To predict the Ki-67 index, the AUC value of the clinical prediction model established in this study was only 0.72, while that of the radiomics signature was 0.86, much higher than that of the clinical model, indicating that the radiomics signature was significantly better than the simple clinical data prediction model in predicting the Ki-67 index of lung cancer. The gene discussed is MKI67; the disease is lung carcinoma.