Coronary arteries: diagnostic performance of 16- versus 64-section spiral CT compared with invasive coronary angiography--meta-analysis.
OBJECTIVE
To perform a meta-analysis to compare the diagnostic performance of 16- versus 64-section computed tomography (CT) for the diagnosis of coronary artery disease (CAD).


METHODS
The MEDLINE database was searched for relevant original articles. Criteria for inclusion of articles were (a) use of multisection spiral CT as a diagnostic test for obstructive CAD, (b) use of the newer generation of multisection spiral CT (16 or 64 section) scanners, and (c) use of coronary angiography as the reference standard for diagnosing obstructive CAD (>50% diameter stenosis was selected as the cutoff criterion for diagnosis of CAD). After data extraction, the analysis was performed according to a random-effects model. Between-study statistical heterogeneity also was assessed by using Cochran Q chi(2) tests.


RESULTS
Of 328 identified relevant articles, 37 fulfilled all inclusion criteria, with data available for a patient-based analysis in 28. The patient-based analysis included pooled data from 16 studies, corresponding to 1292 patients who underwent 16-section spiral CT, and from 12 studies, corresponding to 695 patients who underwent 64-section spiral CT. Respectively, the results for 16-section CT versus 64-section CT were 95% (95% confidence interval [CI]: 93%, 96%) versus 97% (95% CI: 95%, 98%) for sensitivity (P = .03), 69% (95% CI: 66%, 73%) versus 90% (95% CI: 86%, 93%) for specificity (P < .001), 79% (95% CI: 76%, 82%) versus 93% (95% CI: 91%, 96%) for positive predictive value (PPV) (P < .001), 92% (95% CI: 88%, 94%) versus 96% (95% CI: 92%, 98%) for negative predictive value (P < .001), and 72.05 (95% CI: 31.35, 165.56) versus 181.82 (95% CI: 88.70, 372.71) for diagnostic odds ratio (P = .1).


CONCLUSIONS
Sixty-four-section spiral CT has significantly higher specificity and PPV on a per-patient basis compared with 16-section CT for the detection of greater than 50% stenosis of coronary arteries.


BACKGROUND
http://radiology.rsnajnls.org/cgi/content/full/2453061899/DC1.
Hamon
Michèle
M
Department of Radiology, University Hospital of Caen, Avenue Côte de Nacre, 14033 Caen Cedex, Normandy, France. hamon-mi@chu-caen.fr
Morello
Rémy
R
Riddell
John W
JW
Hamon
Martial
M
D017023:Coronary Angiography / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D006801:Humans; D015203:Reproducibility of Results; D036542:Tomography, Spiral Computed