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CT-based abdominal aortic calcification score as a surrogate marker for predicting the presence of asymptomatic coronary artery disease

 Chansik An  ;  Hye-Jeong Lee  ;  Hye Sun Lee  ;  Sung Soo Ahn  ;  Byoung Wook Choi  ;  Myeong-Jin Kim  ;  Yong Eun Chung 
 EUROPEAN RADIOLOGY, Vol.24(10) : 2491-2498, 2014 
Journal Title
Issue Date
Adult ; Aged ; Aged, 80 and over ; Aorta, Abdominal/diagnostic imaging* ; Aortic Diseases/complications ; Aortic Diseases/diagnostic imaging* ; Coronary Angiography/methods* ; Coronary Artery Disease/diagnostic imaging* ; Coronary Artery Disease/etiology ; Female ; Follow-Up Studies ; Humans ; Imaging, Three-Dimensional ; Male ; Middle Aged ; ROC Curve ; Reproducibility of Results ; Retrospective Studies ; Tomography, X-Ray Computed/methods* ; Vascular Calcification/complications ; Vascular Calcification/diagnostic imaging*
Abdominal aorta ; Vascular calcification ; Computed tomography ; Coronary angiography ; Atherosclerosis
OBJECTIVES: To assess the value of a CT-based abdominal aortic calcification (AAC) score as a surrogate marker for the presence of asymptomatic coronary artery disease (CAD). METHODS: The AAC scores of 373 patients without cardiac symptoms who underwent both screening coronary CT angiography and abdominal CT within one year were calculated according to the Agatston method. Logistic regression was used to derive two multivariate models from traditional cardiovascular risk factors, with and without AAC scores, to predict the presence of CAD. The AAC score and the two multivariate models were compared by calculating the area under the receiver operating characteristic curve (AUC) and the net reclassification improvement (NRI). RESULTS: The AAC score alone showed a marginally higher AUC (0.823 vs. 0.767, P = 0.061) and significantly better risk classification (NRI = 0.158, P = 0.048) than the multivariate model without AAC. The multivariate model using traditional factors and AAC did not show a significantly higher AUC (0.832 vs. 0.823, P = 0.616) or NRI (0.073, P = 0.13) than the AAC score alone. The optimal cutoff value of the AAC score for predicting CAD was 1025.8 (sensitivity, 79.5 %; specificity, 75.9 %). CONCLUSIONS: AAC scores may serve as a surrogate marker for the presence or absence of asymptomatic CAD.
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1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Myeong Jin(김명진) ORCID logo https://orcid.org/0000-0001-7949-5402
Ahn, Sung Soo(안성수) ORCID logo https://orcid.org/0000-0002-0503-5558
An, Chansik(안찬식) ORCID logo https://orcid.org/0000-0002-0484-6658
Lee, Hye Sun(이혜선) ORCID logo https://orcid.org/0000-0001-6328-6948
Lee, Hye Jeong(이혜정) ORCID logo https://orcid.org/0000-0003-4349-9174
Chung, Yong Eun(정용은) ORCID logo https://orcid.org/0000-0003-0811-9578
Choi, Byoung Wook(최병욱) ORCID logo https://orcid.org/0000-0002-8873-5444
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