ArticleEuropean radiology2019
Longitudinal airway remodeling in active and past smokers in a lung cancer screening population.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 33 citations in OpenAlex.
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- Detection of Airway Remodeling in Asthma Using Bronchoscopic Optical Coherence Tomography.CHEST pulmonary · 2025Article
- Low-Dose Whole-Chest Dynamic CT for the Assessment of Large Airway Collapsibility in Patients with Suspected Tracheobronchial Instability.Radiology. Cardiothoracic imaging · 2024Article
- Quantitative Assessment Characteristics of Small Pulmonary Vessel Remodelling in Populations at High Risk for COPD and Smokers Using Low-Dose CT.International journal of chronic obstructive pulmonary disease · 2024Article
- Quantification of airway wall contrast enhancement on virtual monoenergetic images from spectral computed tomography.European radiology · 2023Article
- Assessment of Electronic Nicotine Delivery Systems With Cigarette Use and Self-reported Wheezing in the US Adult Population.JAMA network open · 2023Article
- GOLD stage-specific phenotyping of emphysema and airway disease using quantitative computed tomography.Frontiers in medicine · 2023Article
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- Re-Defining High Risk COPD with Parameter Response Mapping Based on Machine Learning Models.International journal of chronic obstructive pulmonary disease · 2022Article
- Association between smoking cessation and obstructive spirometry pattern among Korean adults aged 40-79 years.Scientific reports · 2021Article
- A calibration CT mini-lung-phantom created by 3-D printing and subtractive manufacturing.Journal of applied clinical medical physics · 2021Article
- Comparison of histological and computed tomographic measurements of pig lung bronchi.ERJ open research · 2020Article
- Article
- Standardized airway wall thickness Pi10 from routine CT scans of COPD patients as imaging biomarker for disease severity, lung function decline, and mortality.Therapeutic advances in respiratory diseaseArticle
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesTo longitudinally investigate smoking cessation-related changes of quantitative computed tomography (QCT)-based airway metrics in a group of heavy smokers.
methodsCT scans were acquired in a lung cancer screening population over 4 years at 12-month intervals in 284 long-term ex-smokers (ES), 405 continuously active smokers (CS), and 31 subjects who quitted smoking within 2 years after baseline CT (recent quitters, RQ). Total diameter (TD), lumen area (LA), and wall percentage (WP) of 1st-8th generation airways were computed using airway analysis software. Inter-group comparison was performed using Mann-Whitney U test or Student's t test (two groups), and ANOVA or ANOVA on ranks with Dunn's multiple comparison test (more than two groups), while Fisher's exact test or chi-squared test was used for categorical data. Multiple linear regression was used for multivariable analysis.
resultsAt any time, TD and LA were significantly higher in ES than CS, for example, in 5th-8th generation airways at baseline with 6.24 mm vs. 5.93 mm (p < 0.001) and 15.23 mm
conclusionsBronchial dimensions depend on the smoking status. Smoking-induced airway remodeling can be partially reversible after smoking cessation even in long-term heavy smokers. Therefore, QCT-based airway metrics in clinical trials should consider the current smoking status besides pack years. KEY POINTS: • Airway lumen and diameter are decreased in active smokers compared to ex-smokers, and there is a trend towards increased airway wall thickness in active smokers. • Smoking-related airway changes improve within 2 years after smoking cessation. • Smoking status is an independent predictor of airway dimensions.
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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.