title: Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial.
abstract: OBJECTIVE
  The purpose of this study was to evaluate the diagnostic accuracy of electrocardiographically gated 64-multidetector row coronary computed tomographic angiography (CCTA) in individuals without known coronary artery disease (CAD).
  
  
  BACKGROUND
  CCTA is a promising method for detection and exclusion of obstructive coronary artery stenosis. To date, no prospective multicenter trial has evaluated the diagnostic accuracy of 64-multidetector row CCTA in populations with intermediate prevalence of CAD.
  
  
  METHODS
  We prospectively evaluated subjects with chest pain at 16 sites who were clinically referred for invasive coronary angiography (ICA). CCTAs were scored by consensus of 3 independent blinded readers. The ICAs were evaluated for coronary stenosis based on quantitative coronary angiography (QCA). No subjects were excluded for baseline coronary artery calcium score or body mass index.
  
  
  RESULTS
  A total of 230 subjects underwent both CCTA and ICA (59.1% male; mean age: 57 +/- 10 years). On a patient-based model, the sensitivity, specificity, and positive and negative predictive values to detect > or =50% or > or =70% stenosis were 95%, 83%, 64%, and 99%, respectively, and 94%, 83%, 48%, 99%, respectively. No differences in sensitivity and specificity were noted for nonobese compared with obese subjects or for heart rates < or =65 beats/min compared with >65 beats/min, whereas calcium scores >400 reduced specificity significantly.
  
  
  CONCLUSIONS
  In this prospective multicenter trial of chest pain patients without known CAD, 64-multidetector row CCTA possesses high diagnostic accuracy for detection of obstructive coronary stenosis at both thresholds of 50% and 70% stenosis. Importantly, the 99% negative predictive value at the patient and vessel level establishes CCTA as an effective noninvasive alternative to ICA to rule out obstructive coronary artery stenosis. (A Study of Computed Tomography [CT] for Evaluation of Coronary Artery Blockages in Typical or Atypical Chest Pain; NCT00348569).
authors.affiliation: Department of Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, California, USA. mbudoff@labiomed.org
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Budoff
authors.forename: David
authors.initials: D
authors.lastname: Dowe
authors.forename: James G
authors.initials: JG
authors.lastname: Jollis
authors.forename: Michael
authors.initials: M
authors.lastname: Gitter
authors.forename: John
authors.initials: J
authors.lastname: Sutherland
authors.forename: Edward
authors.initials: E
authors.lastname: Halamert
authors.forename: Markus
authors.initials: M
authors.lastname: Scherer
authors.forename: Raye
authors.initials: R
authors.lastname: Bellinger
authors.forename: Arthur
authors.initials: A
authors.lastname: Martin
authors.forename: Robert
authors.initials: R
authors.lastname: Benton
authors.forename: Augustin
authors.initials: A
authors.lastname: Delago
authors.forename: James K
authors.initials: JK
authors.lastname: Min
mesh_terms: D000368:Aged; D019540:Area Under Curve; D002114:Calcinosis / Q000000981:diagnostic imaging; D002637:Chest Pain / Q000000981:diagnostic imaging / Q000209:etiology; D017023:Coronary Angiography / Q000379:methods*; D023921:Coronary Stenosis / Q000150:complications / Q000000981:diagnostic imaging* / Q000503:physiopathology; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011446:Prospective Studies; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D016037:Single-Blind Method; D014057:Tomography, X-Ray Computed / Q000379:methods*