文献类型：期刊文献

英文题名：Lung adenocarcinoma: development of nomograms based on PET/CT images for prediction of epidermal growth factor receptor mutation status and subtypes

作者：Huang, Lele[1,2,3,4,5];Cao, Yuntai[6];Zhou, Fei[7];Li, Jicheng[2,8];Ren, Jialiang[9];Zhang, Guojin[10];Luo, Yongjun[1,2,3,4,5];Liu, Jiangyan[2,4,5];He, Jiangping[11];Zhou, Junlin[1,4,5]

第一作者：Huang, Lele

通信作者：Zhou, JL[1];Zhou, JL[2]

机构：[1]Lanzhou Univ, Hosp 2, Dept Radiol, Cuiyingmen 82, Lanzhou 730030, Peoples R China;[2]Lanzhou Univ, Hosp 2, Dept Nucl Med, Lanzhou, Peoples R China;[3]Lanzhou Univ, Clin Sch 2, Lanzhou, Peoples R China;[4]Key Lab Med Imaging Gansu Prov, Lanzhou, Peoples R China;[5]Gansu Int Sci & Technol Cooperat Base Med Imaging, Lanzhou, Peoples R China;[6]Qinghai Univ, Affiliated Hosp, Dept Radiol, Xining, Peoples R China;[7]Gansu Univ Chinese Med, Sch Informat Sci & Engn, Lanzhou, Peoples R China;[8]Lanzhou Univ, Sch Publ Hlth, Lanzhou, Peoples R China;[9]GE Healthcare, Dept Pharmaceut Diag, Beijing, Peoples R China;[10]Sichuan Acad Med Sci, Sichuan Prov Peoples Hosp, Chengdu, Peoples R China;[11]Lanzhou Univ Finance & Econ, Dept Elect Engn, Lanzhou, Peoples R China

第一机构：Lanzhou Univ, Hosp 2, Dept Radiol, Cuiyingmen 82, Lanzhou 730030, Peoples R China

通信机构：[1]corresponding author), Lanzhou Univ, Hosp 2, Dept Radiol, Cuiyingmen 82, Lanzhou 730030, Peoples R China;[2]corresponding author), Key Lab Med Imaging Gansu Prov, Lanzhou, Peoples R China.

年份：2022

卷号：43

期号：3

起止页码：310

外文期刊名：NUCLEAR MEDICINE COMMUNICATIONS

收录：;Scopus(收录号：2-s2.0-85124438957);WOS:【SCI-EXPANDED(收录号:WOS:000753310600009)】；

基金：This work was supported by the Natural Science Foundation of Gansu Province (grant number 20JR5RA188), Projects supported by Science and Technology Bureau of Lanzhou city (2020-XG-55).

语种：英文

外文关键词：F-18-FDG PET; CT; epidermal growth factor receptor; lung adenocarcinoma; mutation; nomogram

摘要：Objective To develop nomograms that combine clinical characteristics, computed tomographic (CT) features and F-18-fluorodeoxyglucose PET (F-18-FDG PET) metabolic parameters for individual prediction of epidermal growth factor receptor (EGFR) mutation status and exon 19 deletion mutation and exon 21 point mutation (21 L858R) subtypes in lung adenocarcinoma. Methods In total 124 lung adenocarcinoma patients who underwent EGFR mutation testing and whole-body F-18-FDG PET/CT were enrolled. Each patient's clinical characteristics (age, sex, smoking history, etc.), CT features (size, location, margins, etc.) and four metabolic parameters (SUVmax, SUVmean, MTV and TLG) were recorded and analyzed. Logistic regression analyses were performed to screen for significant predictors of EGFR mutation status and subtypes, and these predictors were presented as easy-to-use nomograms. Results According to the results of multiple regression analysis, three nomograms for individualized prediction of EGFR mutation status and subtypes were constructed. The area under curve values of three nomograms were 0.852 (95% CI, 0.783-0.920), 0.857 (95% CI, 0.778-0.937) and 0.893 (95% CI, 0.819-0.968) of EGFR mutation vs. wild-type, 19 deletion mutation vs. wild-type and 21 L858R vs. wild-type, respectively. Only calcification showed significant differences between the EGFR 19 deletion and 21 L858R mutations. Conclusion EGFR 21 L858R mutation was more likely to be nonsolid texture with air bronchograms and pleural retraction on CT images. And they were more likely to be associated with lower FDG metabolic activity compared with those wild-types. The sex difference was mainly caused by the 19 deletion mutation, and calcification was more frequent in them.