OBJECTIVE: The aim of this study was to evaluate the potential clinical value of a new generation of 64-MDCT systems with that of invasive coronary angiography in the diagnosis of coronary artery disease (CAD). SUBJECTS AND METHODS: Seventy-two consecutive patients with known or suspected CAD underwent both 64-MDCT and quantitative coronary angiography (QCA). A CT system with acquisition of 64 slices per gantry rotation was used with a spatial resolution of 0.4 x 0.4 x 0.4 mm and a gantry rotation time of 330 milliseconds. Sensitivity, specificity, and diagnostic accuracy of 64-MDCT in the detection or exclusion of CAD were evaluated on both a per patient and a per segment basis. RESULTS: Sixty-eight of 72 coronary CT angiograms (CTAs) (94%) were of diagnostic image quality. QCA showed significant CAD (i.e., one or more stenoses in > 50%) in 57% (39/68) and nonsignificant disease or healthy CTAs in 43% (29/68) of the patients. Sensitivity, specificity, and the negative predictive value (NPV) of 64-MDCT per patient were 97%, 79%, and 96%, respectively. Per segment, 923 of 1,020 coronary artery segments were assessable (90%). For the detection of stenoses of more than 50% and more than 75% per segment, 64-MDCT showed a sensitivity of 82% and 86%, respectively. Per segment, specificity and NPV were as high as 95% and 97%, respectively. CONCLUSION: In clinical routine, coronary CTA will primarily be used for risk stratification on a per patient basis. In the present study, coronary 64-MDCT showed a high diagnostic accuracy on both per patient and per segment analyses.
OBJECTIVE: The aim of this study was to evaluate the potential clinical value of a new generation of 64-MDCT systems with that of invasive coronary angiography in the diagnosis of coronary artery disease (CAD). SUBJECTS AND METHODS: Seventy-two consecutive patients with known or suspected CAD underwent both 64-MDCT and quantitative coronary angiography (QCA). A CT system with acquisition of 64 slices per gantry rotation was used with a spatial resolution of 0.4 x 0.4 x 0.4 mm and a gantry rotation time of 330 milliseconds. Sensitivity, specificity, and diagnostic accuracy of 64-MDCT in the detection or exclusion of CAD were evaluated on both a per patient and a per segment basis. RESULTS: Sixty-eight of 72 coronary CT angiograms (CTAs) (94%) were of diagnostic image quality. QCA showed significant CAD (i.e., one or more stenoses in > 50%) in 57% (39/68) and nonsignificant disease or healthy CTAs in 43% (29/68) of the patients. Sensitivity, specificity, and the negative predictive value (NPV) of 64-MDCT per patient were 97%, 79%, and 96%, respectively. Per segment, 923 of 1,020 coronary artery segments were assessable (90%). For the detection of stenoses of more than 50% and more than 75% per segment, 64-MDCT showed a sensitivity of 82% and 86%, respectively. Per segment, specificity and NPV were as high as 95% and 97%, respectively. CONCLUSION: In clinical routine, coronary CTA will primarily be used for risk stratification on a per patient basis. In the present study, coronary 64-MDCT showed a high diagnostic accuracy on both per patient and per segment analyses.
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: Filippo Cademartiri; Erica Maffei; Anselmo Alessandro Palumbo; Roberto Malagò; Ludovico La Grutta; W Bob Meiijboom; Annachiara Aldrovandi; Michele Fusaro; Luigi Vignali; Alberto Menozzi; Valerio Brambilla; Paolo Coruzzi; Massimo Midiri; Miles A Kirchin; Nico R A Mollet; Gabriel P Krestin Journal: Eur Radiol Date: 2007-10-13 Impact factor: 5.315
Authors: Carsten Rist; T R Johnson; A Becker; A W Leber; A Huber; S Busch; C R Becker; M F Reiser; K Nikolaou Journal: Radiologe Date: 2007-04 Impact factor: 0.635
Authors: Paul Stolzmann; Hans Scheffel; Sebastian Leschka; Thomas Schertler; Thomas Frauenfelder; Philipp A Kaufmann; Borut Marincek; Hatem Alkadhi Journal: Eur Radiol Date: 2008-04-30 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