TY - JOUR T1 - Radiomic Measures from Chest HRCT Associated with Lung Function in Sarcoidosis JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.00371-2019 SP - 1900371 AU - Sarah M. Ryan AU - Tasha E. Fingerlin AU - Margaret Mroz AU - Briana Barkes AU - Nabeel Hamzeh AU - Lisa A. Maier AU - Nichole E. Carlson Y1 - 2019/01/01 UR - http://erj.ersjournals.com/content/early/2019/05/30/13993003.00371-2019.abstract N2 - Introduction. Pulmonary sarcoidosis is a rare heterogenous lung disease of unknown etiology, with limited treatment options. Phenotyping relies on clinical testing including visual scoring of chest radiographs. Objective radiomic measures from high resolution computed tomography (HRCT) may provide additional information to assess disease status. As the first radiomics analysis in sarcoidosis, we investigate the potential of radiomics as biomarkers for sarcoidosis, by assessing (1) differences in HRCT between sarcoidosis and controls, (2) associations between radiomic measures and spirometry, and (3) trends between Scadding stages.Methods. Radiomic features were computed on HRCT in three anatomical planes. Linear regression compared global radiomic features between sarcoidosis (N=73) and controls (N=78) and identified associations with spirometry. Spatial differences in associations across the lung were investigated using functional data analysis. A sub-analysis compared radiomic features between Scadding stages.Results. Global radiomic measures differed significantly between sarcoidosis and control (p<0.001 for skewness, kurtosis, fractal dimension and Geary's C), with differences in spatial radiomics most apparent in superior and lateral regions. In sarcoidosis subjects, there were significant associations between radiomic measures and spirometry, with a large association found between Geary's C and forced vital capacity (FVC) (p=0.008). Global radiomic measures differed significantly between Scadding stages (p<0.032), albeit non-linearly, with stage IV having more extreme radiomic values. Radiomics explained 71.1% of the variability in FVC compared to 51.4% with Scadding staging alone.Conclusions. Radiomic HRCT measures objectively differentiate disease abnormalities, associate with lung function, and identify trends in Scadding stage, showing promise as quantitative biomarkers for pulmonary sarcoidosis.FootnotesThis manuscript has recently been accepted for publication in the European Respiratory Journal. It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article.Conflict of interest: Ms. Ryan has nothing to disclose.Conflict of interest: Dr. Fingerlin has nothing to disclose.Conflict of interest: Ms. Mroz has nothing to disclose.Conflict of interest: Ms. Barkes has nothing to disclose.Conflict of interest: Dr. Hamzeh has nothing to disclose.Conflict of interest: Dr. Maier reports grants from NIH/NHLBI, grants from NIH/NHLBI, grants from NIH/NHLBI, during the conduct of the study; grants from NIH/NHLBI, grants from NIH/NHLBI, grants from NIH/NHLBI, grants from NIH/NHLBI, grants from aTYR, grants from Mallinckrodt ARD, Inc., outside the submitted work.Conflict of interest: Dr. Carlson has nothing to disclose. ER -