ReviewEuropean respiratory review : an official journal of the European Respiratory Society2024
Towards the adoption of quantitative computed tomography in the management of interstitial lung disease.
Review in European respiratory review : an official journal of the European Respiratory Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Contemporary Concise Review 2025: Interstitial Lung Disease.Respirology (Carlton, Vic.) · 2026Review
- High-resolution computed tomography assessment of connective tissue disease-associated interstitial lung disease: Advances in diagnosis and prognostic evaluation.World journal of radiology · 2026Review
- Toward precision imaging in interstitial lung disease: advances in quantitative imaging and artificial intelligence.Current opinion in pulmonary medicine · 2026Review
- Development and validation of a multivariate predictive model for the risk of refractory mycoplasma pneumoniae pneumonia in children based on quantitative computed tomography features.Translational pediatrics · 2026Article
- Changes in the Quantitative Computed Tomography Values in Drug-associated Interstitial Lung Disease Caused by Non-anticancer Drugs.Internal medicine (Tokyo, Japan) · 2026Article
- Automated diagnosis of usual interstitial pneumonia on chest CT via the mean curvature of isophotes.European journal of radiology open · 2026Article
- Deep learning-based quantitative CT assessment of interstitial lung abnormalities: prognostic risk thresholds in a health screening population.Scientific reports · 2026Article
- Advances in the Diagnosis of Rheumatoid Arthritis-Associated Interstitial Lung Disease: Integrating Conventional Tools and Emerging Biomarkers.International journal of molecular sciences · 2026Review
- Multidimensional lung imaging: integrated preclinical platforms enabling the identification of translational biomarkers for pulmonary research.Respiratory research · 2026Review
- Quantitative assessment of thoracic morphometry in interstitial lung diseases: a CT-based comparison of nonspecific interstitial pneumonia, usual interstitial pneumonia, and healthy control.Polish journal of radiology · 2026Article
- Non-contiguous computed tomography lung scans can be manipulated to permit artificial intelligence analyses for interstitial lung disease in systemic sclerosis.Biology methods & protocols · 2026Article
- Progressive pulmonary fibrosis: the importance of identification and intervention.European respiratory review : an official journal of the European Respiratory Society · 2026Review
- Current diagnosis, epidemiology, and management of interstitial lung abnormalities.Frontiers in medicine · 2026Review
- Evaluating Deployment-related Respiratory Diseases in Military Veterans.Annals of the American Thoracic Society · 2025Review
- A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2025Article
- Effect of slice thickness on quantitative analysis of interstitial lung disease: a retrospective volumetric chest CT study.La Radiologia medica · 2025Article
- Article
- Imaging technologies in experimental pulmonary fibrosis research: essential tool for enhanced translational relevance.European respiratory review : an official journal of the European Respiratory Society · 2025Review
- Extent of lung fibrosis is of greater prognostic importance than HRCT pattern in patients with progressive pulmonary fibrosis: data from the ILD-PRO registry.Respiratory research · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The shortcomings of qualitative visual assessment have led to the development of computer-based tools to characterise and quantify disease on high-resolution computed tomography (HRCT) in patients with interstitial lung diseases (ILDs). Quantitative CT (QCT) software enables quantification of patterns on HRCT with results that are objective, reproducible, sensitive to change and predictive of disease progression. Applications developed to provide a diagnosis or pattern classification are mainly based on artificial intelligence. Deep learning, which identifies patterns in high-dimensional data and maps them to segmentations or outcomes, can be used to identify the imaging patterns that most accurately predict disease progression. Optimisation of QCT software will require the implementation of protocol standards to generate data of sufficient quality for use in computerised applications and the identification of diagnostic, imaging and physiological features that are robustly associated with mortality for use as anchors in the development of algorithms. Consortia such as the Open Source Imaging Consortium have a key role to play in the collation of imaging and clinical data that can be used to identify digital imaging biomarkers that inform diagnosis, prognosis and response to therapy.
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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.