AIMS: The aim of our study was to investigate the accuracy of 64-slice computed tomography (CT) for assessing haemodynamically significant stenoses of coronary arteries. METHODS AND RESULTS: CT angiography was performed in 67 patients (50 male, 17 female; mean age 60.1+/-10.5 years) with suspected coronary artery disease and compared with invasive coronary angiography. All vessels > or =1.5 mm were considered for the assessment of significant coronary artery stenosis (diameter reduction >50%). Forty-seven patients were identified as having significant coronary stenoses on invasive angiography with 18% (176/1005) affected segments. None of the coronary segments needed to be excluded from analysis. CT correctly identified all 20 patients having no significant stenosis on invasive angiography. Overall sensitivity for classifying stenoses was 94%, specificity was 97%, positive predictive value was 87%, and negative predictive value was 99%. CONCLUSION: Sixty-four-slice CT provides a high diagnostic accuracy in assessing coronary artery stenoses.
AIMS: The aim of our study was to investigate the accuracy of 64-slice computed tomography (CT) for assessing haemodynamically significant stenoses of coronary arteries. METHODS AND RESULTS: CT angiography was performed in 67 patients (50 male, 17 female; mean age 60.1+/-10.5 years) with suspected coronary artery disease and compared with invasive coronary angiography. All vessels > or =1.5 mm were considered for the assessment of significant coronary artery stenosis (diameter reduction >50%). Forty-seven patients were identified as having significant coronary stenoses on invasive angiography with 18% (176/1005) affected segments. None of the coronary segments needed to be excluded from analysis. CT correctly identified all 20 patients having no significant stenosis on invasive angiography. Overall sensitivity for classifying stenoses was 94%, specificity was 97%, positive predictive value was 87%, and negative predictive value was 99%. CONCLUSION: Sixty-four-slice CT provides a high diagnostic accuracy in assessing coronary artery stenoses.
Authors: F Tatsugami; M Matsuki; G Nakai; Y Inada; S Kanazawa; Y Takeda; H Morita; H Takada; S Yoshikawa; K Fukumura; Y Narumi Journal: Br J Radiol Date: 2012-01-17 Impact factor: 3.039
Authors: Oliver Klass; Susanne Kleinhans; Matthew J Walker; Mark Olszewski; Sebastian Feuerlein; Markus Juchems; Martin H K Hoffmann Journal: Int J Cardiovasc Imaging Date: 2010-03-26 Impact factor: 2.357
Authors: E Maffei; A Palumbo; C Martini; W Meijboom; C Tedeschi; P Spagnolo; A Zuccarelli; A Weustink; T Torri; N Mollet; S Seitun; G P Krestin; F Cademartiri Journal: Radiol Med Date: 2009-12-16 Impact factor: 3.469
Authors: Julie M Miller; Marc Dewey; Andrea L Vavere; Carlos E Rochitte; Hiroyuki Niinuma; Armin Arbab-Zadeh; Narinder Paul; John Hoe; Albert de Roos; Kunihiro Yoshioka; Pedro A Lemos; David E Bush; Albert C Lardo; John Texter; Jeffery Brinker; Christopher Cox; Melvin E Clouse; João A C Lima Journal: Eur Radiol Date: 2008-11-08 Impact factor: 5.315
Authors: Lars Husmann; Oliver Gaemperli; Tiziano Schepis; Hans Scheffel; Ines Valenta; Tobias Hoefflinghaus; Paul Stolzmann; Lotus Desbiolles; Bernhard A Herzog; Sebastian Leschka; Borut Marincek; Hatem Alkadhi; Philipp A Kaufmann Journal: Int J Cardiovasc Imaging Date: 2008-06-19 Impact factor: 2.357