ArticleERJ open research2025
Automated computed tomographic analysis of bronchial thickness and mucus plugs in bronchiectasis with asthma.
Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Chest CT imaging toward personalized management of chronic obstructive pulmonary disease, asthma, and bronchiectasis: pulmonologist perspectives.Japanese journal of radiology · 2026Review
- Artificial Intelligence-Based Detection of Airway Mucus Plugs on CT and Associations With Clinical Outcomes in COPDGene.medRxiv : the preprint server for health sciences · 2026Article
- A novel quantitative method for CT assessment of bronchiectasis using AI-based airway segmentation and upper limits of normal airway caliber.Respiratory research · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bronchiectasis disease is characterised by cough, sputum and exacerbations, with chest computed tomography (CT) typically showing bronchial wall thickening and mucus plugging in addition to bronchial dilation. Asthma is a common comorbidity and associated with increased, eosinophilic, airway inflammation. Automated measurements of bronchial wall thickening and mucus plugs may serve as biomarkers for inflammation and are associated with clinical characteristics such as spirometry, blood eosinophil counts and disease severity in patients with bronchiectasis and asthma co-diagnosis. Methods: In a cross-sectional retrospective cohort of 64 patients with bronchiectasis disease and asthma, we applied automated image analysis to assess bronchial dimensions and mucus plug metrics on chest CT scans. These metrics were correlated with spirometry, blood eosinophil counts as well as FACED and Bronchiectasis Severity Index (BSI) scores using correlations and multiple regression analyses. Results: In 63 patients, bronchial wall thickness and mucus plugs were quantified. Negative correlations were observed between bronchial wall thickness markers and spirometry (bronchial wall thickness/accompanying artery diameter and forced expiratory volume in 1 s (FEV Conclusion: This study identified key relationships between automated measurements of bronchial wall thickness and mucus plugs and clinical characteristics, highlighting their potential as imaging biomarkers to enhance phenotyping, improve risk assessment and facilitate tailored treatment strategies in bronchiectasis.
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Registered trials
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