ReviewRadiology2021
Interstitial Lung Abnormalities: State of the Art.
Review in Radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
90 citing papers in PubMed, 3 syntheses or guidelines pooled it, 145 citations in OpenAlex.
- Approach to the Evaluation and Management of Interstitial Lung Abnormalities: An Official American Thoracic Society Clinical Statement.American journal of respiratory and critical care medicine · 2025Guideline
- Clinical outcomes of interstitial lung abnormalities: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies.Respiratory research · 2022Pooled it
- Longitudinal Assessment of Chest CT Findings and Pulmonary Function after COVID-19 Infection.Radiology · 2023Trial
- Integrated machine learning risk model for predicting radiation pneumonitis in lung cancer patients with interstitial lung disease.Annals of medicine · 2026Article
- Incidence of and risk factors for immune checkpoint inhibitor-related pneumonitis in thoracic malignancies: a prospective multicenter study.The oncologist · 2026Observational
- Prognostic value of AI-derived probability of interstitial lung abnormalities and interstitial lung disease in patients with esophageal cancer.Japanese journal of radiology · 2026Article
- Chest CT imaging toward personalized management of chronic obstructive pulmonary disease, asthma, and bronchiectasis: pulmonologist perspectives.Japanese journal of radiology · 2026Review
- Comparing the detectability of pulmonary nodules on two ultra-high resolution CT scanners: a preliminary phantom study.European radiology · 2026Article
- From ideal respiratory health to chronic lung disease: indicators of impaired respiratory health.Expert review of respiratory medicine · 2026Review
- Automated quantification of interstitial lung abnormalities and emphysema on computed tomography: a predictive marker for postoperative pulmonary complications after esophagectomy.Esophagus : official journal of the Japan Esophageal Society · 2026Article
- Prevalence of Interstitial Lung Abnormalities (ILAs) in Italian Lung Cancer Screening Programs: A Monocentric Study.Journal of clinical medicine · 2026Article
- Automated interstitial lung abnormalities detection at CT: external validation and potential recognition of traction bronchiectasis/bronchiolectasis.Japanese journal of radiology · 2026Article
- Deep learning-based quantitative CT assessment of interstitial lung abnormalities: prognostic risk thresholds in a health screening population.Scientific reports · 2026Article
- Incidental pulmonary findings on CT in daily practice: the nodule and the interstitial lung abnormalities - what's old, what's new.La Radiologia medica · 2026Review
- Deep learning-derived quantitative interstitial abnormalities in early rheumatoid arthritis and healthy controls: A multicenter, prospective cross-sectional study.medRxiv : the preprint server for health sciences · 2026Article
- [Evaluation and clinical management of interstitial lung abnormalities : Position paper of the Austrian Society of Pneumology (ÖGP) and the Austrian Radiological Society (ÖRG) 2026].Wiener klinische Wochenschrift · 2026Review
- Time-of-day radiotherapy alters radiation pneumonitis risk but not survival in lung cancer patients with interstitial lung disease.Therapeutic advances in medical oncology · 2026Article
- Screening for lung fibrosis using serum surfactant protein-D, KL-6, and a deep learning algorithm on chest radiographs: a prospective observational study.BMC pulmonary medicine · 2025Observational
- Interactions between interstitial lung abnormalities and immune checkpoint inhibitor therapy in non-small cell lung cancer: A review of current understanding and future directions.Human vaccines & immunotherapeutics · 2025Review
30 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The clinical importance of interstitial lung abnormality (ILA) is increasingly recognized. In July 2020, the Fleischner Society published a position paper about ILA. The purposes of this article are to summarize the definition, existing evidence, clinical management, and unresolved issues for ILA from a radiologic standpoint and to provide a practical guide for radiologists. ILA is a common incidental finding at CT and is often progressive and associated with worsened clinical outcomes. The hazard ratios for mortality range from 1.3 to 2.7 in large cohorts. Risk factors for ILA include age, smoking status, other inhalational exposures, and genetic factors (eg, gene encoding mucin 5B variant). Radiologists should systematically record the presence, morphologic characteristics, distribution, and subcategories of ILA (ie, nonsubpleural, subpleural nonfibrotic, and subpleural fibrotic), as these are informative for predicting progression and mortality. Clinically significant interstitial lung disease should not be considered ILA. Individuals with ILA are triaged into higher- and lower-risk groups depending on their risk factors for progression, and systematic follow-up, including CT, should be considered for the higher-risk group. Artificial intelligence-based automated analysis for ILA may be helpful, but further validation and improvement are needed. Radiologists have a central role in clinical management and research on ILA.
Indexed as
Identifiers
What OpenQuestion holds
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.