PT - JOURNAL ARTICLE AU - Fabien Maldonado AU - Teng Moua AU - Srinivasan Rajagopalan AU - Ronald A. Karwoski AU - Sushravya Raghunath AU - Paul A. Decker AU - Thomas E. Hartman AU - Brian J. Bartholmai AU - Richard A. Robb AU - Jay H. Ryu TI - Automated quantification of radiologic patterns predicts survival in idiopathic pulmonary fibrosis AID - 10.1183/09031936.00071812 DP - 2013 Jan 01 TA - European Respiratory Journal PG - erj00718-2012 4099 - http://erj.ersjournals.com/content/early/2013/04/04/09031936.00071812.short 4100 - http://erj.ersjournals.com/content/early/2013/04/04/09031936.00071812.full AB - Accurate assessment of prognosis in idiopathic pulmonary fibrosis (IPF) remains elusive due to significant individual radiologic and physiologic variability. We hypothesized that short term radiologic changes may be predictive of survival.We explored the use of CALIPER (Computer-Aided Lung Informatics for Pathology Evaluation and Rating), a novel software tool developed by the Biomedical Imaging Resource Lab at Mayo Clinic, for the analysis and quantification of parenchymal lung abnormalities on high-resolution computed tomography (HRCT). We assessed baseline and follow-up (time point 1 and 2, respectively) HRCT scans in 55 selected IPF patients and correlated CALIPER-quantified measurements with expert radiologists' assessments and clinical outcomes.Findings of interval change (mean 289 days) in volume of reticular densities (HR 1.91, P=0.006), total volume of interstitial abnormalities (HR 1.70, P=0.003) and percent total interstitial abnormalities (HR 1.52, P=0.017) as quantified by CALIPER were predictive of survival after a median follow-up of 2.4 years. Radiologist interpretation of short term global ILD progression but not specific radiologic features was also predictive of mortality.These data demonstrate the feasibility of quantifying interval short term changes on HRCT and their possible use as independent predictors of survival in IPF.