RT Journal Article
SR Electronic
T1 Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP 204
OP 212
DO 10.1183/09031936.00071812
VO 43
IS 1
A1 Fabien Maldonado
A1 Teng Moua
A1 Srinivasan Rajagopalan
A1 Ronald A. Karwoski
A1 Sushravya Raghunath
A1 Paul A. Decker
A1 Thomas E. Hartman
A1 Brian J. Bartholmai
A1 Richard A. Robb
A1 Jay H. Ryu
YR 2014
UL http://erj.ersjournals.com/content/43/1/204.abstract
AB Accurate assessment of prognosis in idiopathic pulmonary fibrosis remains elusive due to significant individual radiological and physiological variability. We hypothesised that short-term radiological 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 Laboratory at the Mayo Clinic Rochester (Rochester, MN, USA) for the analysis and quantification of parenchymal lung abnormalities on high-resolution computed tomography. We assessed baseline and follow-up (time-points 1 and 2, respectively) high-resolution computed tomography scans in 55 selected idiopathic pulmonary fibrosis 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 (hazard ratio 1.91, p=0.006), total volume of interstitial abnormalities (hazard ratio 1.70, p=0.003) and per cent total interstitial abnormalities (hazard ratio 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 interstitial lung disease progression, but not specific radiological features, was also predictive of mortality. These data demonstrate the feasibility of quantifying interval short-term changes on high-resolution computed tomography and their possible use as independent predictors of survival in idiopathic pulmonary fibrosis. Short-term quantified CT changes are predictive of survival in IPF http://ow.ly/qmbjd