Evaluate the value of 18F-FDG PET-CT imaging in predicting the mutationsin epidermal growth factor receptor in lung adenocarcinoma
10.3760/cma.j.issn.0253-3766.2017.07.010
- VernacularTitle: 18F－FDG PET－CT显像预测肺腺癌人表皮生长因子受体突变的价值
- Author:
Chongyang DING
1
;
Wenping YANG
1
;
Zhe GUO
1
;
Jin SUN
1
;
Yangyang LI
1
;
Tiannü LI
1
Author Information
1. Nuclear Medicine department, the First Affiliated Hospital of NanjingMedical University, Nanjing 210029, China
- Publication Type:Clinical Trail
- Keywords:
Receptor, epidermal growth factor;
Lung neoplasms;
Tomography, X-ray computed;
Tomography, emission-computed;
Fluorodeoxyglucose F18
- From:
Chinese Journal of Oncology
2017;39(7):528-531
- CountryChina
- Language:Chinese
-
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.
