title: CT characteristics of non-small cell lung cancer with epidermal growth factor receptor mutation: a systematic review and meta-analysis.
abstract: To systematically investigate the relationship between CT morphological features and the presence of epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC).
  
  
  
  All studies about the CT morphological features of NSCLC with EGFR mutations published between January 1, 2000 and March 15, 2015 were searched in the PubMed and EMBASE databases. Qualified studies were selected according to inclusion criteria. The frequency of EGFR mutations and CT features of ground-glass opacity (GGO) content, tumor size, cavitation, air-bronchogram, lobulation, and spiculation were extracted. The relationship between EGFR mutations and each of these CT features was tested based upon the weighted mean difference or inverse variance in the form of an odds ratio at a 95% confidence interval using Forest Plots. The publication bias was examined using Egger's test.
  
  
  
  A total of 13 studies, consisting of 2146 NSCLC patients, were included, and 51.12% (1097/2146) of patients had EGFR mutations. The EGFR mutations were present in NSCLC with part-solid GGO in contrast to nonsolid GGO (OR = 0.49, 95% CI = 0.25-0.96, P = 0.04). Other CT features such as tumor size, cavitation, air-bronchogram, lobulation and spiculation did not demonstrate statistically significant correlation with EGFR mutations individually (P = 0.91; 0.67; 0.12; 0.45; and 0.36, respectively). No publication bias among the selected studies was noted in this meta-analysis (Egger's tests, P > 0.05 for all).
  
  
  
  This meta-analysis demonstrated that NSCLC with CT morphological features of part-solid GGO tended to be EGFR mutated, which might provide an important clue for the correct selection of patients treated with molecular targeted therapies.
authors.affiliation: Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, NO.2901 Caolang Road, Jinshan, Shanghai, 201508, China.|Department of Radiology, Qingpu branch of Zhongshan Hospital, Fudan University, Shanghai, 201700, China.
authors.forename: Zenghui
authors.initials: Z
authors.lastname: Cheng
authors.affiliation: Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, NO.2901 Caolang Road, Jinshan, Shanghai, 201508, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Shan
authors.affiliation: Department of Medical Imaging, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, M4N 3M5, Canada.
authors.forename: Yuesong
authors.initials: Y
authors.lastname: Yang
authors.affiliation: Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, NO.2901 Caolang Road, Jinshan, Shanghai, 201508, China.
authors.forename: Yuxin
authors.initials: Y
authors.lastname: Shi
authors.affiliation: Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, NO.2901 Caolang Road, Jinshan, Shanghai, 201508, China. zhangzyfd@hotmail.com.
authors.forename: Zhiyong
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D002289:Carcinoma, Non-Small-Cell Lung / Q000000981:diagnostic imaging* / Q000235:genetics; D066246:ErbB Receptors / Q000235:genetics*; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging* / Q000235:genetics; D009154:Mutation; D059645:Mutation Rate; D009367:Neoplasm Staging; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: C512478:EGFR protein, human; D066246:ErbB Receptors
keywords: Computed tomography; EGFR; Non-small cell lung cancer