ArticleEuropean radiology2021
Radiomics approach for survival prediction in chronic obstructive pulmonary disease.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Chest CT in the evaluation of chronic obstructive pulmonary disease: recommendations of Asian Society of Thoracic Radiology.The British journal of radiology · 2026Guideline
- Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.European radiology · 2026Article
- Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics.BMC medical imaging · 2025Article
- Habitat imaging radiomics of chest CT identifies noninfectious acute exacerbations in chronic obstructive pulmonary disease.Frontiers in medicine · 2025Article
- CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD.Military Medical Research · 2024Article
- Study on Predicting Clinical Stage of Patients with Bronchial Asthma Based on CT Radiomics.Journal of asthma and allergy · 2024Article
- The utility of quantitative computed tomography in cohort studies of chronic obstructive pulmonary disease: a narrative review.Journal of thoracic disease · 2023Review
- Computerized Tomographic Assessment for Phenotyping Asthma.Allergy, asthma & immunology research · 2023Article
- COPD Risk Factor Profiles in General Population and Referred Patients: Potential Etiotypes.International journal of chronic obstructive pulmonary disease · 2023Observational
- Lung Radiomics Features Selection for COPD Stage Classification Based on Auto-Metric Graph Neural Network.Diagnostics (Basel, Switzerland) · 2022Article
- A novel computed tomography radiomic nomogram for early evaluation of small airway dysfunction development.Frontiers in medicine · 2022Article
- Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease.Scientific reports · 2021Article
- Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians.Journal of personalized medicine · 2021Review
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo apply radiomics analysis for overall survival prediction in chronic obstructive pulmonary disease (COPD), and evaluate the performance of the radiomics signature (RS).
methodsThis study included 344 patients from the Korean Obstructive Lung Disease (KOLD) cohort. External validation was performed on a cohort of 112 patients. In total, 525 chest CT-based radiomics features were semi-automatically extracted. The five most useful features for survival prediction were selected by least absolute shrinkage and selection operation (LASSO) Cox regression analysis and used to generate a RS. The ability of the RS for classifying COPD patients into high or low mortality risk groups was evaluated with the Kaplan-Meier survival analysis and Cox proportional hazards regression analysis.
resultsThe five features remaining after the LASSO analysis were %LAA
conclusionsA radiomics approach for survival prediction and risk stratification in COPD patients is feasible, and the constructed radiomics model demonstrated acceptable performance. The RS derived from chest CT data of COPD patients was able to effectively identify those at increased risk of mortality. KEY POINTS: • A total of 525 chest CT-based radiomics features were extracted and the five radiomics features of %LAA
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