Introduction: Systemic sclerosis-associated interstitial lung disease accounts for up to 20% of mortality in these patients and has a highly variable prognosis. Functional respiratory imaging, a quantitative computed tomography imaging technique which allows mapping of regional information, can provide a detailed view of lung structures. It thereby shows potential to better characterize this disease. Purpose: To evaluate the use of functional respiratory imaging quantitative computed tomography in systemic sclerosis-associated interstitial lung disease staging, as well as the relationship between short-term changes in pulmonary function tests and functional respiratory imaging quantitative computed tomography with respect to disease severity. Materials and methods: An observational cohort of 35 patients with systemic sclerosis was retrospectively studied by comparing serial pulmonary function tests and in- and expiratory high-resolution computed tomography over 1.5-year interval. After classification into moderate to severe lung disease and limited lung disease (using a hybrid method integrating quantitative computed tomography and pulmonary function tests), post hoc analysis was performed using mixed-effects models and estimated marginal means in terms of functional respiratory imaging parameters. Results: At follow-up, relative mean forced vital capacity percentage change was not significantly different in the limited (6.37%; N = 13; p = 0.053) and moderate to severe disease (-3.54%; N = 16; p = 0.102) groups, respectively. Specific airway resistance decreased from baseline for both groups. (Least square mean changes -25.11% predicted (p = 0.006) and -14.02% predicted (p = 0.001) for limited and moderate to severe diseases.) In contrast to limited disease from baseline, specific airway radius increased in moderate to severe disease by 8.57% predicted (p = 0.011) with decline of lower lobe volumes of 2.97% predicted (p = 0.031). Conclusion: Functional respiratory imaging is able to differentiate moderate to severe disease versus limited disease and to detect disease progression in systemic sclerosis.
Introduction: Systemic sclerosis-associated interstitial lung disease accounts for up to 20% of mortality in these patients and has a highly variable prognosis. Functional respiratory imaging, a quantitative computed tomography imaging technique which allows mapping of regional information, can provide a detailed view of lung structures. It thereby shows potential to better characterize this disease. Purpose: To evaluate the use of functional respiratory imaging quantitative computed tomography in systemic sclerosis-associated interstitial lung disease staging, as well as the relationship between short-term changes in pulmonary function tests and functional respiratory imaging quantitative computed tomography with respect to disease severity. Materials and methods: An observational cohort of 35 patients with systemic sclerosis was retrospectively studied by comparing serial pulmonary function tests and in- and expiratory high-resolution computed tomography over 1.5-year interval. After classification into moderate to severe lung disease and limited lung disease (using a hybrid method integrating quantitative computed tomography and pulmonary function tests), post hoc analysis was performed using mixed-effects models and estimated marginal means in terms of functional respiratory imaging parameters. Results: At follow-up, relative mean forced vital capacity percentage change was not significantly different in the limited (6.37%; N = 13; p = 0.053) and moderate to severe disease (-3.54%; N = 16; p = 0.102) groups, respectively. Specific airway resistance decreased from baseline for both groups. (Least square mean changes -25.11% predicted (p = 0.006) and -14.02% predicted (p = 0.001) for limited and moderate to severe diseases.) In contrast to limited disease from baseline, specific airway radius increased in moderate to severe disease by 8.57% predicted (p = 0.011) with decline of lower lobe volumes of 2.97% predicted (p = 0.031). Conclusion: Functional respiratory imaging is able to differentiate moderate to severe disease versus limited disease and to detect disease progression in systemic sclerosis.
Authors: Nicole S Goh; Rachel K Hoyles; Christopher P Denton; David M Hansell; Elisabetta A Renzoni; Toby M Maher; Andrew G Nicholson; Athol U Wells Journal: Arthritis Rheumatol Date: 2017-07-18 Impact factor: 10.995
Authors: Margaret L Salisbury; David A Lynch; Edwin J R van Beek; Ella A Kazerooni; Junfeng Guo; Meng Xia; Susan Murray; Kevin J Anstrom; Eric Yow; Fernando J Martinez; Eric A Hoffman; Kevin R Flaherty Journal: Am J Respir Crit Care Med Date: 2017-04-01 Impact factor: 21.405
Authors: Demosthenes Bouros; Athol U Wells; Andrew G Nicholson; Thomas V Colby; Vlasis Polychronopoulos; Panos Pantelidis; Patricia L Haslam; Dimitris A Vassilakis; Carol M Black; Roland M du Bois Journal: Am J Respir Crit Care Med Date: 2002-06-15 Impact factor: 21.405
Authors: Nicole S L Goh; Sujal R Desai; Srihari Veeraraghavan; David M Hansell; Susan J Copley; Toby M Maher; Tamera J Corte; Clare R Sander; Jonathan Ratoff; Anand Devaraj; Gracijela Bozovic; Christopher P Denton; Carol M Black; Roland M du Bois; Athol U Wells Journal: Am J Respir Crit Care Med Date: 2008-03-27 Impact factor: 21.405
Authors: Stephen M Humphries; Kunihiro Yagihashi; Jason Huckleberry; Byung-Hak Rho; Joyce D Schroeder; Matthew Strand; Marvin I Schwarz; Kevin R Flaherty; Ella A Kazerooni; Edwin J R van Beek; David A Lynch Journal: Radiology Date: 2017-05-10 Impact factor: 11.105
Authors: J Clukers; M Lanclus; B Mignot; C Van Holsbeke; J Roseman; S Porter; E Gorina; E Kouchakji; K E Lipson; W De Backer; J De Backer Journal: Respir Res Date: 2018-11-06