64-multislice detector computed tomography coronary angiography as potential alternative to conventional coronary angiography: a systematic review and meta-analysis

Jawdat Abdulla, Steen Zabell Abildstrøm, Ole Gøtzsche, Erik Christensen, Lars Valeur Køber, Christian Torp-Pedersen

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Abstract

AIMS: To evaluate the diagnostic accuracy of 64-slice multi-detector computed tomography coronary angiography (64-SCTA) compared with the standard reference conventional coronary angiography (CCA). METHODS AND RESULTS: Based on a systematic search, 27 studies including 1740 patients were eligible for meta-analyses. Nineteen studies examined native coronary arteries (n = 1,251), four studies examined coronary artery by-pass grafts (CABG) (n = 271), and five studies examined coronary stents (n = 270). Overall 18 920 segments were assessable and 810 (4%) were unassessable. The prevalence of native coronary artery stenosis in per-segment (19 studies) and per-patients (13 studies) populations were 19 and 57.5% respectively. Accuracy tests with 95% confidence intervals comparing 64-SCTA vs. CCA showed that sensitivity, specificity, positive predictive and negative predictive values for native coronary arteries were 86(85-87), 96(95.5-96.5), 83, and 96.5% by per-segment analysis; 97.5(96-99), 91(87.5-94), 93, and 96.5% by per-patient analysis; 98.5(96-99.5), 96(93.5-97.5), 92 and 99% for CABGs; 80(70-88.5), 95(92-97), 80, and 95% for stent restenosis; and 87(86.5-88), 96(95.5-96.5), 83.5, and 97% by overall per-segment analysis. CONCLUSION: The high diagnostic accuracy of 64-SCTA validates this non-invasive technique as a potential alternative to CCA in carefully selected populations suspected for coronary stenosis.
Original languageEnglish
JournalEuropean Heart Journal
Volume28
Issue number24
Pages (from-to)3042-50
Number of pages8
ISSN0195-668X
DOIs
Publication statusPublished - 2007

Bibliographical note

Keywords: Aged; Cardiovascular Diseases; Coronary Angiography; Epidemiologic Methods; Female; Humans; Male; Middle Aged; Tomography, Spiral Computed

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