Relationship between pathological features,CT examination imaging features,and epidermal growth factor receptor mutations in lung cancer patients
Objective To explore the relationship between pathological features,CT examination imaging features,and epidermal growth factor receptor(EGFR)mutations in lung cancer patients.Method A total of 80 lung cancer pa-tients were selected and divided into mutation group and unmutated group based on EGFR gene mutations.The clinical features,pathological features,and CT examination imaging features of the two groups were compared.The influencing factors of EGFR gene mutations in lung cancer patients were analyzed by multivariate Logistic regression analysis.Re-sult The results of EGFR gene mutation detection showed that among 80 lung cancer patients,49 cases had EGFR gene mutations and 31 cases had no mutations.The differences in age,pleural indentation sign,necrosis sign,spicule sign,lob-ulation sign,smoking index,and pathological classification between the mutation group and the unmutated group of lung cancer patients were statistically significant(P<0.05).The multivariate Logistic regression analysis showed that pleural indentation sign,necrosis sign,spicule sign,lobulation sign,non-smoking,and pathological classification as acinar type were all independent risk factors for EGFR gene mutations in lung cancer patients(P<0.05).Conclusion Pleural indenta-tion sign,necrosis sign,spicule sign,lobulation sign,non-smoking,and pathological classification as acinar type are all in-dependent risk factors for EGFR gene mutations in lung cancer patients,which have important clinical significance for the diagnosis and treatment of lung cancer.
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