Quantitative CT analysis of honeycombing area predicts mortality in idiopathic pulmonary fibrosis with definite usual interstitial pneumonia pattern: A retrospective cohort study

Hiroaki Nakagawa, Emiko Ogawa, Kentaro Fukunaga, Daisuke Kinose, Masafumi Yamaguchi, Taishi Nagao, Sachiko Tanaka-Mizuno and Yasutaka Nakano

PLOS ONE, 2019, vol. 14, issue 3, 1-11

Abstract: Background: Honeycombing on high-resolution computed tomography (HRCT) images is a key finding in idiopathic pulmonary fibrosis (IPF). In IPF, honeycombing area determined by quantitative CT analysis is correlated with pulmonary function test findings. We hypothesized that quantitative CT-derived honeycombing area (HA) might predict mortality in patients with IPF. Materials and methods: Chest HRCT images of 52 IPF patients with definite usual interstitial pneumonia (UIP) pattern were retrospectively evaluated. Mortality data up to July 31, 2016, were recorded. Using a computer-aided system, HA and percentage of HA (%HA) were measured quantitatively. Predictors of 3-year mortality were evaluated using logistic regression models. Results: The median %HA, %predicted forced vital capacity (FVC) and composite physiologic index (CPI) were 3.8%, 83.6%, and 33.6, respectively. According to GAP (gender, age, and physiology) stage, 20, 14, and 5 patients were classified under stages I-II-III, respectively. Percentage of HA was significantly correlated with %FVC, CPI, and GAP stage (all, p

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0214278

DOI: 10.1371/journal.pone.0214278

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