Literature DB >> 17306490

Detection of significant coronary artery stenosis with 64-section MDCT angiography.

Dilek Oncel1, Guray Oncel, Ahmet Tastan, Batuhan Tamci.   

Abstract

PURPOSE: To prospectively evaluate the diagnostic performance of 64-section multidetector computed tomography (MDCT) to detect significant coronary artery stenosis using conventional coronary angiography (CCA) as the reference standard.
MATERIALS AND METHODS: Institutional Review Board approval and informed consent were obtained. In this prospective study, 80 patients (61 male, 19 female, mean age 56) were examined. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) were calculated. McNemar test was used to search for the significant difference between 64-section MDCT angiography and CCA to detect stenosis. Also, kappa index (kappa) for the agreement between MDCT angiography and CCA was calculated.
RESULTS: The sensitivity, specificity, positive (PPV) and negative predictive values (NPV) for detecting significant stenosis were 96%, 98%, 91%, 99%, respectively. The sensitivity, specificity, PPV and NPV for classification of patients with or without CAD were 100% for all. McNemar test demonstrated no significant difference between 64-section MDCT angiography and CCA. Also, kappa index (kappa) indicated excellent agreement.
CONCLUSION: Sixty-four section MDCT angiography is an effective diagnostic tool for the detection of significant coronary artery stenosis. Especially, the potential to differentiate patients with and without CAD may provide MDCT an important role in the prevention of unnecessary invasive diagnostic procedures.

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Year:  2007        PMID: 17306490     DOI: 10.1016/j.ejrad.2007.01.009

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  15 in total

Review 1.  Transitioning from 16-slice to 64-slice multidetector computed tomography for the assessment of coronary artery disease: are we really making progress?

Authors:  Razi Khan; Sapna Rawal; Mark J Eisenberg
Journal:  Can J Cardiol       Date:  2009-09       Impact factor: 5.223

2.  Non-invasive evaluation of coronary artery stent patency with retrospectively ECG-gated 64-slice CT angiography.

Authors:  Iacopo Carbone; Marco Francone; Emanuela Algeri; Antonino Granatelli; Alessandro Napoli; Miles A Kirchin; Carlo Catalano; Roberto Passariello
Journal:  Eur Radiol       Date:  2007-10-10       Impact factor: 5.315

3.  Methodological quality of diagnostic accuracy studies on non-invasive coronary CT angiography: influence of QUADAS (Quality Assessment of Diagnostic Accuracy Studies included in systematic reviews) items on sensitivity and specificity.

Authors:  Sabine Schueler; Stefan Walther; Georg M Schuetz; Peter Schlattmann; Marc Dewey
Journal:  Eur Radiol       Date:  2013-01-16       Impact factor: 5.315

Review 4.  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

Review 5.  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

Review 6.  The diagnostic performance of multi-slice coronary computed tomographic angiography: a systematic review.

Authors:  Daniel A Ollendorf; Michelle Kuba; Steven D Pearson
Journal:  J Gen Intern Med       Date:  2010-11-10       Impact factor: 5.128

Review 7.  Diagnosing coronary artery disease with hybrid PET/CT: it takes two to tango.

Authors:  Ibrahim Danad; Pieter G Raijmakers; Paul Knaapen
Journal:  J Nucl Cardiol       Date:  2013-10       Impact factor: 5.952

8.  Assessment of image quality and radiation dose in prospective ECG-triggered coronary CT angiography compared with retrospective ECG-gated coronary CT angiography.

Authors:  Sung Min Ko; Na Ra Kim; Dong Hun Kim; Meong Gun Song; Jin Hwan Kim
Journal:  Int J Cardiovasc Imaging       Date:  2009-12-23       Impact factor: 2.357

9.  Quantitative image analysis for the detection of motion artefacts in coronary artery computed tomography.

Authors:  Wisnumurti Kristanto; Peter M van Ooijen; Riksta Dikkers; Marcel J Greuter; Felix Zijlstra; Matthijs Oudkerk
Journal:  Int J Cardiovasc Imaging       Date:  2009-09-23       Impact factor: 2.357

Review 10.  Use of 3x2 tables with an intention to diagnose approach to assess clinical performance of diagnostic tests: meta-analytical evaluation of coronary CT angiography studies.

Authors:  Georg M Schuetz; Peter Schlattmann; Marc Dewey
Journal:  BMJ       Date:  2012-10-24
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