SYSTEMATIC REVIEW

64-Slice computed tomography angiography in the diagnosis and assessment of coronary artery disease: systematic review and meta-analysis

G Mowatt¹, J A Cook¹, G S Hillis², S Walker³, C Fraser¹, X Jia¹, N Waugh⁴

¹ Health Services Research Unit, Institute of Applied Health Sciences, College of Life Sciences and Medicine, University of Aberdeen, Aberdeen, UK
² Cardiology Department, Aberdeen Royal Infirmary, Aberdeen, UK
³ Radiology Department, Aberdeen Royal Infirmary, Aberdeen, UK
⁴ Department of Public Health, University of Aberdeen, Aberdeen, UK

Mr G Mowatt, Health Services Research Unit, 3rd Floor, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen AB25 2ZD, UK; g.mowatt{at}abdn.ac.uk

Context: Coronary artery disease (CAD) is a major cause of mortality and ill health.

Objective: To assess whether 64-slice CT angiography might replace some coronary angiography (CA) for diagnosis and assessment of CAD.

Data sources: Electronic databases, conference proceedings and reference lists of included studies.

Study selection: Eligible studies compared 64-slice CT with a reference standard of CA in adults with suspected/known CAD, reporting sensitivity and specificity or true and false positives and negatives.

Data extraction: Two reviewers independently extracted data from included studies.

Results: Forty studies were included; 28 provided sufficient data for inclusion in the meta-analyses, all using a cut off point of 50% stenosis to define significant CAD. In patient-based detection (n = 1286) 64-slice CT pooled sensitivity was 99% (95% credible interval (CrI) 97% to 99%), specificity 89% (95% CrI 83% to 94%), median positive predictive value (PPV) across studies 93% (range 64–100%) and negative predictive value (NPV) 100% (range 86–100%). In segment-based detection (n = 14 199) 64-slice CT pooled sensitivity was 90% (95% CrI 85% to 94%), specificity 97% (95% CrI 95% to 98%), median PPV across studies 76% (range 44–93%) and NPV 99% (range 95–100%).

Conclusions: 64-Slice CT is highly sensitive for patient-based detection of CAD and has high NPV. An ability to rule out significant CAD means that it may have a role in the assessment of chest pain, particularly when the diagnosis remains uncertain despite clinical evaluation and simple non-invasive testing.

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