Quantitative computed tomography predicts outcomes in idiopathic pulmonary fibrosis

• DOI: 10.1111/resp.14333
• Publication Date: 2022-07-25T07:45:06Z
• Authors: Stephen M. Humphries; John A. Mackintosh; Helen E. Jo; Simon L. F. Walsh; Mario Silva; Lucio Calandriello; Sally Chapman; Samantha Ellis; Ian Glaspole; Nicole Goh; Christopher Grainge; Peter M. A. Hopkins; Gregory J. Keir; Yuben Moodley; Paul N. Reynolds; E. Haydn Walters; David Baraghoshi; Athol U. Wells; David A. Lynch; Tamera J. Corte
• Keywords: Vital capacity

Abstract Background and objective Prediction of disease course in patients with progressive pulmonary fibrosis remains challenging. The purpose this study was to assess the prognostic value lung extent quantified at computed tomography (CT) using data‐driven texture analysis (DTA) a large cohort well‐characterized idiopathic (IPF) enrolled national registry. Methods This retrospective included participants Australian IPF Registry available CT between 2007 2016. scans were analysed DTA method quantify fibrosis. Demographics, longitudinal function quantitative metrics compared descriptive statistics. Linear mixed models, Cox analyses adjusted for age, gender, BMI, smoking history treatment anti‐fibrotics performed relationships baseline DTA, outcomes. Results 393 analysed, 221 which had testing obtained within 90 days CT. mixed‐effect modelling showed that score significantly associated annual rate decline forced vital capacity diffusing carbon monoxide. In multivariable proportional hazard greater poorer transplant‐free survival (hazard ratio [HR] 1.20, p < 0.0001) progression‐free (HR 1.14, 0.0001). Conclusion multi‐centre observational registry IPF, fibrotic abnormality on is outcomes independent function.