Diagnostic Accuracy of 64-Slice Computed Tomography for Detecting Angiographically Significant Coronary Artery Stenosis in an Unseiected Consecutive Patient Population : Comparison With Conventional Invasive Angiography(CLINICAL INVESTIGATION)

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Background Multislice computed tomography (MSCT) is a promising noninvasive method of detecting coronary artery disease (CAD). However, most data have been obtained in selected series of patients. The purpose of the present study was to investigate the accuracy of 64-slice MSCT (64 MSCT) in daily practice, without any patient selection. Methods and Results Using 64-slice MSCT coronary angiography (CTA), 69 consecutive patients, 39 (57%) of whom had previously undergone stent implantation, were evaluated. The mean heart rate during scan was 72beats/min, scan time 13.6s and the amount of contrast media 72mL. The mean time span between invasive coronary angiography (ICAG) and CTA was 6 days. Significant stenosis was defined as a diameter reduction of >50%. Of 966 segments, 884 (92%) were assessable. Compared with ICAG, the sensitivity of CTA to diagnose significant stenosis was 90%, specificity 94%, positive predictive value (PPV) 89% and negative predictive value (NPV) 95%. With regard to 58 stented lesions, the sensitivity, specificity, PPV and NPV were 93%, 96%, 87% and 98%, respectively. On the patient-based analysis, the sensitivity, specificity, PPV and NPV of CTA to detect CAD were 98%, 86%, 98% and 86%, respectively. Eighty-two (8%) segments were not assessable because of irregular rhythm, calcification or tachycardia. Conclusion Sixty-four-MSCT has a high accuracy for the detection of significant CAD in an unselected patient population and therefore can be considered as a valuable noninvasive technique.
社団法人日本循環器学会の論文
2006-04-20

Diagnostic Accuracy of 64-Slice Computed Tomography for Detecting Angiographically Significant Coronary Artery Stenosis in an Unseiected Consecutive Patient Population : Comparison With Conventional Invasive Angiography(CLINICAL INVESTIGATION)

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