PURPOSE: To prospectively analyze image quality and diagnostic accuracy of different reconstruction intervals of coronary angiography using multislice computed tomography (MSCT). MATERIALS AND METHODS: For each of 47 patients, 10 ECG-gated MSCT reconstructions were generated throughout the RR interval from 0 to 90%, resulting in altogether 470 datasets. These datasets were randomly analyzed for image quality and accuracy and compared with conventional angiography. Statistical comparison of intervals was performed using nonparametric analysis for repeated measurements to account for clustering of arteries within patients. RESULTS: Image reconstruction intervals centered at 80, 70, and 40% of the RR interval resulted (in that order) in the best overall image quality for all four main coronary vessels. Eighty percent reconstructions also yielded the highest diagnostic accuracy of all intervals. The combination of the three best intervals (80, 70, and 40%) significantly reduced the nondiagnostic rate as compared with 80% alone (p=0.005). However, the optimal reconstruction interval combination achieved significantly improved specificities and nondiagnostic rates (p<0.05). The optimal combination consisted of 1.7+/-0.9 reconstruction intervals on average. In approximately half of the patients (49%, 23/47) a single reconstruction was optimal. In 18 (38%), 3 (6%), and 3 (6%) patients one, two, and three additional reconstruction intervals were required, respectively, to achieve optimal quality. In 28% of the patients the optimal combination consisted of reconstructions other than the three best intervals (80, 70, and 40%). CONCLUSION: Multiple image reconstruction intervals are essential to ensure high image quality and accuracy of CT coronary angiography.
PURPOSE: To prospectively analyze image quality and diagnostic accuracy of different reconstruction intervals of coronary angiography using multislice computed tomography (MSCT). MATERIALS AND METHODS: For each of 47 patients, 10 ECG-gated MSCT reconstructions were generated throughout the RR interval from 0 to 90%, resulting in altogether 470 datasets. These datasets were randomly analyzed for image quality and accuracy and compared with conventional angiography. Statistical comparison of intervals was performed using nonparametric analysis for repeated measurements to account for clustering of arteries within patients. RESULTS: Image reconstruction intervals centered at 80, 70, and 40% of the RR interval resulted (in that order) in the best overall image quality for all four main coronary vessels. Eighty percent reconstructions also yielded the highest diagnostic accuracy of all intervals. The combination of the three best intervals (80, 70, and 40%) significantly reduced the nondiagnostic rate as compared with 80% alone (p=0.005). However, the optimal reconstruction interval combination achieved significantly improved specificities and nondiagnostic rates (p<0.05). The optimal combination consisted of 1.7+/-0.9 reconstruction intervals on average. In approximately half of the patients (49%, 23/47) a single reconstruction was optimal. In 18 (38%), 3 (6%), and 3 (6%) patients one, two, and three additional reconstruction intervals were required, respectively, to achieve optimal quality. In 28% of the patients the optimal combination consisted of reconstructions other than the three best intervals (80, 70, and 40%). CONCLUSION: Multiple image reconstruction intervals are essential to ensure high image quality and accuracy of CT coronary angiography.
Authors: Gianluca De Rubeis; Adriane E Napp; Peter Schlattmann; Jacob Geleijns; Michael Laule; Henryk Dreger; Klaus Kofoed; Mathias Sørgaard; Thomas Engstrøm; Hans Henrik Tilsted; Alberto Boi; Michele Porcu; Stefano Cossa; José F Rodríguez-Palomares; Filipa Xavier Valente; Albert Roque; Gudrun Feuchtner; Fabian Plank; Cyril Štěchovský; Theodor Adla; Stephen Schroeder; Thomas Zelesny; Matthias Gutberlet; Michael Woinke; Mihály Károlyi; Júlia Karády; Patrick Donnelly; Peter Ball; Jonathan Dodd; Mark Hensey; Massimo Mancone; Andrea Ceccacci; Marina Berzina; Ligita Zvaigzne; Gintare Sakalyte; Algidas Basevičius; Małgorzata Ilnicka-Suckiel; Donata Kuśmierz; Rita Faria; Vasco Gama-Ribeiro; Imre Benedek; Teodora Benedek; Filip Adjić; Milenko Čanković; Colin Berry; Christian Delles; Erica Thwaite; Gershan Davis; Juhani Knuuti; Mikko Pietilä; Cezary Kepka; Mariusz Kruk; Radosav Vidakovic; Aleksandar N Neskovic; Iñigo Lecumberri; Ignacio Diez Gonzales; Balazs Ruzsics; Mike Fisher; Marc Dewey; Marco Francone Journal: Eur Radiol Date: 2019-12-16 Impact factor: 5.315
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