Value of 18F-FDG PET-CT imaging to predict epidermal growth factor receptor mutations in patients with lung squamous cell carcinoma
10.3760/cma.j.cn112152-20190111-00006
- VernacularTitle:18F-脱氧葡萄糖正电子发射计算机断层扫描显像在预测肺鳞癌表皮生长因子受体突变中的价值
- Author:
Chengyong ZHAO
1
;
Xiaoyi DENG
;
Hongsong WANG
;
Guoping CAO
;
Jianan DING
;
Chongyang DING
Author Information
1. 江苏大学附属澳洋医院影像科，苏州 215600
- Keywords:
Lung neoplasms, Squamous cell carcinoma;
Epidermal growthfactor receptor;
Tomography, Emission-computed;
18F-fluorodeoxy glucose
- From:
Chinese Journal of Oncology
2021;43(7):795-800
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the value of 18F-fluorodeoxy glucose ( 18F-FDG) positron emission tomography/computed tomography (PET-CT) in predicting the epidermal growth factor receptor (EGFR) mutations in patients with lung squamous cell carcinoma. Methods:We retrospectively analyzed the clinical data and 18F-FDG PET-CT imaging data of 206 patients with lung squamous cell carcinoma confirmed by pathology and underwent EGFR mutation test in the First Affiliated Hospital of Nanjing Medical University from June 2013 to October 2018. Receiver operating characteristic (ROC) curve analysis was performed to quantify the predictive value of maximum standard uptake value (SUV max), metabolic tumor volume (MTV), total lesion glycolysis (TLG). The Chi- squared test was used to assess the difference in PET parameters. A multivariate Logistic regression analysis was performed to yield the parameters with statistic difference. Results:All of 206 patients with lung squamous cell carcinoma showed a high 18F-FDG uptake. The median of SUV max, MTV and TLG were 19.14, 37.69 cm 3 and 291.73, respectively. Among the 206 patients, EGFR mutations were identified in 14 cases, including 7 with exon 21 (L858R) mutation, 6 with exon 19 mutation and 1 with exon 20 mutation. ROC curve showed that the AUC of SUV max, MTV and TLG were 0.624 (95% CI=0.454-0.794, P=0.122), 0.892 (95% CI=0.811-0.973, P<0.001) and 0.860 (95% CI=0.768-0.952, P<0.001), respectively. The median SUV max (19.14) was used as the cutoff points due to the small value of AUC. The cutoff point of MTV was 20.09 cm 3, the cutoff point of TLG was 211.07. Univariate analysis showed that the sex, smoking history, M stage, MTV and TLG were associated with EGFR mutations (all P<0.05). Logistic multivariate analysis showed that the sex, smoking history and TLG were the independent predictors of EGFR mutation (all P<0.05). Conclusion:TLG detected by 18F-FDG PET/CT is an independent factor for predicting EGFR mutation in patients with lung squamous cell carcinoma, and has certain reference value for predicting EGFR mutation.
