Author/Authors :
Koç, Fatma Ankara Egitim ve Arastirma Hastanesi - Radyoloji Bölümü, Turkey , Ergün, Elif Ankara Egitim ve Arastirma Hastanesi - Radyoloji Bölümü, Turkey , Yilmaz, Ömer Süleyman Demirel Üniversitesi - Tip Fakültesi - Radyoloji AD, Turkey , Kosar, Pinar Ankara Egitim ve Arastirma Hastanesi - Radyoloji Bölümü, Turkey , Kosar, Ugur Ankara Egitim ve Arastirma Hastanesi - Radyoloji Bölümü, Turkey
Title Of Article :
To compare the value of coronary calcium scoring in predicting coronary artery disease determined by 64- slice Computed Tomography Angiography with traditional risk factors of coronary artery disease
Abstract :
Aim: Purpose of the present study is to evaluate the value of coronary calcium scoring in predicting the presence and extent coronary artery diseae (CAD) determined by 64-slice Computed tomography angiography (CTA) and to compare it with the traditional risk factors of CAD. Material-Method: 545 cases 250 (45.9%) male and 295 (54.1%) female) were included in the study. A non-enhanced CT scan was obtained for calcium scoring immediately before CTA in all cases. CT examinations were performed by 64-slice scanner (Toshiba, Aquillon 64, Toshiba Medical Systems, Otowara, Japan). ROC analysis was performed to determine the predictive value of coronary calcium scoring and multivariate logistic regression analysis was performed to compare it with the predictive value of traditional risk factors. Results: The ROC analysis demonstrated that coronary calcium scoring which has an area under the curve ( AUC) of 0.833, has a high perfromance in predicting stenotic disease determined by 64- slice CTA. Age, male gender, menopause, DM and HT were the variables which had statistically sgnificant effect on differentiating the non-obstructive and obstructive CAD. The role of coronary calcium scoring in predicting obstructive CAD was found to be independent from the traditional risk factors. Of the 301 cases with 0 score 83 (27.6%) had CAD according to coronary CTA. Conclusion: Coronary calcium scoring is a valuable method in predicting the presence and extent of CAD determined by 64-slice CTA. Its predictive value is independent and incremental to the traditional risk factors. However 0 CAC score does not exclude the disease.
NaturalLanguageKeyword :
Coronary calcium scoring , 64 , slice Computed Tomography Angiography , Coronary artery disease
JournalTitle :
Medical Journal Of Suleyman Demirel University