Literature DB >> 20857200

Diagnostic accuracy of first generation dual-source computed tomography in the assessment of coronary artery disease: a meta-analysis from 24 studies.

Shun-Lin Guo1, You-Min Guo, Ya-Nan Zhai, Bin Ma, Ping Wang, Ke-Hu Yang.   

Abstract

The objective of this study is to evaluate the diagnostic accuracy of the first generation dual-source computed tomography (DSCT) in the diagnosis of coronary artery disease (CAD). We selected articles from four databases (Pubmed, Embase, the Cochrane central register of controlled trials (CENTRAL) and Chinese biomedical literature database. The strict study selection was made, and two reviewers independently extracted data back-to-back from included studies. Meta-Disc version 1.4 was used to obtain the pooled results. 24 studies were included in meta-analysis. A cut off point of ≥50% stenosis was used in all the studies to define significant coronary artery stenosis. In patient-based analysis (n = 801), pooled sensitivity was 0.980 [95% confidence interval (CI):0.970-0.990], specificity 0.870 (95% CI: 0.830-0.900), median positive predictive value (PPV) across studies 0.876 (range from 0.741 to 0.943) and negative predictive value (NPV) 0.964 (range from 0.900 to 1.000). In vessel-based analysis (n = 3,620) DSCT pooled sensitivity was 0.957 (95% CI: 0.943-0.969), specificity 0.930 (95% CI: 0.910-0.940), median PPV across studies 0.838 (range from 0.534 to 0.964) and NPV 0.973 (range from 0.885 to 0.996). In segment-based analysis (n = 6,177) DSCT pooled sensitivity was 0.915 (95% CI: 0.901-0.928), specificity 0.959 (95% CI: 0.956-0.963), median PPV 0.782 (range from 0.320 to 0.927) and NPV 0.985 (range from 0.929 to 0.999). In subgroups analysis, pooled sensitivity and specificity in segment based analysis were 93.1 and 92.3% when heart rate (HR) is beyond 70 bpm; when HR was below 70 bpm, the sensitivity was similar (93%), but specificity increased a little from 92.3 to 94%. When analysed based on segment with a cut-off calcium score of 400, the sensitivity was slightly higher in the subgroup with a score over 400 than in the subgroup with a score below 400 (94 vs. 91%), while the specificity was much lower in the subgroup with the high calcium score than the subgroup with the low calcium score (85 vs. 96%). For subgroups with heart rate beyond and below 65 bpm in patient-based analysis, sensitivities were 0.95 (95% CI: 0.86-0.99) and 0.98 (95% CI 0.91-1.00), respectively, while the specificities were 0.88 (95% CI 0.81-0.94) and 0.85 (95% CI 0.77-0.91), respectively. The area under the receiver operating characteristic curve (AUC) in the two subgroups were 0.9608 and 0.9786, respectively. DSCT is highly sensitive for patient-based analysis of CAD and has high specificity and NPV for segment-based analysis of CAD. First generation DSCT may have a role in the evaluation of patients with chest pain as a simple non-invasive examination because of its ability to diagnose or exclude significant CAD.

Entities:  

Mesh:

Year:  2010        PMID: 20857200     DOI: 10.1007/s10554-010-9690-4

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  49 in total

1.  Diagnostic accuracy of 64-slice computed tomography for detecting angiographically significant coronary artery stenosis in an unselected consecutive patient population: comparison with conventional invasive angiography.

Authors:  Mariko Ehara; Jean-Francois Surmely; Masato Kawai; Osamu Katoh; Tetsuo Matsubara; Mitsuyasu Terashima; Etsuo Tsuchikane; Yoshihisa Kinoshita; Tomomichi Suzuki; Tatsuya Ito; Yoshihiro Takeda; Kenya Nasu; Nobuyoshi Tanaka; Akira Murata; Yasuyuki Suzuki; Koyo Sato; Takahiko Suzuki
Journal:  Circ J       Date:  2006-05       Impact factor: 2.993

2.  The diagnostic odds ratio: a single indicator of test performance.

Authors:  Afina S Glas; Jeroen G Lijmer; Martin H Prins; Gouke J Bonsel; Patrick M M Bossuyt
Journal:  J Clin Epidemiol       Date:  2003-11       Impact factor: 6.437

3.  Comparison of QCA systems.

Authors:  U Dietz; H J Rupprecht; R Brennecke; H P Fritsch; J Woltmann; S Blankenberg; J Meyer
Journal:  Int J Card Imaging       Date:  1997-08

4.  Diagnostic accuracy of 64-slice multislice computed tomography in the noninvasive evaluation of significant coronary artery disease.

Authors:  Joanne D Schuijf; Gabija Pundziute; J Wouter Jukema; Hildo J Lamb; Bas L van der Hoeven; Albert de Roos; Ernst E van der Wall; Jeroen J Bax
Journal:  Am J Cardiol       Date:  2006-05-19       Impact factor: 2.778

5.  Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations.

Authors:  L E Moses; D Shapiro; B Littenberg
Journal:  Stat Med       Date:  1993-07-30       Impact factor: 2.373

6.  Diagnostic accuracy of dual-source computed tomography in the diagnosis of coronary artery disease.

Authors:  Thorsten R C Johnson; Konstantin Nikolaou; Stephanie Busch; Alexander W Leber; Alexander Becker; Bernd J Wintersperger; Carsten Rist; Andreas Knez; Maximilian F Reiser; Christoph R Becker
Journal:  Invest Radiol       Date:  2007-10       Impact factor: 6.016

7.  Computed tomographic angiography or conventional coronary angiography in therapeutic decision-making.

Authors:  Lieuwe H Piers; Riksta Dikkers; Tineke P Willems; Bart J G L de Smet; Matthijs Oudkerk; Felix Zijlstra; René A Tio
Journal:  Eur Heart J       Date:  2008-10-14       Impact factor: 29.983

8.  Influence of heart rate on the diagnostic accuracy of dual-source computed tomography coronary angiography.

Authors:  Ulrike Ropers; Dieter Ropers; Tobias Pflederer; Katharina Anders; Axel Kuettner; Nikolaos I Stilianakis; Sei Komatsu; Willi Kalender; Werner Bautz; Werner G Daniel; Stephan Achenbach
Journal:  J Am Coll Cardiol       Date:  2007-12-18       Impact factor: 24.094

Review 9.  Systematic review of the clinical effectiveness and cost-effectiveness of 64-slice or higher computed tomography angiography as an alternative to invasive coronary angiography in the investigation of coronary artery disease.

Authors:  G Mowatt; E Cummins; N Waugh; S Walker; J Cook; X Jia; G S Hillis; C Fraser
Journal:  Health Technol Assess       Date:  2008-05       Impact factor: 4.014

10.  Noninvasive coronary angiography using dual-source computed tomography in patients with atrial fibrillation.

Authors:  Carsten Rist; Thorsten R Johnson; Jens Müller-Starck; Elisabeth Arnoldi; Tobias Saam; Alexander Becker; Alexander W Leber; Bernd J Wintersperger; Christoph R Becker; Maximilian F Reiser; Konstantin Nikolaou
Journal:  Invest Radiol       Date:  2009-03       Impact factor: 6.016

View more
  11 in total

Review 1.  CT angiography in the diagnosis of cardiovascular disease: a transformation in cardiovascular CT practice.

Authors:  Zhonghua Sun; Mansour Al Moudi; Yan Cao
Journal:  Quant Imaging Med Surg       Date:  2014-10

2.  Evidence for prospective ECG-triggering coronary CT angiography in routine practice.

Authors:  Ali Salavati; Frank J Rybicki
Journal:  Int J Cardiovasc Imaging       Date:  2012-02-09       Impact factor: 2.357

3.  Cardiac CT imaging in coronary artery disease: Current status and future directions.

Authors:  Zhonghua Sun
Journal:  Quant Imaging Med Surg       Date:  2012-06

4.  Role of strain values using automated function imaging on transthoracic echocardiography for the assessment of acute chest pain in emergency department.

Authors:  Mirae Lee; Sung-A Chang; Eun Jeong Cho; Sung-Ji Park; Jin-Oh Choi; Sang-Chol Lee; Jae K Oh; Seung Woo Park
Journal:  Int J Cardiovasc Imaging       Date:  2015-01-13       Impact factor: 2.357

Review 5.  Meta-analysis: diagnostic accuracy of coronary CT angiography with prospective ECG gating based on step-and-shoot, Flash and volume modes for detection of coronary artery disease.

Authors:  Linfeng Yang; Tao Zhou; Ruijie Zhang; Lin Xu; Zhaohui Peng; Juan Ding; Sen Wang; Min Li; Gang Sun
Journal:  Eur Radiol       Date:  2014-05-28       Impact factor: 5.315

Review 6.  Computed tomography of cardiomyopathies.

Authors:  Kevin Kalisz; Prabhakar Rajiah
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

7.  Computer-aided CT coronary artery stenosis detection: comparison with human reading and quantitative coronary angiography.

Authors:  Matthias Rief; Anisha Kranz; Lisa Hartmann; Robert Roehle; Michael Laule; Marc Dewey
Journal:  Int J Cardiovasc Imaging       Date:  2014-08-13       Impact factor: 2.357

8.  The role of coronary CT in the assessment and diagnosis of patients with chest pain.

Authors:  Adam Wallis; Nathan Manghat; Mark Hamilton
Journal:  Clin Med (Lond)       Date:  2012-06       Impact factor: 2.659

9.  Characterization of culprit lesions in acute coronary syndromes compared with stable angina pectoris by dual-source computed tomography.

Authors:  Xia Yang; Luyue Gai; Wei Dong; Hongbin Liu; Zhijun Sun; Feng Tian; Yundai Chen
Journal:  Int J Cardiovasc Imaging       Date:  2012-12-09       Impact factor: 2.357

Review 10.  Cardiovascular imaging 2011 in the International Journal of Cardiovascular Imaging.

Authors:  Ricardo A Costa; Hiram G Bezerra; Johan H C Reiber; Frank J Rybicki; Paul Schoenhagen; Arthur A Stillman; Johan De Sutter; Nico R L Van de Veire; Ernst E van der Wall
Journal:  Int J Cardiovasc Imaging       Date:  2012-03       Impact factor: 2.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.