PURPOSE: Chest computed tomography (CT) is a fundamental tool for the characterization of acute respiratory distress syndrome (ARDS). Its frequent use is, however, hindered by the associated radiation exposure. The aim of the present study was to evaluate, in patients with ARDS, the accuracy of quantitative and visual anatomical lung analysis performed on low-dose CT. We hypothesized that low-dose CT would provide accurate quantitative and visual anatomical results. METHODS: Chest CT was performed in 45 ARDS patients in static conditions at set airway pressures of 45 and 15 or 45 and 5 cmH2O. During each pause, two consecutive scans were obtained at two different tube current-time products (mAs). In 24 patients 110 mAs was coupled with 60 mAs; in 21 patients 110 was coupled with 30 mAs. All other CT parameters were kept unaltered. Quantitative and visual anatomical results obtained at different mAs were compared via Bland-Altman analysis. RESULTS: Good agreements were observed between 110 and 60 mAs and between 110 and 30 mAs both for quantitative and visual anatomical results (all biases below 1.5%). Estimated mean effective dose at 110, 60, and 30 mAs corresponded to 5.3 ± 1.6, 2.8 ± 0.8, and 1.4 ± 0.3 mSv, respectively. CONCLUSIONS: In patients with ARDS a reduction of mAs up to 30 (70 % effective dose reduction) can be achieved without significant effect on quantitative and visual anatomical results. Low-dose chest CT, with related quantitative and visual anatomical analysis, could be a valuable tool to characterize and potentially monitor lung disease in patients with ARDS.
PURPOSE: Chest computed tomography (CT) is a fundamental tool for the characterization of acute respiratory distress syndrome (ARDS). Its frequent use is, however, hindered by the associated radiation exposure. The aim of the present study was to evaluate, in patients with ARDS, the accuracy of quantitative and visual anatomical lung analysis performed on low-dose CT. We hypothesized that low-dose CT would provide accurate quantitative and visual anatomical results. METHODS: Chest CT was performed in 45 ARDS patients in static conditions at set airway pressures of 45 and 15 or 45 and 5 cmH2O. During each pause, two consecutive scans were obtained at two different tube current-time products (mAs). In 24 patients 110 mAs was coupled with 60 mAs; in 21 patients 110 was coupled with 30 mAs. All other CT parameters were kept unaltered. Quantitative and visual anatomical results obtained at different mAs were compared via Bland-Altman analysis. RESULTS: Good agreements were observed between 110 and 60 mAs and between 110 and 30 mAs both for quantitative and visual anatomical results (all biases below 1.5%). Estimated mean effective dose at 110, 60, and 30 mAs corresponded to 5.3 ± 1.6, 2.8 ± 0.8, and 1.4 ± 0.3 mSv, respectively. CONCLUSIONS: In patients with ARDS a reduction of mAs up to 30 (70 % effective dose reduction) can be achieved without significant effect on quantitative and visual anatomical results. Low-dose chest CT, with related quantitative and visual anatomical analysis, could be a valuable tool to characterize and potentially monitor lung disease in patients with ARDS.
Authors: J H Austin; N L Müller; P J Friedman; D M Hansell; D P Naidich; M Remy-Jardin; W R Webb; E A Zerhouni Journal: Radiology Date: 1996-08 Impact factor: 11.105
Authors: Pier Paolo Terragni; Giulio Rosboch; Andrea Tealdi; Eleonora Corno; Eleonora Menaldo; Ottavio Davini; Giovanni Gandini; Peter Herrmann; Luciana Mascia; Michel Quintel; Arthur S Slutsky; Luciano Gattinoni; V Marco Ranieri Journal: Am J Respir Crit Care Med Date: 2006-10-12 Impact factor: 21.405
Authors: Mannudeep K Kalra; Michael M Maher; Thomas L Toth; Bernhard Schmidt; Bryan L Westerman; Hugh T Morgan; Sanjay Saini Journal: Radiology Date: 2004-10-21 Impact factor: 11.105
Authors: Niall D Ferguson; Eddy Fan; Luigi Camporota; Massimo Antonelli; Antonio Anzueto; Richard Beale; Laurent Brochard; Roy Brower; Andrés Esteban; Luciano Gattinoni; Andrew Rhodes; Arthur S Slutsky; Jean-Louis Vincent; Gordon D Rubenfeld; B Taylor Thompson; V Marco Ranieri Journal: Intensive Care Med Date: 2012-08-25 Impact factor: 17.440
Authors: Maurizio Cereda; Yi Xin; Alberto Goffi; Jacob Herrmann; David W Kaczka; Brian P Kavanagh; Gaetano Perchiazzi; Takeshi Yoshida; Rahim R Rizi Journal: Anesthesiology Date: 2019-09 Impact factor: 7.892
Authors: Lorenzo Ball; Anja Braune; Francesco Corradi; Claudia Brusasco; Alessandro Garlaschi; Thomas Kiss; Thomas Bluth; Francesca Simonassi; Alice Bergamaschi; Jörg Kotzerke; Marcus J Schultz; Marcelo Gama de Abreu; Paolo Pelosi Journal: Intensive Care Med Exp Date: 2017-04-04