ArticleAcademic radiology2017
Lung Mass in Smokers.
Article in Academic radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
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- Evaluation of silicosis combined with type 2 diabetes mellitus based on the quantitative CT measured parameters.Quantitative imaging in medicine and surgery · 2025Article
- Association of Ground-Glass Opacities with Systemic Inflammation and Progression of Emphysema.American journal of respiratory and critical care medicine · 2024Article
- The utility of quantitative computed tomography in cohort studies of chronic obstructive pulmonary disease: a narrative review.Journal of thoracic disease · 2023Review
- Repeatability of Pulmonary Quantitative Computed Tomography Measurements in Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2023Article
- Treatment Trials in Young Patients with Chronic Obstructive Pulmonary Disease and Pre-Chronic Obstructive Pulmonary Disease Patients: Time to Move Forward.American journal of respiratory and critical care medicine · 2022Review
- Article
- Imaging Advances in Chronic Obstructive Pulmonary Disease. Insights from the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) Study.American journal of respiratory and critical care medicine · 2019Review
- Exposure to Traffic Emissions and Fine Particulate Matter and Computed Tomography Measures of the Lung and Airways.Epidemiology (Cambridge, Mass.) · 2018Article
- Recent Advances in Computed Tomography Imaging in Chronic Obstructive Pulmonary Disease.Annals of the American Thoracic Society · 2018Review
- Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications.The British journal of radiology · 2018Review
- Computed Tomography Measure of Lung at Risk and Lung Function Decline in Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2017Article
- Advances in Chronic Obstructive Pulmonary Disease Imaging.Barcelona respiratory network reviewsArticle
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Authors and funding
16 authors at 8 institutions in 1 country.
Funding
Abstract
RATIONALE AND
objectiveEmphysema is characterized by airspace dilation, inflammation, and irregular deposition of elastin and collagen in the interstitium. Computed tomographic studies have reported that lung mass (LM) may be increased in smokers, a finding attributed to inflammatory and parenchymal remodeling processes observed on histopathology. We sought to examine the epidemiologic and clinical associations of LM in smokers. MATERIALS AND
methodsBaseline epidemiologic, clinical, and computed tomography (CT) data (n = 8156) from smokers enrolled into the COPDGene Study were analyzed. LM was calculated from the CT scan. Changes in lung function at 5 years' follow-up were available from 1623 subjects. Regression analysis was performed to assess for associations of LM with forced expiratory volume in 1 second (FEV
resultsSubjects with Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1 chronic obstructive pulmonary disease had greater LM than either smokers with normal lung function or those with GOLD 2-4 chronic obstructive pulmonary disease (P < 0.001 for both comparisons). LM was predictive of the rate of the decline in FEV
conclusionsOur cross-sectional data suggest the presence of a biphasic radiological remodeling process in smokers: the presence of such nonlinearity must be accounted for in longitudinal computed tomographic studies. Baseline LM predicts the decline in lung function.
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Registered trials
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.