Literature DB >> 23261002

Diagnostic performance of computed tomography coronary angiography (from the Prospective National Multicenter Multivendor EVASCAN Study).

Pascal Gueret1, Jean-François Deux, Laurent Bonello, Anthony Sarran, Christophe Tron, Luc Christiaens, Jean-Nicolas Dacher, David Bertrand, Laurent Leborgne, Cedric Renard, Christophe Caussin, Philippe Cluzel, Gerard Helft, Dominique Crochet, Hélène Vernhet-Kovacsik, Valérie Chabbert, Emile Ferrari, Martine Gilard, Serge Willoteaux, Alain Furber, Gilles Barone-Rochette, Adrien Jankowski, Philippe Douek, Elie Mousseaux, Marc Sirol, Ralph Niarra, Gilles Chatellier, Jean-Pierre Laissy.   

Abstract

Computed tomographic coronary angiography (CTCA) has been proposed as a noninvasive test for significant coronary artery disease (CAD), but only limited data are available from prospective multicenter trials. The goal of this study was to establish the diagnostic accuracy of CTCA compared to coronary angiography (CA) in a large population of symptomatic patients with clinical indications for coronary imaging. This national, multicenter study was designed to prospectively evaluate stable patients able to undergo CTCA followed by conventional CA. Data from CTCA and CA were analyzed in a blinded fashion at central core laboratories. The main outcome was the evaluation of patient-, vessel-, and segment-based diagnostic performance of CTCA to detect or rule out significant CAD (≥50% luminal diameter reduction). Of 757 patients enrolled, 746 (mean age 61 ± 12 years, 71% men) were analyzed. They underwent CTCA followed by CA 1.7 ± 0.8 days later using a 64-detector scanner. The prevalence of significant CAD in native coronary vessels by CA was 54%. The rate of nonassessable segments by CTCA was 6%. In a patient-based analysis, sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios of CTCA were 91%, 50%, 68%, 83%, 1.82, and 0.18, respectively. The strongest predictors of false-negative results on CTCA were high estimated pretest probability of CAD (odds ratio [OR] 1.97, p <0.001), male gender (OR 1.5, p <0.002), diabetes (OR 1.5, p <0.0001), and age (OR 1.2, p <0.0001). In conclusion, in this large multicenter study, CTCA identified significant CAD with high sensitivity. However, in routine clinical practice, each patient should be individually evaluated, and the pretest probability of obstructive CAD should be taken into account when deciding which method, CTCA or CA, to use to diagnose its presence and severity.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23261002     DOI: 10.1016/j.amjcard.2012.10.029

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  10 in total

1.  Economic utility of a blood-based genomic test for the assessment of patients with symptoms suggestive of obstructive coronary artery disease.

Authors:  Louis I Hochheiser; Jessie L Juusola; Mark Monane; Joseph A Ladapo
Journal:  Popul Health Manag       Date:  2014-02-25       Impact factor: 2.459

2.  Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging-part I.

Authors:  Gianluca Pontone; Alexia Rossi; Marco Guglielmo; Marc R Dweck; Oliver Gaemperli; Koen Nieman; Francesca Pugliese; Pal Maurovich-Horvat; Alessia Gimelli; Bernard Cosyns; Stephan Achenbach
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2022-02-22       Impact factor: 6.875

3.  Radiomics features of pericoronary adipose tissue improve CT-FFR performance in predicting hemodynamically significant coronary artery stenosis.

Authors:  Lihua Yu; Xiuyu Chen; Runjianya Ling; Yarong Yu; Wenyi Yang; Jianqing Sun; Jiayin Zhang
Journal:  Eur Radiol       Date:  2022-10-18       Impact factor: 7.034

4.  Cost-effectiveness of computed tomography coronary angiography versus conventional invasive coronary angiography.

Authors:  Meryl Darlington; Pascal Gueret; Jean-Pierre Laissy; Antoine Filipovic Pierucci; Hassani Maoulida; Céline Quelen; Ralph Niarra; Gilles Chatellier; Isabelle Durand-Zaleski
Journal:  Eur J Health Econ       Date:  2014-07-03

5.  [Recommendations of the ESC guidelines regarding cardiovascular imaging].

Authors:  U Sechtem; S Greulich; P Ong
Journal:  Herz       Date:  2016-08       Impact factor: 1.443

6.  Computed tomography angiography versus Agatston score for diagnosis of coronary artery disease in patients with stable chest pain: individual patient data meta-analysis of the international COME-CCT Consortium.

Authors:  Viktoria Wieske; Mario Walther; Benjamin Dubourg; Hatem Alkadhi; Bjarne L Nørgaard; Matthijs F L Meijs; Axel C P Diederichsen; Yung-Liang Wan; Hans Mickley; Konstantin Nikolaou; Abbas A Shabestari; Bjørn A Halvorsen; Eugenio Martuscelli; Kai Sun; Bernhard A Herzog; Roy P Marcus; Sebastian Leschka; Mario J Garcia; Kristian A Ovrehus; Juhani Knuuti; Vladymir Mendoza-Rodriguez; Nuno Bettencourt; Simone Muraglia; Ronny R Buechel; Philipp A Kaufmann; Elke Zimmermann; Jean-Claude Tardif; Matthew J Budoff; Peter Schlattmann; Marc Dewey
Journal:  Eur Radiol       Date:  2022-03-10       Impact factor: 7.034

7.  Epicardial adipose tissue thickness correlates with the presence and severity of angiographic coronary artery disease in stable patients with chest pain.

Authors:  Fabien A Picard; Pascal Gueret; Jean-Pierre Laissy; Stéphane Champagne; Florence Leclercq; Didier Carrié; Jean-Michel Juliard; Patrick Henry; Ralph Niarra; Gilles Chatellier; Philippe Gabriel Steg
Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

8.  Radiation dose and image quality of CT coronary angiography in patients with high heart rate or irregular heart rhythm using a 16-cm wide detector CT scanner.

Authors:  Marian Ondrejkovic; Dusan Salat; Daniel Cambal; Andrej Klepanec
Journal:  Medicine (Baltimore)       Date:  2022-09-16       Impact factor: 1.817

Review 9.  The diagnostic performance of coronary artery angiography with 64-MSCT and post 64-MSCT: systematic review and meta-analysis.

Authors:  Min Li; Xiang-Min Du; Zhi-Tao Jin; Zhao-Hui Peng; Juan Ding; Li Li
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

Review 10.  Cardiovascular Screening for the Asymptomatic Patient with Diabetes: More Cons Than Pros.

Authors:  Konstantinos Makrilakis; Stavros Liatis
Journal:  J Diabetes Res       Date:  2017-12-14       Impact factor: 4.011

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.