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Background  The purpose of this study was to investigate an association between  EGFR  mutation status and   18 F‐fluorodeoxyglucose positron emission tomography‐computed tomography ( 18 F‐FDG PET‐CT) image features in lung adenocarcinoma.    Methods  Retrospective analysis of the data of 139 patients with lung adenocarcinoma confirmed by surgical pathology who underwent preoperative  18 F‐FDG PET‐CT was conducted. Correlations between  EGFR  mutation status, clinical characteristics, and PET‐CT parameters, including the maximum standardized uptake value (SUVmax), the mean of the SUV (SUVmean), the peak of the SUV (SUVpeak) of the primary tumor, and the ratio of SUVmax between the primary tumor and the mediastinal blood pool (SUVratio), were statistically analyzed. Multivariate logistic regression analysis was performed to identify predictors of  EGFR  mutation. Receiver operating characteristic curves of statistical quantitative parameters were compared.    Results   EGFR  mutations were detected in 74 (53.2%) of the 139 lung adenocarcinomas and were more frequent in non‐smoking patients. Univariate analysis showed that the SUVmax, SUVmean, SUVpeak, and SUVratio were lower in  EGFR ‐mutated than in wild‐type tumors. The receiver operating characteristic curves showed no significant differences between their diagnostic efficiencies. Multivariate logistic regression analysis showed that being a never smoker was an independent predictor of  EGFR  mutation.    Conclusion  Quantitative parameters based on  18 F‐FDG PET‐CT have modest power to predict the presence of  EGFR  mutation in lung adenocarcinoma; however, when compared to smoking history, they are not good or significant predictive factors.

thoracic cancer

Correlation between  EGFR  mutation status and F 18 ‐fluorodeoxyglucose positron emission tomography‐computed tomography image features in lung adenocarcinoma