(37) also showed that a combined model integrating PET/CT radiomics with CT morphological features was more effective in predicting EGFR mutations in lung adenocarcinoma than a model based on PET/CT radiomics alone (AUC: 0.84 vs. 0.76 in the training group and 0.81 vs. 0.75 in the validation group). This evidence concerns the gene EGFR and lung adenocarcinoma.