Accuracy of quantitative coronary angiography with computed tomography and its dependency on plaque composition: plaque composition and accuracy of cardiac CT

Int J Cardiovasc Imaging. 2008 Dec;24(8):895-904. doi: 10.1007/s10554-008-9327-z. Epub 2008 Jun 19.

Abstract

Objective: To determine the impact of plaque composition on accuracy of quantitative 64-slice computed tomography coronary angiography (CTCA).

Methods: The institutional review board approved this study; written informed consent was obtained from all patients. One hundred consecutive patients (42 women, mean age 64.6 +/- 9.4 years, age range 39-87 years) underwent CTCA and invasive quantitative coronary angiography (QCA) to determine (a) the diagnostic accuracy of CTCA for the detection of significant stenosis (diameter reduction of > or =50%), and (b) the accuracy of stenosis grading. In CTCA stenosis severity was graded in 10% steps and evaluated separately for calcified and non-calcified coronary lesions using Pearson-linear-regression analysis, Bland/Altman-analysis (BA), and Mann-Whitney-U-test.

Results: In 60/100 patients 139 significant coronary artery stenoses were identified with QCA. On a per-segment analysis, sensitivity of CTCA was 75.5%, and specificity was 96.6% (positive predictive value: 72.9%, negative predictive value: 97.0%). Quantification of stenosis grading correlated moderately between methods (r = 0.60; P < 0.001), with an overestimation by CTCA of 5.5% (BA limits-of-agreement -29 to 39%). BA limits-of-agreement were greater in calcified lesions (-29.2 to 45.6%; mean error 8.2%) than in non-calcified lesions (-25.9 to 30.2%; mean error 2.2%) and differed significantly (P < 0.05).

Conclusions: Diagnostic accuracy of CTCA is high, however agreement for quantitative lesion severity assessment between CTCA and QCA is moderate for calcified but superior for non-calcified lesions.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Chi-Square Distribution
  • Coronary Angiography / methods*
  • Coronary Stenosis / diagnostic imaging*
  • Coronary Stenosis / pathology
  • Female
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Sensitivity and Specificity
  • Statistics, Nonparametric
  • Tomography, X-Ray Computed / methods*