Literature DB >> 18342770

Comparison of diagnostic accuracy of 64-slice computed tomography coronary angiography in patients with low, intermediate, and high cardiovascular risk.

Lars Husmann1, Tiziano Schepis, Hans Scheffel, Oliver Gaemperli, Sebastian Leschka, Ines Valenta, Pascal Koepfli, Lotus Desbiolles, Paul Stolzmann, Borut Marincek, Hatem Alkadhi, Philipp A Kaufmann.   

Abstract

RATIONALE AND
OBJECTIVES: The aim of this study was to compare the diagnostic accuracy of 64-slice computed tomographic coronary angiography (CTCA) in groups of patients with low, intermediate, and high risk for coronary artery disease (CAD) events.
MATERIALS AND METHODS: The institutional review board approved this study; written informed consent was obtained from all patients. Eighty-eight consecutive patients with suspected CAD (40 women; mean age, 64.3 +/- 9.4 years; range, 39-82) underwent CTCA, calcium scoring, and invasive coronary angiography and were grouped according to their Framingham 10-year risk for hard coronary events into low (<10%), intermediate (10%-20%), and high (>20%) risk categories. Significant stenoses (luminal diameter narrowing > or =50%) were assessed on an intention-to-diagnose-basis; no coronary segment was excluded and nonevaluative segments were rated false positive. To determine differences between groups, Kruskal-Wallis tests were performed for individually determined values of diagnostic performance.
RESULTS: Per-patient sensitivity, specificity, negative predictive, and positive predictive values were 90.0%, 79.2%, 95.0%, and 64.3%, respectively, with low (n = 34), 87.5%, 92.3%, 85.7%, and 93.3%, respectively, with intermediate (n = 29), and 100%, 75.0%, 100%, and 89.5%, respectively, with high risk (n = 25), with a trend toward higher positive predictive value (P = .07). Per-segment negative predictive value was lower with high pretest probability (P < .01). Mean calcium-score units were 90, 220, and 312 (P = .23), and the prevalence of CAD was 29.4%, 55.2%, and 68.0% (P < .01) with low, intermediate, and high risk.
CONCLUSION: Sensitivity and specificity of CTCA are not influenced by the prevalence of CAD, whereas the negative predictive value is lower and the positive predictive value tends to be higher in patients with a high prevalence of CAD.

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Year:  2008        PMID: 18342770     DOI: 10.1016/j.acra.2007.12.008

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  14 in total

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Authors:  Aleksander Kosmala; Bernhard Petritsch; Andreas Max Weng; Thorsten Alexander Bley; Tobias Gassenmaier
Journal:  Eur Radiol       Date:  2018-11-30       Impact factor: 5.315

2.  High diagnostic accuracy of prospective ECG-gating 64-slice computed tomography coronary angiography for the detection of in-stent restenosis: in-stent restenosis assessment by low-dose MDCT.

Authors:  Daniele Andreini; Gianluca Pontone; Antonio L Bartorelli; Saima Mushtaq; Daniela Trabattoni; Erika Bertella; Sarah Cortinovis; Andrea Annoni; Alberto Formenti; Giovanni Ballerini; Piergiuseppe Agostoni; Cesare Fiorentini; Mauro Pepi
Journal:  Eur Radiol       Date:  2011-02-18       Impact factor: 5.315

3.  CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis.

Authors:  Tobias A Fuchs; Michael Fiechter; Cathérine Gebhard; Julia Stehli; Jelena R Ghadri; Egle Kazakauskaite; Bernhard A Herzog; Lars Husmann; Oliver Gaemperli; Philipp A Kaufmann
Journal:  Int J Cardiovasc Imaging       Date:  2012-10-02       Impact factor: 2.357

4.  First in vivo head-to-head comparison of high-definition versus standard-definition stent imaging with 64-slice computed tomography.

Authors:  Tobias A Fuchs; Julia Stehli; Michael Fiechter; Svetlana Dougoud; Bert-Ram Sah; Cathérine Gebhard; Sacha Bull; Oliver Gaemperli; Philipp A Kaufmann
Journal:  Int J Cardiovasc Imaging       Date:  2013-05-01       Impact factor: 2.357

5.  Diagnostic accuracy of computed tomography coronary angiography according to pre-test probability of coronary artery disease and severity of coronary arterial calcification. The CORE-64 (Coronary Artery Evaluation Using 64-Row Multidetector Computed Tomography Angiography) International Multicenter Study.

Authors:  Armin Arbab-Zadeh; Julie M Miller; Carlos E Rochitte; Marc Dewey; Hiroyuki Niinuma; Ilan Gottlieb; Narinder Paul; Melvin E Clouse; Edward P Shapiro; John Hoe; Albert C Lardo; David E Bush; Albert de Roos; Christopher Cox; Jeffrey Brinker; Joăo A C Lima
Journal:  J Am Coll Cardiol       Date:  2012-01-24       Impact factor: 24.094

Review 6.  Influence of coronary calcification on the diagnostic accuracy of 64-slice computed tomography coronary angiography: a systematic review and meta-analysis.

Authors:  Jawdat Abdulla; Kasper S Pedersen; Matthew Budoff; Klaus F Kofoed
Journal:  Int J Cardiovasc Imaging       Date:  2011-06-12       Impact factor: 2.357

7.  Preoperative coronary risk assessment with dual-source CT in patients undergoing noncoronary cardiac surgery.

Authors:  V Buffa; C N De Cecco; L Cossu; S Fedeli; A Vallone; R Ruopoli; M Luzietti; G Angelica; V David; F Musumeci
Journal:  Radiol Med       Date:  2010-03-09       Impact factor: 3.469

8.  Accuracy of coronary artery stenosis detection with CT versus conventional coronary angiography compared with composite findings from both tests as an enhanced reference standard.

Authors:  J Matthias Kerl; U Joseph Schoepf; Peter L Zwerner; Ralf W Bauer; Joseph A Abro; Christian Thilo; Thomas J Vogl; Christopher Herzog
Journal:  Eur Radiol       Date:  2011-05-01       Impact factor: 5.315

Review 9.  Influence of coronary artery disease prevalence on predictive values of coronary CT angiography: a meta-regression analysis.

Authors:  Peter Schlattmann; Georg M Schuetz; Marc Dewey
Journal:  Eur Radiol       Date:  2011-05-20       Impact factor: 5.315

10.  Incremental value of adenosine-induced stress myocardial perfusion imaging with dual-source CT at cardiac CT angiography.

Authors:  Jose A Rocha-Filho; Ron Blankstein; Leonid D Shturman; Hiram G Bezerra; David R Okada; Ian S Rogers; Brian Ghoshhajra; Udo Hoffmann; Gudrun Feuchtner; Wilfred S Mamuya; Thomas J Brady; Ricardo C Cury
Journal:  Radiology       Date:  2010-02       Impact factor: 11.105

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