@article{662d43c5c7b7455fbfd6d08ba4fbdadc,
title = "Quantitative computed tomography predicts outcomes in idiopathic pulmonary fibrosis",
abstract = "Background and objective: Prediction of disease course in patients with progressive pulmonary fibrosis remains challenging. The purpose of this study was to assess the prognostic value of lung fibrosis extent quantified at computed tomography (CT) using data-driven texture analysis (DTA) in a large cohort of well-characterized patients with idiopathic pulmonary fibrosis (IPF) enrolled in a national registry. Methods: This retrospective analysis included participants in the Australian IPF Registry with available CT between 2007 and 2016. CT scans were analysed using the DTA method to quantify the extent of lung fibrosis. Demographics, longitudinal pulmonary function and quantitative CT metrics were compared using descriptive statistics. Linear mixed models, and Cox analyses adjusted for age, gender, BMI, smoking history and treatment with anti-fibrotics were performed to assess the relationships between baseline DTA, pulmonary function metrics and outcomes. Results: CT scans of 393 participants were analysed, 221 of which had available pulmonary function testing obtained within 90 days of CT. Linear mixed-effect modelling showed that baseline DTA score was significantly associated with annual rate of decline in forced vital capacity and diffusing capacity of carbon monoxide. In multivariable Cox proportional hazard models, greater extent of lung fibrosis was associated with poorer transplant-free survival (hazard ratio [HR] 1.20, p < 0.0001) and progression-free survival (HR 1.14, p < 0.0001). Conclusion: In a multi-centre observational registry of patients with IPF, the extent of fibrotic abnormality on baseline CT quantified using DTA is associated with outcomes independent of pulmonary function.",
keywords = "data-driven texture analysis, idiopathic pulmonary fibrosis, pulmonary function, quantitative computed tomography",
author = "Humphries, {Stephen M.} and Mackintosh, {John A.} and Jo, {Helen E.} and Walsh, {Simon L.F.} and Mario Silva and Lucio Calandriello and Sally Chapman and Samantha Ellis and Ian Glaspole and Nicole Goh and Christopher Grainge and Hopkins, {Peter M.A.} and Keir, {Gregory J.} and Yuben Moodley and Reynolds, {Paul N.} and Walters, {E. Haydn} and David Baraghoshi and Wells, {Athol U.} and Lynch, {David A.} and Corte, {Tamera J.}",
note = "Funding Information: : The study was supported by Australian IPF Registry and funded by the NHMRC Centre of Research Excellence in Pulmonary Fibrosis (which in turn is supported by Lung Foundation Australia and industry sponsors including Boehringer Ingelheim, Roche Products Pty. Limited, Galapagos and Bristol‐Myers Squibb Australia). Information on the Australian IPF Registry is available at: https://lungfoundation.com.au/research/our-research/australian-ipf-registry/ Open access publishing facilitated by The University of Queensland, as part of the Wiley ‐ The University of Queensland agreement via the Council of Australian University Librarians. Open access publishing facilitated by The University of Queensland, as part of the Wiley ‐ The University of Queensland agreement via the Council of Australian University Librarians. Research funding Funding Information: NG reports personal fees from AstraZeneca, Roche and Boehringer Ingelheim, and non‐financial support from Air Liquide, all outside the submitted work. TJC reports grants and personal fees from Boehringer Ingelheim, Roche and Bristol Meiers Squibb; personal fees from Promedior and Ad Alta; and grants from Avalyn Pharma and Biogen, all outside the submitted work. Funding Information: The NHMRC Centre of Research Excellence in Pulmonary Fibrosis is supported by Lung Foundation Australia and industry sponsors including Boehringer Ingelheim, Roche Products Pty. Limited, Galapagos and Bristol‐Myers Squibb Australia. Publisher Copyright: {\textcopyright} 2022 The Authors. Respirology published by John Wiley & Sons Australia, Ltd on behalf of Asian Pacific Society of Respirology.",
year = "2022",
month = dec,
doi = "10.1111/resp.14333",
language = "English",
volume = "27",
pages = "1045--1053",
journal = "Respirology",
issn = "1323-7799",
publisher = "John Wiley & Sons",
number = "12",
}