (CAD-RADS category 3 or higher). Pilots with significant CAD had much higher CACS (324.28 ± 389.02 vs. 39.16 ± 68.88; p < 0.001). Plaque volumetric measurements showed that total plaque volume (1,103.50 ± 285.51 mm3 vs. 913.18 ± 277.45 mm3; p < 0.001) and calcified plaque volume (149.77 ± 160.71 mm3 vs. 36.42 ± 26.86 mm3; p < 0.001) were more pronounced in individuals in the significant CAD group than those in the non-significant CAD group. A multivariate analysis demonstrated that CACS (odds ratio 1.01; 95% confidence interval 1.005–1.014; p < 0.001) was the only independent risk factor of significant CAD but traditional cardiovascular risk factors, pre-existing medication regimens, or prolonged flight duration were not. CACS positively correlated with total plaque volume (r = 0.156; p = 0.027) and calcified plaque volume (r = 0.434; p < 0.001). Receiver operating characteristic curve analysis showed the area under the curve for the CACS in diagnosing significant CAD was 0.891 (p < 0.001). Conclusions CACS assessed using NCCT was significantly associated with CAD-RADS category 3 or higher, as confirmed by CCTA, which indicates that it may serve as a robust predictor for diagnosing significant CAD among airline pilots.
Authors: Lin Zhang, Li Li Liu, Zheng Bin Zhu, Yan Xu, Kai Chen, Qing Qing Duan, Yu Kai Li, Jie Gao, Meng Song, Qiu Yu Shen, Shao Jie Zhu, Qing Qing Jin, Jian Ping Wen, Shuo Feng, Ying Lu, Run Du, Bin Ren, Rui Yan Zhang
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4409746704
