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Influence of coronary artery disease prevalence on predictive values of coronary CT angiography: a meta-regression

Peter Schlattmann1, Georg M Schuetz, Marc Dewey

  • 1Department of Medical Statistics, Informatics and Documentation, University Hospital of Friedrich-Schiller University Jena, Jena, Germany.

European Radiology
|May 21, 2011
PubMed

Insights

Coronary CT angiography offers reliable negative and positive predictive values for coronary artery disease (CAD) detection. Higher detector row counts enhance these values across a wider range of CAD prevalence.

Area of Science:

  • Cardiovascular imaging
  • Radiology
  • Diagnostic accuracy

Background:

  • Coronary CT angiography (CCTA) is increasingly used for diagnosing coronary artery disease (CAD).
  • The predictive values of CCTA are influenced by the prevalence of CAD within the studied population.
  • Understanding this relationship is crucial for accurate interpretation of CCTA results.

Purpose of the Study:

  • To evaluate how the prevalence of coronary artery disease impacts the predictive values of coronary CT angiography.
  • To determine the optimal CAD prevalence range for achieving high negative and positive predictive values with CCTA.

Main Methods:

  • A meta-regression analysis using a generalized linear mixed model was conducted.
  • The study analyzed the influence of CAD prevalence on per-patient negative and positive predictive values of CCTA.
  • Conventional coronary angiography served as the reference standard.

Main Results:

  • The overall negative predictive value of CCTA was 93.7% and the positive predictive value was 87.5%.
  • CCTA achieved negative predictive values >90% and positive predictive values >70% within a CAD prevalence range of 18-63%.
  • CT systems with >16 detector rows demonstrated significantly broader ranges for achieving these predictive value thresholds compared to systems with ≤16 detector rows.

Conclusions:

  • Coronary CT angiography is a valuable tool for ruling out coronary artery disease.
  • It is particularly effective in patients with a low-to-intermediate likelihood of CAD.
  • The performance of CCTA is influenced by the prevalence of CAD and the technology used.
Abstract

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