ArticlePloS one2019
Quantitative CT analysis of honeycombing area predicts mortality in idiopathic pulmonary fibrosis with definite usual interstitial pneumonia pattern: A retrospective cohort study.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Pooled it
- Spatiotemporal Immune-Fibroblast Crosstalk in Pulmonary Fibrosis: From Failed Repair to Fibrotic Niche Formation.International journal of biological sciences · 2026Review
- Association of peripheral leukocyte telomere length with patients with rheumatoid arthritis with a focus on interstitial lung disease.The Korean journal of internal medicine · 2025Article
- Extent of lung fibrosis is of greater prognostic importance than HRCT pattern in patients with progressive pulmonary fibrosis: data from the ILD-PRO registry.Respiratory research · 2025Article
- Volume changes of diseased and normal areas in progressive fibrosing interstitial lung disease on inspiratory and expiratory computed tomography.Japanese journal of radiology · 2024Article
- Article
- Quantitative analysis of high-resolution computed tomography features of idiopathic pulmonary fibrosis: a structure-function correlation study.Quantitative imaging in medicine and surgery · 2022Article
- Compromised Lung Volume and Hemostatic Abnormalities in COVID-19 Pneumonia: Results from an Observational Study on 510 Consecutive Patients.Journal of clinical medicine · 2021Article
- Several specific high-resolution computed tomography patterns correlate with survival in patients with idiopathic pulmonary fibrosis.Journal of thoracic disease · 2021Article
- Quantitative CT in mortality prediction in pulmonary fibrosis with or without emphysema.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2021Article
- In-vivo lung fibrosis staging in a bleomycin-mouse model: a new micro-CT guided densitometric approach.Scientific reports · 2020Article
- The evolving role of the lung microbiome in pulmonary fibrosis.American journal of physiology. Lung cellular and molecular physiology · 2020Review
- Article
- The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis.Therapeutic advances in respiratory diseaseReview
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHoneycombing 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
methodsChest 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.
resultsThe 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 < 0.001). In univariate analysis, %HA, %FVC, and CPI were statistically significant predictors of mortality. In multivariate analysis using the stepwise regression method, only %HA (odds ratio [OR], 1.27; p = 0.011) was a significant independent predictors of mortality. Patients with %HA ≥ 4.8% had significantly lower survival rates than those with lesser %HA (median survival time, 1.3 vs 5.0 years; log-rank test; p < 0.001).
conclusionQuantitative CT-derived HA might be an important and independent predictor of mortality in IPF patients with definite UIP pattern.
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