This study evaluated the measurement variability and reproducibility of quantitative computed tomography (QCT) between supine and prone CT in patients with interstitial lung disease (ILD). A-view Lung Texture software by Coreline Soft was utilized to automatically segment the lung parenchyma and quantify abnormal patterns such as GGO, reticular opacity, and honeycombing. The results showed high reproducibility (ICC >0.75) across most parameters, although variability increased with disease severity. Notably, honeycombing measured in the prone position demonstrated a stronger correlation with PFT parameters. The variability in fibrosis extent remained at approximately 2%. In conclusion, while prone CT is reliable for single-time-point assessments, caution is warranted for longitudinal comparisons in advanced or GGO-dominant ILD.
These findings suggest that imaging position can influence quantitative measurements, highlighting the importance of consistent acquisition protocols in longitudinal ILD assessment.
In this study, AVIEW Lung Texture software enabled automated segmentation and quantification of ILD-related patterns, supporting reproducible analysis across different scan conditions.