SynthesisEuropean radiology2022
Bronchial wall parameters on CT in healthy never-smoking, smoking, COPD, and asthma populations: a systematic review and meta-analysis.
Synthesis in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Development and validation of a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary abnormality risk in an asymptomatic screening population.World journal of radiology · 2026Article
- Airway structural involvement detected by quantitative computed tomography in controlled and uncontrolled asthma.BMC pulmonary medicine · 2026Observational
- Clinical study of bronchial wall area proportion in children and adolescents based on CT images.BMC pulmonary medicine · 2026Article
- Comparison of Pi10 and PiSlope calculation methods and association with lung function.European radiology · 2026Article
- Airway quantifications of bronchitis patients with photon-counting and energy-integrating computed tomography.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Trying to disentangle the causes of dyspnea and exercise limitation in a subject with GATA2 deficiency and normal spirometry: a case report.Frontiers in physiology · 2026Article
- Associations of mucus plugging, small airway dysfunction, and airway wall thickening in cough-variant asthma versus asthma.European journal of medical research · 2025Article
- Effect of inspiratory lung volume on bronchial and arterial dimensions and ratios on chest computed tomography in patients with chronic obstructive pulmonary disease.European radiology · 2025Article
- Sex differences in asthma control, lung function and exacerbations: the ATLANTIS study.BMJ open respiratory research · 2024Observational
- A Multicenter Study of COPD and Cognitive Impairment: Unraveling the Interplay of Quantitative CT, Lung Function, HIF-1α, and Clinical Variables.International journal of chronic obstructive pulmonary disease · 2024Article
- Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction.European radiology · 2023Article
- Quantitative CT Metrics for the Prediction of Therapeutic Effect in Asthma.Journal of clinical medicine · 2023Article
- Morphometric analysis of airways in pre-COPD and mild COPD lungs using continuous surface representations of the bronchial lumen.Frontiers in bioengineering and biotechnology · 2023Article
- Early Diagnosis of High-Risk Chronic Obstructive Pulmonary Disease Based on Quantitative High-Resolution Computed Tomography Measurements.International journal of chronic obstructive pulmonary disease · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveResearch on computed tomography (CT) bronchial parameter measurements shows that there are conflicting results on the values for bronchial parameters in the never-smoking, smoking, asthma, and chronic obstructive pulmonary disease (COPD) populations. This review assesses the current CT methods for obtaining bronchial wall parameters and their comparison between populations.
methodsA systematic review of MEDLINE and Embase was conducted following PRISMA guidelines (last search date 25th October 2021). Methodology data was collected and summarised. Values of percentage wall area (WA%), wall thickness (WT), summary airway measure (Pi10), and luminal area (Ai) were pooled and compared between populations.
resultsA total of 169 articles were included for methodologic review; 66 of these were included for meta-analysis. Most measurements were obtained from multiplanar reconstructions of segmented airways (93 of 169 articles), using various tools and algorithms; third generation airways in the upper and lower lobes were most frequently studied. COPD (12,746) and smoking (15,092) populations were largest across studies and mostly consisted of men (median 64.4%, IQR 61.5 - 66.1%). There were significant differences between populations; the largest WA% was found in COPD (mean SD 62.93 ± 7.41%, n = 6,045), and the asthma population had the largest Pi10 (4.03 ± 0.27 mm, n = 442). Ai normalised to body surface area (Ai/BSA) (12.46 ± 4 mm
conclusionsStudies on CT-derived bronchial parameter measurements are heterogenous in methodology and population, resulting in challenges to compare outcomes between studies. Significant differences between populations exist for several parameters, most notably in the wall area percentage; however, there is a large overlap in their ranges. KEY POINTS: • Diverse methodology in measuring airways contributes to overlap in ranges of bronchial parameters among the never-smoking, smoking, COPD, and asthma populations. • The combined number of never-smoking participants in studies is low, limiting insight into this population and the impact of participant characteristics on bronchial parameters. • Wall area percent of the right upper lobe apical segment is the most studied (87 articles) and differentiates all except smoking vs asthma populations.
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