ArticleThe World Allergy Organization journal2022
Phenotypic clusters on computed tomography reflects asthma heterogeneity and severity.
Article in The World Allergy Organization journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- [Bronchial asthma and bronchial hyperreactivity : Role of imaging].Radiologie (Heidelberg, Germany) · 2026Review
- Electrical impedance tomography-based temporal signals correlate with quantitative computed tomography-based spatial variables in asthma subjects: a pilot study.Frontiers in physiology · 2025Article
- The New Paradigm: The Role of Proteins and Triggers in the Evolution of Allergic Asthma.International journal of molecular sciences · 2024Review
- Airway Remodeling in Asthma.Open respiratory archivesArticle
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Asthma is a heterogeneous inflammatory airway disorder with various phenotypes. Quantitative computed tomography (QCT) methods can differentiate among lung diseases through accurate assessment of the location, extent, and severity of the disease. The purpose of this study was to identify asthma clusters using QCT metrics of airway and parenchymal structure, and to identify associations with visual analyses conducted by radiologists. Methods: This prospective study used input from QCT-based metrics including hydraulic diameter ( Results: A total of 61 asthmatics of varying severities were grouped into 4 clusters. From C1 to C4, more severe lung function deterioration, higher fixed obstruction rate, and more frequent asthma exacerbations were observed in the 5-year follow-up period. C1 presented non-severe asthma with increased WT, Conclusions: Four QCT imaging-based clusters with distinct structural and functional changes in proximal and small airways can stratify heterogeneous asthmatics and can be a complementary tool to predict clinical outcomes.
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