ArticleThe Journal of allergy and clinical immunology2014
Quantitative computed tomography-derived clusters: redefining airway remodeling in asthmatic patients.
Article in The Journal of allergy and clinical immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed, 130 citations in OpenAlex.
- Metabolite-Based Endotypes of Asthma Reveal Distinct Clinical Characteristics and Immune Cell Signatures.Allergy · 2026Article
- Vascular remodeling in asthma: from mechanisms to precision medicine.Current opinion in allergy and clinical immunology · 2026Review
- Unsupervised comprehensive CT imaging clusters reveal distinct morphological phenotypes in asthma: insights from two prospective cohorts.Respiratory research · 2026Article
- Quantitative Computed Tomographic Clusters in C-BIOPRED Asthma Cohort: Association with Sputum Proteomics.MedComm · 2025Article
- Detection of Airway Remodeling in Asthma Using Bronchoscopic Optical Coherence Tomography.CHEST pulmonary · 2025Article
- Radiomultiomics: quantitative CT clusters of severe asthma associated with multiomics.The European respiratory journal · 2024Article
- Increased adiposity-to-muscle ratio and severity of sinusitis affect quality of life in asthma: Computed tomographic analysis.The journal of allergy and clinical immunology. Global · 2024Article
- The New Paradigm: The Role of Proteins and Triggers in the Evolution of Allergic Asthma.International journal of molecular sciences · 2024Review
- A Novel Computed Tomography Score Reveals More about Air Trapping in Asthma.American journal of respiratory and critical care medicine · 2024Article
- Long-term efficacy of house dust mite sublingual immunotherapy on clinical and pulmonary function in patients with asthma and allergic rhinitis.The journal of allergy and clinical immunology. Global · 2024Article
- Airway remodelling in asthma and the epithelium: on the edge of a new era.The European respiratory journal · 2024Review
- Relationships Between High-Resolution Computed Tomographic Features and Lung Function Trajectory in Patients With Asthma.Allergy, asthma & immunology research · 2023Article
- Airway remodeling heterogeneity in asthma and its relationship to disease outcomes.Frontiers in physiology · 2023Review
- Novel Lung Growth Strategy with Biological Therapy Targeting Airway Remodeling in Childhood Bronchial Asthma.Children (Basel, Switzerland) · 2022Review
- Pulmonary functional MRI: Detecting the structure-function pathologies that drive asthma symptoms and quality of life.Respirology (Carlton, Vic.) · 2022Review
- Phenotypic clusters on computed tomography reflects asthma heterogeneity and severity.The World Allergy Organization journal · 2022Article
- Novel imaging phenotypes of naïve asthma patients with distinctive clinical characteristics and T2 inflammation traits.Therapeutic advances in chronic disease · 2022Article
- Severe pediatric asthma with a poor response to omalizumab: a report of three cases and three-dimensional bronchial wall analysis.The Journal of international medical research · 2022Article
- Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3.The Journal of allergy and clinical immunology · 2021Article
- Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians.Journal of personalized medicine · 2021Review
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundAsthma heterogeneity is multidimensional and requires additional tools to unravel its complexity. Computed tomography (CT)-assessed proximal airway remodeling and air trapping in asthmatic patients might provide new insights into underlying disease mechanisms.
objectivesThe aim of this study was to explore novel, quantitative, CT-determined asthma phenotypes.
methodsSixty-five asthmatic patients and 30 healthy subjects underwent detailed clinical, physiologic characterization and quantitative CT analysis. Factor and cluster analysis techniques were used to determine 3 novel, quantitative, CT-based asthma phenotypes.
resultsPatients with severe and mild-to-moderate asthma demonstrated smaller mean right upper lobe apical segmental bronchus (RB1) lumen volume (LV) in comparison with healthy control subjects (272.3 mm(3) [SD, 112.6 mm(3)], 259.0 mm(3) [SD, 53.3 mm(3)], 366.4 mm(3) [SD, 195.3 mm(3)], respectively; P = .007) but no difference in RB1 wall volume (WV). Air trapping measured based on mean lung density expiratory/inspiratory ratio was greater in patients with severe and mild-to-moderate asthma compared with that seen in healthy control subjects (0.861 [SD, 0.05)], 0.866 [SD, 0.07], and 0.830 [SD, 0.06], respectively; P = .04). The fractal dimension of the segmented airway tree was less in asthmatic patients compared with that seen in control subjects (P = .007). Three novel, quantitative, CT-based asthma clusters were identified, all of which demonstrated air trapping. Cluster 1 demonstrates increased RB1 WV and RB1 LV but decreased RB1 percentage WV. On the contrary, cluster 3 subjects have the smallest RB1 WV and LV values but the highest RB1 percentage WV values. There is a lack of proximal airway remodeling in cluster 2 subjects.
conclusionsQuantitative CT analysis provides a new perspective in asthma phenotyping, which might prove useful in patient selection for novel therapies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.