ArticleAcademic radiology2017
The Objective Identification and Quantification of Interstitial Lung Abnormalities 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. It is linked to trial NCT04503044 (Interstitial Lung Abnormalities--Qualitative Imaging Cohort Study in CT Lung Cancer Screening Population), which is not on this map. Cited by 44 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Interstitial Lung Abnormalities--Qualitative Imaging Cohort Study in CT Lung Cancer Screening Population
Who cites it
44 citing papers in PubMed.
- Interstitial lung abnormalities in a large clinical lung cancer screening cohort: association with mortality and ILD diagnosis.Respiratory research · 2023Trial
- From ideal respiratory health to chronic lung disease: indicators of impaired respiratory health.Expert review of respiratory medicine · 2026Review
- Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation.Journal of rheumatic diseases · 2026Review
- Automated interstitial lung abnormalities detection at CT: external validation and potential recognition of traction bronchiectasis/bronchiolectasis.Japanese journal of radiology · 2026Article
- Visual and Quantitative Interstitial Lung Abnormality Progression in COPDGene.American journal of respiratory and critical care medicine · 2025Article
- Polygenic risk scores for rheumatoid arthritis and idiopathic pulmonary fibrosis and associations with RA, interstitial lung abnormalities, and quantitative interstitial abnormalities among smokers.Seminars in arthritis and rheumatism · 2025Article
- A Comprehensive Review of Interstitial Lung Abnormalities.Respirology (Carlton, Vic.) · 2025Review
- Cigarette smoking decreases macrophage-dependent clearance to impact the biological effects of occupational and environmental particle exposures.Frontiers in public health · 2025Review
- Rheumatoid arthritis, quantitative parenchymal lung features and mortality among smokers.Rheumatology (Oxford, England) · 2025Article
- Review
- Profibrotic monocyte-derived alveolar macrophages are expanded in patients with persistent respiratory symptoms and radiographic abnormalities after COVID-19.Nature immunology · 2024Article
- Preacinar Arterial Dilation Mediates Outcomes of Quantitative Interstitial Abnormalities in the COPDGene Study.American journal of respiratory and critical care medicine · 2024Article
- Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study.Radiology · 2024Article
- Proteomic Biomarkers of Quantitative Interstitial Abnormalities in COPDGene and CARDIA Lung Study.American journal of respiratory and critical care medicine · 2024Article
- Mapping the Proteomic Landscape of Radiological Lung Abnormalities.American journal of respiratory and critical care medicine · 2024Article
- Article
- Utility of peripheral protein biomarkers for the prediction of incident interstitial features: a multicentre retrospective cohort study.BMJ open respiratory research · 2024Article
- Interstitial lung abnormality evaluated by an automated quantification system: prevalence and progression rate.Respiratory research · 2024Article
- Plasma metabolomics and quantitative interstitial abnormalities in ever-smokers.Respiratory research · 2023Article
- The utility of quantitative computed tomography in cohort studies of chronic obstructive pulmonary disease: a narrative review.Journal of thoracic disease · 2023Review
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
RATIONALE AND
objectivesPrevious investigation suggests that visually detected interstitial changes in the lung parenchyma of smokers are highly clinically relevant and predict outcomes, including death. Visual subjective analysis to detect these changes is time-consuming, insensitive to subtle changes, and requires training to enhance reproducibility. Objective detection of such changes could provide a method of disease identification without these limitations. The goal of this study was to develop and test a fully automated image processing tool to objectively identify radiographic features associated with interstitial abnormalities in the computed tomography scans of a large cohort of smokers. MATERIALS AND
methodsAn automated tool that uses local histogram analysis combined with distance from the pleural surface was used to detect radiographic features consistent with interstitial lung abnormalities in computed tomography scans from 2257 individuals from the Genetic Epidemiology of COPD study, a longitudinal observational study of smokers. The sensitivity and specificity of this tool was determined based on its ability to detect the visually identified presence of these abnormalities.
resultsThe tool had a sensitivity of 87.8% and a specificity of 57.5% for the detection of interstitial lung abnormalities, with a c-statistic of 0.82, and was 100% sensitive and 56.7% specific for the detection of the visual subtype of interstitial abnormalities called fibrotic parenchymal abnormalities, with a c-statistic of 0.89.
conclusionsIn smokers, a fully automated image processing tool is able to identify those individuals who have interstitial lung abnormalities with moderate sensitivity and specificity.
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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.