Multislice computed tomography coronary angiography in patients admitted with a suspected acute coronary syndrome View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-12-13

AUTHORS

Duncan R. Coles, Peter Wilde, Martin Oberhoff, Chris A. Rogers, Karl R. Karsch, Andreas Baumbach

ABSTRACT

ObjectivesThe aim of this prospective clinical study was to assess the accuracy and clinical relevance of multislice computed tomography coronary angiography (MSCTCA) in patients presenting with acute chest pain.BackgroundMultislice computed tomography coronary angiography has shown ability to detect accurately coronary artery disease (CAD) in selected elective patient groups.MethodsOne hundred and twenty patients presenting with acute chest pain (<24 h) underwent MSCTCA (Siemens Sensation 16) before a scheduled inpatient conventional coronary angiogram (CCA). Exclusion criteria included patients with STEMI, non-sinus rhythm, contraindication to β blockers and renal impairment. Blinded visual assessment of MSCTCA to detect CAD was performed on an 11-segment model. The accuracy of MSCTCA was compared to CCA to detect significant stenoses (≥50%).ResultsOne hundred and thirteen patients underwent both investigations. The prevalence of significant CAD was 74%. 1,243 native segments were assessed by MSCTCA. The overall ability of MSCTCA to detect the presence of ≥1 significant stenosis in all native segments had a sensitivity of 92% (95%CI 83–97%), specificity of 55% (95%CI 35–74%), positive predictive value of 86% (95%CI 76–93%) and negative predictive value of 70% (95%CI 47–87%). 22% of all segments (mostly distal) were non-analyzable. Coronary calcification was a major cause of false positivity.ConclusionIn a prospective study of unselected patients presenting with acute chest pain, the diagnostic accuracy of 16-slice CT coronary angiography was moderate and less than reported from studies in elective patients. The clinical relevance of this technology to screen patients with acute chest pain is limited. More... »

PAGES

603-614

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10554-006-9193-5

DOI

http://dx.doi.org/10.1007/s10554-006-9193-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017986172

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17164983


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