Literature DB >> 27393502

Air bronchogram: A potential indicator of epidermal growth factor receptor mutation in pulmonary subsolid nodules.

Jie Dai1, Jingyun Shi2, Adiilah K Soodeen-Lalloo2, Peng Zhang1, Yang Yang1, Chunyan Wu3, Sen Jiang2, Xiaoli Jia3, Ke Fei4, Gening Jiang5.   

Abstract

OBJECTIVES: Evaluation of pulmonary subsolid nodule is a longstanding clinical problem. We aimed to validate the computed tomography (CT) features correlating with pathological invasiveness and to explore any imaging findings associated with epidermal growth factor receptor (EGFR) mutation in lung adenocarcinoma.
METHODS: A total of 204 patients with pathologically proven stage IA adenocarcinoma who had preoperative CT and data on EGFR status were enrolled in this retrospective study. Quantitative CT features including tumor size and solid volume proportion (SVP) were measured on multiplanar reconstructed images. Pathological analysis was stratified into adenocarcinoma in situ and minimally invasive adenocarcinoma (AIS/MIA), and invasive adenocarcinomas (IAs).
RESULTS: There were 93 AIS/MIA and 111 IAs. EGFR mutation was detected in 109 (53.4%) cases. In radiopathological analysis, IAs were significantly in larger tumor size (15.8mm vs. 10.9mm), higher SVP (18.3% vs. 1.1%) and more likely to present air bronchogram, vascular invasion, lobulated/irregular shape, non-smooth margin and pleural tag than AIS/MIA. The multivariate logistic regression indicated that tumor size (OR=1.337) and SVP (OR=1.198) were significant differentiating factors of IAs from AIS/MIA. In radiogenomic analysis, EGFR status differed in tumor size, air bronchogram and margin. The multivariate logistic regression disclosed that the presence of an air bronchogram (OR=3.451) was significantly associated with EGFR mutation after adjustment for age, gender and smoking status.
CONCLUSIONS: In subsolid nodules, tumor size and SVP were significant predictors of pathological invasiveness. In addition, the presence of air bronchogram was suggestive of activated EGFR mutation.
Copyright © 2016. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Epidermal growth factor receptor; Imaging; Invasiveness; Lung adenocarcinoma; Subsolid nodule

Mesh:

Substances:

Year:  2016        PMID: 27393502     DOI: 10.1016/j.lungcan.2016.05.009

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  16 in total

1.  Computed Tomography-Based Radiomics Signature: A Potential Indicator of Epidermal Growth Factor Receptor Mutation in Pulmonary Adenocarcinoma Appearing as a Subsolid Nodule.

Authors:  Xinguan Yang; Xiao Dong; Jiao Wang; Weiwei Li; Zhuoran Gu; Dashan Gao; Nanshan Zhong; Yubao Guan
Journal:  Oncologist       Date:  2019-04-01

2.  Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma.

Authors:  Yingying Miao; Jianya Zhang; Jiawei Zou; Qingqing Zhu; Tangfeng Lv; Yong Song
Journal:  Transl Lung Cancer Res       Date:  2017-02

3.  CT Characteristics of Non-Small Cell Lung Cancer With Anaplastic Lymphoma Kinase Rearrangement: A Systematic Review and Meta-Analysis.

Authors:  Tae-Hyung Kim; Sungmin Woo; Soon Ho Yoon; Darragh F Halpenny; Sangwon Han; Chong Hyun Suh
Journal:  AJR Am J Roentgenol       Date:  2019-08-15       Impact factor: 3.959

Review 4.  Clinical and Radiological Characteristics to Differentiate Between EGFR Exon 21 and Exon 19 Mutations in Patients With Lung Adenocarcinoma: A Systematic Literature Review and Meta-Analysis.

Authors:  Andrés Felipe Herrera Ortiz; Mateo E Garland; Bassel Almarie
Journal:  Cureus       Date:  2022-05-29

5.  Predicting EGFR mutation subtypes in lung adenocarcinoma using 18F-FDG PET/CT radiomic features.

Authors:  Qiufang Liu; Dazhen Sun; Nan Li; Jinman Kim; Dagan Feng; Gang Huang; Lisheng Wang; Shaoli Song
Journal:  Transl Lung Cancer Res       Date:  2020-06

6.  Are there imaging characteristics that can distinguish separate primary lung carcinomas from intrapulmonary metastases using next-generation sequencing as a gold standard?

Authors:  Jose Arimateia Batista Araujo-Filho; Jason Chang; Maria Mayoral; Andrew J Plodkowski; Rocio Perez-Johnston; Stephanie Lobaugh; Junting Zheng; Valerie W Rusch; Natasha Rekhtman; Michelle S Ginsberg
Journal:  Lung Cancer       Date:  2021-01-25       Impact factor: 5.705

7.  Predictive radiogenomics modeling of EGFR mutation status in lung cancer.

Authors:  Olivier Gevaert; Sebastian Echegaray; Amanda Khuong; Chuong D Hoang; Joseph B Shrager; Kirstin C Jensen; Gerald J Berry; H Henry Guo; Charles Lau; Sylvia K Plevritis; Daniel L Rubin; Sandy Napel; Ann N Leung
Journal:  Sci Rep       Date:  2017-01-31       Impact factor: 4.379

8.  Computed tomography and clinical features associated with epidermal growth factor receptor mutation status in stage I/II lung adenocarcinoma.

Authors:  Jiawei Zou; Tangfeng Lv; Suhua Zhu; Zhenfeng Lu; Qin Shen; Leilei Xia; Jie Wu; Yong Song; Hongbing Liu
Journal:  Thorac Cancer       Date:  2017-04-06       Impact factor: 3.500

Review 9.  Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology.

Authors:  Annemie Snoeckx; Pieter Reyntiens; Damien Desbuquoit; Maarten J Spinhoven; Paul E Van Schil; Jan P van Meerbeeck; Paul M Parizel
Journal:  Insights Imaging       Date:  2017-11-15

Review 10.  Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.

Authors:  Robin W Jansen; Paul van Amstel; Roland M Martens; Irsan E Kooi; Pieter Wesseling; Adrianus J de Langen; Catharina W Menke-Van der Houven van Oordt; Bernard H E Jansen; Annette C Moll; Josephine C Dorsman; Jonas A Castelijns; Pim de Graaf; Marcus C de Jong
Journal:  Oncotarget       Date:  2018-04-13
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