Evaluate the value of 18F-FDG PET-CT imaging in predicting the mutationsin epidermal growth factor receptor in lung adenocarcinoma / 中华肿瘤杂志

ABSTRACT

Objective@#To investigate the value of maximum Standardized Uptake Value(SUVmax), Metabolic Tumor Volume (MTV) and Total Lesion Glycolysis (TLG) calculated from 18F-FDG PET-CT in predicting the presence of epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma.@*Methods@#We retrospectively reviewed 137 lung adenocarcinoma patients with EGFR mutations testing and pretreatment 18F-FDG PET-CT. Receiver Operating Characteristic (ROC) curve analysis was performed to quantify the predictive value of SUVmax、MTV、TLG. A multivariate logistic regression analysis was used to evaluate the predictive value of EGFR mutation.@*Results@#Among 137 lung adenocarcinoma patients, 86(62.8%, 86/137) were identified with EGFR mutations. The SUVmax, MTV and TLG were 7.4, 5.28 cm3, 20.20, respectively. The optimal cut-off values of SUVmax, MTV and TLG were 7.99(AUC=0.658, 95% CI=0.566~0.752, P=0.002), 6.09 cm3(AUC=0.644, 95% CI=0.550~0.737, P=0.005), 35.08(AUC=0.650, 95% CI= 0.557~0.744, P=0.003), respectively. Multivariate analysis showed that TLG and smoking status were the most significant predictors of EGFR mutation(all P<0.05).@*Conclusion@#TLG in 18F-FDG PET/CT is an independent factor for predicting EGFR mutation in patients with lung adenocarcinoma, and has certain reference value for predicting EGFR mutation.