This study presents a noninvasive, interpretable random forest model that integrates CT radiomics, CTR, and selected clinical variables to predict EGFR mutation status in small (≤ 3 cm) lung adenocarcinoma nodules. The gene discussed is EGFR; the disease is lung adenocarcinoma.