Application of Chest CT in predicting EGFR Gene Mutations in peripheral infiltrating Lung Adenocarcinoma
Objective To analyze the application value of chest computed tomography(CT)in predicting epidermal growth factor receptor(EGFR)gene mutations in peripheral invasive lung adenocarcinoma.Methods A total of 462 patients with peripheral infiltrating lung adenocarcinoma in our hospital from January 2020 to February 2023 were selected for chest CT examination.The EGFR gene mutation patterns of different histological subtypes(adherent as the main type,acinar as the main type,papillary as the main type,micropapillary as the main type,and solid as the main type)and Chest CT image features(location,morphology,ground glass density shadow,maximum diameter,tumor diameter ratio in ground glass density shadow,vacuolar sign,bronchial inflation sign,spiculation,and tumor without cystic changes)were compared,and the Logistic regression analysis was applied to investigate the correlation between chest CT image features and EGFR gene mutations.Results There were a total of 180 cases of EGFR gene mutations in this group(mutation group)and 282 cases of wild-type mutations(wild-type group).By analyzing the correlation between histological subtypes and EGFR gene mutation status,it was found that the proportion of adherent dominant types in the mutation group was significantly higher than that in the wild-type group,and the difference was statistically significant(P＜0.05),while there was no statistically significant difference in other types(P＞0.05).The analysis of chest CT examination results showed that the proportion of ground glass density shadows in the wild group was significantly higher than that in the mutant group,and the proportion of tumors without cystic changes was significantly lower than that in the mutant group,with statistical significance(P＜0.05).The results of Logistic regression analysis indicate that having ground glass density shadows and tumors without cystic changes have significant clinical value in predicting EGFR gene mutations.Conclusion Chest CT can accurately predict EGFR gene mutations in peripheral invasive lung adenocarcinoma.
万方数据
维普
