AI-based CT quantification reveals small airway loss and vascular simplification in rheumatoid arthritis-associated lung disease.
OBJECTIVES: To investigate pulmonary structural changes in patients with rheumatoid arthritis (RA) using an artificial intelligence (AI)-based CT segmentation model and evaluate the diagnostic potential of quantitative imaging biomarkers. CONCLUSION: RA patients exhibit quantifiable small airway loss and imaging features suggestive of vascular simplification.
OBJECTIVES: To investigate pulmonary structural changes in patients with rheumatoid arthritis (RA) using an artificial intelligence (AI)-based CT segmentation model and evaluate the diagnostic potential of quantitative imaging biomarkers. CONCLUSION: RA patients exhibit quantifiable small airway loss and imaging features suggestive of vascular simplification.
What the study was
- Study design
- Cross-sectional study
- Sample size
- 556
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Clinical rheumatology
Why it surfaced
Relevant AI/ML in clinical diagnostics and imaging study (promising preliminary signal) meets standard-priority threshold.
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