Sex comparison of diagnostic accuracy of 64-multidetector row coronary computed tomographic angiography: Results from the multicenter ACCURACY trial

Janet C. Tsang, James K. Min, Fay Y. Lin, Leslee J. Shaw, Matthew J. Budoff

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Background: The diagnosis of coronary artery disease (CAD) in women remains a challenge, given their lower prevalence of obstructive disease and the suboptimal performance of traditional noninvasive tests (exercise electrocardiography and stress myocardial perfusion imaging). Coronary computed tomographic angiography (CTA) is a validated method for detection and exclusion of obstructive coronary artery stenosis. Objectives: We compared the diagnostic accuracy of coronary CTA between men and women without known CAD with the use of invasive coronary angiography (ICA) as the reference standard. Methods: We prospectively evaluated 230 subjects with chest pain at 16 sites who were clinically referred for ICA. ICAs were evaluated for coronary stenosis according to quantitative coronary angiography. Results: Subjects (136 men and 94 women; mean ± age, 57 ± 10 years) underwent both CTA and ICA. For a patient-based model for stenosis >50%, sensitivity, specificity, positive and negative predictive values in men versus women were 96%, 78%, 69%, 100% and 90%, 88%, 47%, 99%, respectively. Subgroup analyses were performed for age and lifestyle risk factors. For stenosis > 50% in patients < 55 years, specificity in men versus women was 88% versus 95%, whereas for patients > 55 years, specificity in men versus women was 68% versus 82% (P < 0.05). Conclusions: Coronary CTA found comparable diagnostic accuracy for women in comparison with men for the detection of obstructive coronary stenosis at both thresholds of 50% and 70%.

Original languageEnglish
Pages (from-to)246-251
Number of pages6
JournalJournal of Cardiovascular Computed Tomography
Volume6
Issue number4
DOIs
StatePublished - Jul 2012
Externally publishedYes

Keywords

  • Angiography
  • Computed tomography
  • Coronary artery disease
  • Women

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