Radiogenomic correlation in lung adenocarcinoma with epidermal growth factor receptor mutations: Imaging features and histological subtypes
- Authors
- Hong, Su Jin; Kim, Tae Jung; Choi, Yo Won; Park, Jeong-Soo; Chung, Jin-Haeng; Lee, Kyung Won
- Issue Date
- Oct-2016
- Publisher
- SPRINGER
- Keywords
- Computed tomography (CT); Lung; Adenocarcinoma; Epidermal growth factor receptor (EGFR); Mutation
- Citation
- EUROPEAN RADIOLOGY, v.26, no.10, pp.3660 - 3668
- Indexed
- SCIE
SCOPUS
- Journal Title
- EUROPEAN RADIOLOGY
- Volume
- 26
- Number
- 10
- Start Page
- 3660
- End Page
- 3668
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153849
- DOI
- 10.1007/s00330-015-4196-z
- ISSN
- 0938-7994
- Abstract
- Objectives
To correlate imaging features of resected lung adenocarcinoma with epidermal growth factor receptor (EGFR) mutation and the IASLC/ATS/ERS classification histological subtypes.
Methods
In 250 consecutive patients with resected lung adenocarcinoma, EGFR mutation status was correlated with demographics, imaging features including ground-glass opacity (GGO) proportion and the IASLC/ATS/ERS classification histological subtypes.
Results
EGFR mutations were significantly more frequent in women (54.5 % vs. 38.1 %, p = 0.011) and in never-smokers (54.7 % vs. 35.3 %, p = 0.003). GGO proportion was significantly higher in tumours with EGFR mutation than in those without (30.3 ± 33.8 % vs. 19.0 ± 29.3 %, p = 0.005). EGFR mutation was significantly more frequent in tumours with GGO ≥ 50 % and tumours with any GGO (p = 0.026 and 0.008, respectively). Adenocarcinomas with exon 19 or 21 mutation showed significantly higher GGO proportion than that in EGFR wild-type tumours (p = 0.009 and 0.029, respectively). Absence of GGO was an independent predictor of negative EGFR mutation (odds ratio, 1.81; 95 % confidence interval, 1.16–3.04; p = 0.018).
Conclusions
GGO proportion in adenocarcinomas with EGFR mutation was significantly higher than that in EGFR wild-type tumours, and the absence of GGO on CT was an independent predictor of negative EGFR mutation.
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