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Radiomics differences between GOLD I-II and GOLD III-IV in patients with chronic obstructive pulmonary disease
Zhiwei Li1, Chaoping Wang2,3, Yufei Sun4
1Department of Radiology, Suining Central Hospital, Suining, China.
Journal of Thoracic Disease
|April 16, 2026
Summary
Radiomics features from CT scans can help assess chronic obstructive pulmonary disease (COPD) severity. Two specific radiomics features showed potential for evaluating COPD patients
Area of Science:
- Radiology
- Pulmonology
- Medical Imaging
- Data Science
Background:
- High-resolution computed tomography (HRCT) is crucial for characterizing structural lung changes in chronic obstructive pulmonary disease (COPD).
- Radiomics offers quantitative feature extraction from medical images, aiding clinical decision-making in COPD.
Purpose of the Study:
- To explore radiomics features associated with lung function and disease severity in patients with COPD.
- To identify quantitative imaging biomarkers for COPD staging using HRCT data.
Main Methods:
- A cross-sectional study included 223 COPD patients, categorized by Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages.
- 944 radiomics features were extracted from HRCT scans.
- Least absolute shrinkage and selection operator (LASSO) regression and logistic regression were used for feature selection and predictive modeling.
Main Results:
- Two radiomics features, original_firstorder_10Percentile and wavelet.LHL_glszm_GrayLevelVariance, were independently associated with GOLD stages.
- The predictive model achieved a C-index of 0.838 and an AUC of 0.820.
- Decision curve analysis demonstrated the clinical utility of the developed nomogram.
Conclusions:
- Significant differences in radiomics features exist between GOLD stages I-II and III-IV COPD patients.
- The identified CT-based radiomics features show potential for evaluating COPD severity.
- Further multicenter validation is required for these findings.
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