In this study, we demonstrated that the optimal selection of reconstruction parameters on CT-scan could enhance the predictive value of a radiomics signature to identify EGFR mutation status in early-stage lung adenocarcinoma. The gene discussed is EGFR; the disease is lung adenocarcinoma.