Deep Learning Estimation of Small Airways Disease from Inspiratory Chest CT is Associated with FEV Decline in COPD
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Rationale: Quantifying functional small airways disease (fSAD) requires additional expiratory computed tomography (CT) scan, limiting clinical applicability. Artificial intelligence (AI) could enable fSAD quantification from chest CT scan at total lung capacity (TLC) alone (fSAD).
Objectives: To evaluate an AI model for estimating fSAD and study its clinical associations in chronic obstructive pulmonary disease (COPD).
Methods: We analyzed 2513 participants from the SubPopulations and InteRmediate Outcome Measures in COPD Study (SPIROMICS). Using a subset ( = 1055), we developed a generative model to produce virtual expiratory CTs for estimating fSAD in the remaining 1458 SPIROMICS participants. We compared fSAD with dual volume, parametric response mapping fSAD. We investigated univariate and multivariable associations of fSAD with FEV, FEV/FVC, six-minute walk distance (6MWD), St. George's Respiratory Questionnaire (SGRQ), and FEV decline. The results were validated in a subset ( = 458) from COPDGene study. Multivariable models were adjusted for age, race, sex, BMI, baseline FEV, smoking pack years, smoking status, and percent emphysema.
Measurements And Main Results: Inspiratory fSAD was highly correlated with fSAD in SPIROMICS (Pearson's R = 0.895) and COPDGene (R = 0.897) cohorts. In SPIROMICS, fSAD was associated with FEV (L) (adj.β = -0.034, < 0.001), FEV/FVC (adj.β = -0.008, < 0.001), SGRQ (adj.β = 0.243, < 0.001), and FEV decline (mL / year) (adj.β = -1.156, < 0.001). fSAD was also associated with FEV (L) (adj.β = -0.032, < 0.001), FEV/FVC (adj.β = -0.007, < 0.001), SGRQ (adj.β = 0.190, = 0.02), and FEV decline (mL / year) (adj.β = -0.866, = 0.001) in COPDGene. We found fSAD to be more repeatable than fSAD with intraclass correlation of 0.99 (95% CI: 0.98, 0.99) vs. 0.83 (95% CI: 0.76, 0.88).
Conclusions: Inspiratory fSAD captures small airways disease as reliably as fSAD and is associated with FEV decline.