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[Study on the accuracy of dual source computed tomography coronary angiography in detection of coronary artery stenoses in old patients].

Authors :
Luo F
Liu C
Zhu Y
Deng JL
Wu JH
Ding QF
Zhang J
Zhang QQ
Source :
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition [Sichuan Da Xue Xue Bao Yi Xue Ban] 2010 Nov; Vol. 41 (6), pp. 1029-33.
Publication Year :
2010

Abstract

Objective: To investigate the accuracy of dual source computed tomography (DSCT) coronary angiography in detecton of coronary artery stenoses in patients older than 60 years.<br />Methods: The study was performed in 102 patients older than 60 years who were suspected of coronary artery stenoses, and without any contraindications to CT Scan and iodnated contrast agents. These patients underwent DSCT, as well as selective coronary angiography (SCA). All the data of DSCT were compared with the results of SCA which were regarded as gold standard to assess the sensitivity, specificity, positive predictive value, negative predictive value and accuracy of DSCT in classifying coronary artery stenoses in old patients.<br />Results: In these 102 patients, DSCT indicated 56 patients with coronary artery stenoses and SCA indicated 52 patients. DSCT correctly classified 51 patients out of 52 patients who had significant coronary artery stenoses. The sensitivity of DSCT was 98.1%, specificity was 90.0%, positive predictive value was 91.1%, negative predictive value was 97.8%, and accuracy was 94.1%. DSCT also assessed and measured 408 lesions in all the patients. The sensitivity of DSCT was 95.8%, specificity was 96.2%, positive predictive value was 88.5%, negative predictive value was 98.7%, and accuracy was 96.1%.<br />Conclusion: DSCT appears to be a useful method for the detection of coronary artery stenoses with a high accuracy in elder patients more than 60-year.

Details

Language :
Chinese
ISSN :
1672-173X
Volume :
41
Issue :
6
Database :
MEDLINE
Journal :
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Publication Type :
Academic Journal
Accession number :
21265109