David J Roach1,2, Yannick Crémillieux3, Suraj D Serai4, Robert P Thomen1,5, Hui Wang6, Yuanshu Zou7, Rhonda D Szczesniak2,7, Sadia Benzaquen8, Jason C Woods1,2,4. 1. Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA. 2. Pulmonary Medicine, Cincinnati Children's Hospital, Cincinnati, Ohio, USA. 3. Centre de Résonance Magnétique des Systèmes Biologiques, Centre National de la Recherche Scientifique, Université de Bordeaux, Bordeaux, France. 4. Radiology Department Cincinnati Children's Hospital, Cincinnati, Ohio, USA. 5. Department of Physics, Washington University in St. Louis, St. Louis, Missouri, USA. 6. Philips Healthcare, Cleveland, Ohio, USA. 7. Biostatistics and Epidemiology, Cincinnati Children's Hospital, Cincinnati, Ohio, USA. 8. University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
Abstract
PURPOSE: To further validate the ability of ultrashort echo-time (UTE) magnetic resonance imaging (MRI) in quantifying lung density in patients diagnosed with chronic obstructive pulmonary disease (COPD) and to develop an MRI-based emphysema index (EI). MATERIALS AND METHODS: Ten subjects clinically diagnosed with COPD (5M/5F, age 62.6 ± 8.5 years) and ten healthy subjects (2M/8F, age 48.9 ± 19.2 years) were imaged via UTE MRI at 3T (4 mm slices, 1.39 × 1.39 mm2 pixels). Chest computed tomography (CT) images (generally 5 mm slices, ≈0.55 × 0.55 mm2 pixels), acquired retrospectively, were compared to UTE MRI. CT lung densities, MR lung-signal density, and EI were quantified from both CT and UTE MR images via a quantitative automated analysis and compared to the percent predicted forced expiratory volume in 1 second (FEV1 % predicted). RESULTS: EI quantified in controls via CT and UTE MRI was 0.23 ± 0.78% and 2.40 ± 1.50%, respectively; in COPD subjects it was 13.3 ± 14.9% (P = 0.021) and 12.0 ± 9.8% (P = 0.013), respectively. Bland-Altman determined the mean differences and 95% limits of agreement for COPD subjects and healthy controls were 0.06 (12.50 to -12.38). Strong correlation (R2 = 0.79, P < 0.0001) existed between EIs quantified from both CT and UTE MRI. There was a slightly higher correlation between FEV1 % predicted and the UTE MRI EI (R2 = 0.65, P < 0.0001) compared to CT EI (R2 = 0.49, P < 0.0001). CONCLUSION: Our results demonstrate a significant positive correlation between lung density and EI assessed with CT and MRI. Furthermore, UTE MRI exhibits its potential as a diagnostic alternative to CT for assessing the extent and the severity of emphysema, particularly for longitudinal studies. J. Magn. Reson. Imaging 2016;44:1656-1663.
PURPOSE: To further validate the ability of ultrashort echo-time (UTE) magnetic resonance imaging (MRI) in quantifying lung density in patients diagnosed with chronic obstructive pulmonary disease (COPD) and to develop an MRI-based emphysema index (EI). MATERIALS AND METHODS: Ten subjects clinically diagnosed with COPD (5M/5F, age 62.6 ± 8.5 years) and ten healthy subjects (2M/8F, age 48.9 ± 19.2 years) were imaged via UTE MRI at 3T (4 mm slices, 1.39 × 1.39 mm2 pixels). Chest computed tomography (CT) images (generally 5 mm slices, ≈0.55 × 0.55 mm2 pixels), acquired retrospectively, were compared to UTE MRI. CT lung densities, MR lung-signal density, and EI were quantified from both CT and UTE MR images via a quantitative automated analysis and compared to the percent predicted forced expiratory volume in 1 second (FEV1 % predicted). RESULTS: EI quantified in controls via CT and UTE MRI was 0.23 ± 0.78% and 2.40 ± 1.50%, respectively; in COPD subjects it was 13.3 ± 14.9% (P = 0.021) and 12.0 ± 9.8% (P = 0.013), respectively. Bland-Altman determined the mean differences and 95% limits of agreement for COPD subjects and healthy controls were 0.06 (12.50 to -12.38). Strong correlation (R2 = 0.79, P < 0.0001) existed between EIs quantified from both CT and UTE MRI. There was a slightly higher correlation between FEV1 % predicted and the UTE MRI EI (R2 = 0.65, P < 0.0001) compared to CT EI (R2 = 0.49, P < 0.0001). CONCLUSION: Our results demonstrate a significant positive correlation between lung density and EI assessed with CT and MRI. Furthermore, UTE MRI exhibits its potential as a diagnostic alternative to CT for assessing the extent and the severity of emphysema, particularly for longitudinal studies. J. Magn. Reson. Imaging 2016;44:1656-1663.
Authors: Robert P Thomen; Laura L Walkup; David J Roach; Nara Higano; Andrew Schapiro; Alan Brody; John P Clancy; Zackary I Cleveland; Jason C Woods Journal: Am J Respir Crit Care Med Date: 2020-07-15 Impact factor: 21.405
Authors: Nara S Higano; Robert J Fleck; David R Spielberg; Laura L Walkup; Andrew D Hahn; Robert P Thomen; Stephanie L Merhar; Paul S Kingma; Jean A Tkach; Sean B Fain; Jason C Woods Journal: J Magn Reson Imaging Date: 2017-02-03 Impact factor: 4.813