1. The model-based CT performed well in distinguishing different ILD-GAP stages (AUC = 0.901 in validation cohort);2. The nomogram model, combining the radiomics model and serum KL-6, further enhanced the prediction efficiency of GAP staging (AUC = 0.948, training cohort and AUC = 0.923, validation cohort). This evidence concerns the gene MUC1 and interstitial lung disease.