ArticleERJ open research2024
Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis.
Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Toward precision imaging in interstitial lung disease: advances in quantitative imaging and artificial intelligence.Current opinion in pulmonary medicine · 2026Review
- Automated identification of interstitial lung abnormalities in lung screening using quantitative CT.BMJ open respiratory research · 2026Article
- Progressive pulmonary fibrosis.European radiology · 2026Review
- e-Lung computed tomography biomarkers are associated with outcomes in fibrotic interstitial lung diseases.ERJ open research · 2026Article
- Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation.Journal of rheumatic diseases · 2026Review
- Evaluation of Lung Volume Reduction in Patients with Interstitial Lung Disease Using Brainomix e-Lung.Journal of clinical medicine · 2026Article
- What role does artificial intelligence-driven quantitative analysis of chest computed tomography play in providing pulmonary function for idiopathic pulmonary fibrosis patients undergoing pirfenidone treatment?Quantitative imaging in medicine and surgery · 2025Article
- Phase 2 study design and analysis approach for BBT-877: an autotaxin inhibitor targeting idiopathic pulmonary fibrosis.BMJ open respiratory research · 2025Article
- Prediction of pulmonary function decline in fibrous interstitial lung abnormalities based on quantitative chest CT parameters.BMC medical imaging · 2025Article
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In patients with idiopathic pulmonary fibrosis (IPF) there is a need to identify biomarkers that 1) are associated with increased risk of adverse outcome and 2) can be used to monitor treatment response or identify disease progression over time. Methods: Two consecutive cohorts of patients with IPF were accessed from the Open Source Imaging Consortium database. Automated computed tomography (CT) biomarkers of disease severity incorporating fibrotic and pulmonary vascular features (the reticulovascular score and weighted reticulovascular score (WRVS)) were studied. Relationships between imaging biomarkers, lung function and survival were analysed. Results: In separate test and validation cohorts, 168 and 176 patients with IPF respectively (median survival 2.6 years) were studied. A threshold of WRVS ≥15% at baseline CT was most strongly associated with transplant-free survival (HR 3.00, 95% CI 1.47-6.10, p=0.002) when adjusted for baseline forced vital capacity (FVC) and age. In patients with 12-month follow-up CT and lung function tests (n=89) an increase in 3% of WRVS (the minimal clinically important difference) was also significantly associated with reduced survival independent of FVC, and outperformed visual evaluation of progressive fibrosis. Conclusions: WRVS is an automated CT biomarker which can identify patients with IPF at increased risk of progression and is able to reliably capture disease progression over time.
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Registered trials
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