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

doi:10.1097/MNM.0000000000001519

	Lung adenocarcinoma: development of nomograms based on PET/CT images for prediction of epidermal growth factor receptor mutation status and subtypes
	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, Jiangping11 ; Zhou, Junlin 1,4,5
	2022-03
发表期刊	NUCLEAR MEDICINE COMMUNICATIONS
卷号	43 期号:3 页码:310-322
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.
关键词	F-18-FDG PET CT epidermal growth factor receptor lung adenocarcinoma mutation nomogram
DOI	10.1097/MNM.0000000000001519
收录类别	SCIE
ISSN	0143-3636
语种	英语
WOS研究方向	Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000753310600009
出版者	LIPPINCOTT WILLIAMS & WILKINS
原始文献类型	Article
EISSN	1473-5628
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/32024
专题	信息工程与人工智能学院
作者单位	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;
推荐引用方式 GB/T 7714	Huang, Lele,Cao, Yuntai,Zhou, Fei,et al. Lung adenocarcinoma: development of nomograms based on PET/CT images for prediction of epidermal growth factor receptor mutation status and subtypes[J]. NUCLEAR MEDICINE COMMUNICATIONS,2022,43(3):310-322.
APA	Huang, Lele.,Cao, Yuntai.,Zhou, Fei.,Li, Jicheng.,Ren, Jialiang.,...&Zhou, Junlin.(2022).Lung adenocarcinoma: development of nomograms based on PET/CT images for prediction of epidermal growth factor receptor mutation status and subtypes.NUCLEAR MEDICINE COMMUNICATIONS,43(3),310-322.
MLA	Huang, Lele,et al."Lung adenocarcinoma: development of nomograms based on PET/CT images for prediction of epidermal growth factor receptor mutation status and subtypes".NUCLEAR MEDICINE COMMUNICATIONS 43.3(2022):310-322.