The study is designed to validate a range of AI-based quantitative lung CT (QCT) measures and to correlate the imaging-derived phenotypes with clinical outcomes to determine their potential for phenotyping of patients with COPD. The study also aims to explore the value of small airway analysis as a predictor of disease progression and exacerbations.
To analyze the study cohort, Thirona’s Bronchi-Arterial (LungQ® BA) and Mucus Plugs (LungQ® MP) metrics are used, providing detailed measurements of airway wall thickness, the total number and volume of mucus plugs, airway widening and narrowing on a segmental level.
