title: Comparison of diagnostic accuracy of 64-slice computed tomography coronary angiography in patients with low, intermediate, and high cardiovascular risk.
abstract: OBJECTIVE
  The aim of this study was to compare the diagnostic accuracy of 64-slice computed tomographic coronary angiography (CTCA) in groups of patients with low, intermediate, and high risk for coronary artery disease (CAD) events.
  
  
  METHODS
  The institutional review board approved this study; written informed consent was obtained from all patients. Eighty-eight consecutive patients with suspected CAD (40 women; mean age, 64.3 +/- 9.4 years; range, 39-82) underwent CTCA, calcium scoring, and invasive coronary angiography and were grouped according to their Framingham 10-year risk for hard coronary events into low (<10%), intermediate (10%-20%), and high (>20%) risk categories. Significant stenoses (luminal diameter narrowing > or =50%) were assessed on an intention-to-diagnose-basis; no coronary segment was excluded and nonevaluative segments were rated false positive. To determine differences between groups, Kruskal-Wallis tests were performed for individually determined values of diagnostic performance.
  
  
  RESULTS
  Per-patient sensitivity, specificity, negative predictive, and positive predictive values were 90.0%, 79.2%, 95.0%, and 64.3%, respectively, with low (n = 34), 87.5%, 92.3%, 85.7%, and 93.3%, respectively, with intermediate (n = 29), and 100%, 75.0%, 100%, and 89.5%, respectively, with high risk (n = 25), with a trend toward higher positive predictive value (P = .07). Per-segment negative predictive value was lower with high pretest probability (P < .01). Mean calcium-score units were 90, 220, and 312 (P = .23), and the prevalence of CAD was 29.4%, 55.2%, and 68.0% (P < .01) with low, intermediate, and high risk.
  
  
  CONCLUSIONS
  Sensitivity and specificity of CTCA are not influenced by the prevalence of CAD, whereas the negative predictive value is lower and the positive predictive value tends to be higher in patients with a high prevalence of CAD.
authors.affiliation: Institute of Nuclear Cardiology, University Hospital Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland.
authors.forename: Lars
authors.initials: L
authors.lastname: Husmann
authors.forename: Tiziano
authors.initials: T
authors.lastname: Schepis
authors.forename: Hans
authors.initials: H
authors.lastname: Scheffel
authors.forename: Oliver
authors.initials: O
authors.lastname: Gaemperli
authors.forename: Sebastian
authors.initials: S
authors.lastname: Leschka
authors.forename: Ines
authors.initials: I
authors.lastname: Valenta
authors.forename: Pascal
authors.initials: P
authors.lastname: Koepfli
authors.forename: Lotus
authors.initials: L
authors.lastname: Desbiolles
authors.forename: Paul
authors.initials: P
authors.lastname: Stolzmann
authors.forename: Borut
authors.initials: B
authors.lastname: Marincek
authors.forename: Hatem
authors.initials: H
authors.lastname: Alkadhi
authors.forename: Philipp A
authors.initials: PA
authors.lastname: Kaufmann
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D016009:Chi-Square Distribution; D017023:Coronary Angiography / Q000379:methods*; D003327:Coronary Disease / Q000000981:diagnostic imaging* / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D015995:Prevalence; D011857:Radiographic Image Interpretation, Computer-Assisted; D012307:Risk Factors; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*