ArticleERJ open research2024
Children with severe asthma have substantial structural airway changes on computed tomography.
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, 11 citations in OpenAlex.
- Integrated pro-resolving mechanisms: a new dimension for optimizing anti-inflammatory therapy in asthma - a review of impaired inflammation resolution in airway remodeling.Frontiers in immunology · 2026Review
- CT imaging in children with non-severe asthma and cough-variant asthma: functional spasm or structural remodeling?Frontiers in medicine · 2026Article
- Automated computed tomographic analysis of bronchial thickness and mucus plugs in bronchiectasis with asthma.ERJ open research · 2025Article
- Serological markers, pulmonary function, and prognosis in pediatric asthma: predictive model development and validation.American journal of translational research · 2025Article
- Machine learning-enhanced HRCT analysis for diagnosis and severity assessment in pediatric asthma.Pediatric pulmonology · 2024Article
- Small Airways Disease Affects Aerosol Deposition in Children with Severe Asthma: A Functional Respiratory Imaging Study.Journal of aerosol medicine and pulmonary drug delivery · 2024Article
- Automated method of bronchus and artery dimension measurement in an adult bronchiectasis population.ERJ open research · 2024Article
- A new approach to computed tomography measurement of airway remodelling in paediatric asthma.ERJ open research · 2024Article
- Correlation between the severity of asthma and computed tomography-based large airway structural changes among children under 3 years of age.Annals of thoracic medicineArticle
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In adults with severe asthma (SA) bronchial wall thickening, bronchiectasis and low attenuation regions (LAR) have been described on chest computed tomography (CT) scans. The extent to which these structural abnormalities are present in children with SA is largely unknown. Our aim was to study the presence and extent of airway abnormalities on chest CT of children with SA. Methods: 161 inspiratory and expiratory CT scans, either spirometer-controlled or technician-controlled, obtained in 131 children with SA (mean±SD age 11.0±3.8 years) were collected retrospectively. Inspiratory scans were analysed manually using a semi-quantitative score and automatically using LungQ (v2.1.0.1; Thirona B.V., Nijmegen, the Netherlands). LungQ segments the bronchial tree, identifies the generation for each bronchus-artery (BA) pair and measures the following BA dimensions: outer bronchial wall diameter (B Results: Bronchiectasis was present on 95.8% and bronchial wall thickening on all CTs using the automated method. Bronchiectasis was present on 28% and bronchial wall thickening on 88.8% of the CTs using the manual semi-quantitative analysis. The percentage of BA pairs defined as bronchiectasis was 24.62% (12.7-39.3%) and bronchial wall thickening was 41.7% (24.0-79.8%) per CT using the automated method. LAR was observed on all CTs using the automatic analysis and on 82.9% using the manual semi-quantitative analysis. Patients with LAR or functional SAD had more thickened bronchi than patients without. Conclusion: Despite a large discrepancy between the automated and the manual semi-quantitative analysis, bronchiectasis and bronchial wall thickening are present on most CT scans of children with SA. SAD is related to bronchial wall thickening.
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Registered trials
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