{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T13:21:34Z","timestamp":1791897694786,"version":"4.3.4"},"reference-count":24,"publisher":"European Respiratory Society (ERS)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Eur Respir J"],"accepted":{"date-parts":[[2013,2,19]]},"published-print":{"date-parts":[[2014,1]]},"abstract":"<jats:p>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.<\/jats:p><jats:p>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\u2019 assessments and clinical outcomes.<\/jats:p><jats:p>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.<\/jats:p><jats:p>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.<\/jats:p>","DOI":"10.1183\/09031936.00071812","type":"journal-article","created":{"date-parts":[[2013,4,6]],"date-time":"2013-04-06T04:21:18Z","timestamp":1365222078000},"page":"204-212","source":"Crossref","is-referenced-by-count":241,"title":["Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis"],"prefix":"10.1183","volume":"43","author":[{"given":"Fabien","family":"Maldonado","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Teng","family":"Moua","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Srinivasan","family":"Rajagopalan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronald A.","family":"Karwoski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sushravya","family":"Raghunath","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul A.","family":"Decker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas E.","family":"Hartman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian J.","family":"Bartholmai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard A.","family":"Robb","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jay H.","family":"Ryu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"81","published-online":{"date-parts":[[2013,4,5]]},"reference":[{"key":"2024102021373891000_43.1.204.1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2463062200"},{"key":"2024102021373891000_43.1.204.2","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.200209-1112OC"},{"key":"2024102021373891000_43.1.204.3","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.200302-219OC"},{"key":"2024102021373891000_43.1.204.4","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.2111053"},{"key":"2024102021373891000_43.1.204.5","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.200211-1311OC"},{"key":"2024102021373891000_43.1.204.6","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.200210-1245OC"},{"key":"2024102021373891000_43.1.204.7","doi-asserted-by":"publisher","DOI":"10.1378\/chest.09-0538"},{"key":"2024102021373891000_43.1.204.8","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.200608-1153CC"},{"key":"2024102021373891000_43.1.204.9","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2007.03.009"},{"key":"2024102021373891000_43.1.204.10","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.2009-040GL"},{"key":"2024102021373891000_43.1.204.11","doi-asserted-by":"publisher","DOI":"10.1183\/09031936.05.00034805"},{"key":"2024102021373891000_43.1.204.12","first-page":"270","article-title":"Single breath diffusing capacity in a representative sample of the population of Michigan, a large industrial state. 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