Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Quantitative computed tomography-derived clusters: redefining airway remodeling in asthmatic patients.

The Journal of allergy and clinical immunology - 1 Mar 2014

Gupta Sumit, Hartley Ruth, Khan Umair T, Singapuri Amisha, Hargadon Beverly, Monteiro William, Pavord Ian D, Sousa Ana R, Marshall Richard P, Subramanian Deepak, Parr David, Entwisle James J, Siddiqui Salman, Raj Vimal, Brightling Christopher E

Abstract excerpt

BACKGROUND: Asthma 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. OBJECTIVES: The aim of this study was to explore novel, quantitative, CT-determined asthma phenotypes. METHODS: Sixty-five asthmatic patients...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Airway Remodeling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Asthma

Share to Cluster Analysis

Share to Phenotype

Share to Tomography, X-Ray Computed

Source

Open in PubMed Open full text

Identifiers

PMID: 24238646
DOI: 10.1016/j.jaci.2013.09.039
PMCID: PMC3969578

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Quantitative computed tomography-derived clusters: redefining airway remodeling in asthmatic patients.PMID 24238646Read ↗

Quantitative computed tomographic imaging-based clustering differentiates asthmatic subgroups with distinctive clinical phenotypes.Semantic proximity Read ↗

Unsupervised comprehensive CT imaging clusters reveal distinct morphological phenotypes in asthma: insights from two prospective cohorts.Semantic proximity Read ↗

Quantitative CT Characteristics of Cluster Phenotypes in the Severe Asthma Research Program Cohorts.Semantic proximity Read ↗

Pulmonary MRI and Cluster Analysis Help Identify Novel Asthma Phenotypes.Semantic proximity Read ↗

Severe Asthma Phenotypes Classified by Site of Airway Involvement and Remodeling via Chest CT Scan.Semantic proximity Read ↗

Quantitative Chest CT Characteristics of Asthma with Persistent Airflow Limitation PhenotypeSemantic proximity Read ↗

Quantitative analysis of high-resolution computed tomography scans in severe asthma subphenotypes.Semantic proximity Read ↗

Radiomics of the Airway (RadAr): Multi-Scale Airway Phenotyping for Disease Characterization on Routine CT ImagingSemantic proximity Read ↗

HRCT quantitative analysis of airway remodeling and airway trapping in the small airway asthma phenotype and its correlation with pulmonary function.Semantic proximity Read ↗

Distinct Phenotypes of Smokers with Fixed Airflow Limitation Identified by Cluster Analysis of Severe Asthma.Semantic proximity Read ↗

Distinct clinical phenotypes of airways disease defined by cluster analysis.Semantic proximity Read ↗

Quantitative computed tomography in COPD: possibilities and limitations.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.