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Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma

BACKGROUND: The aim of this study was to investigate the relationship between EGFR mutation and computed tomography (CT) features in patients with adenocarcinoma of the lung. METHODS: One hundred and ninety two lung adenocarcinoma patients who underwent surgery were retrospectively included in this...

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Autores principales: Qiu, Xiaowei, Yuan, Hang, Sima, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360198/
https://www.ncbi.nlm.nih.gov/pubmed/30516345
http://dx.doi.org/10.1111/1759-7714.12928
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author Qiu, Xiaowei
Yuan, Hang
Sima, Bin
author_facet Qiu, Xiaowei
Yuan, Hang
Sima, Bin
author_sort Qiu, Xiaowei
collection PubMed
description BACKGROUND: The aim of this study was to investigate the relationship between EGFR mutation and computed tomography (CT) features in patients with adenocarcinoma of the lung. METHODS: One hundred and ninety two lung adenocarcinoma patients who underwent surgery were retrospectively included in this study. Examination of EGFR gene mutation was performed on all resected tumor samples. The 192 recruited lung adenocarcinoma patients were divided into groups according to EGFR mutation status: patients with mutations in exons 18–21 (effective mutated, n = 61) and non‐mutated (n = 131). The clinical characteristics and lung CT imaging features of the two groups were recorded and compared. Univariate and logistic regression analysis were performed to identify the independent risk factors relevant to effective EGFR gene mutation. RESULTS: The independent risk factors relevant to effective EGFR mutation were evaluated by logistic regression test. The results indicated that female gender (odds ratio [OR] 3.23), lung CT features of lymphangitis carcinomatosa (OR 2.66), semi‐solid lesion density (OR 3.56), and spicule sign (OR 1.61) were independent risk factors relevant to EGFR mutation. CONCLUSION: Female patients with lung CT features of lymphangitis carcinomatosa, semi‐solid lesion density, and spicule sign are more prone to harbor EGFR gene mutations and are more likely to benefit from targeted therapy.
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spelling pubmed-63601982019-02-14 Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma Qiu, Xiaowei Yuan, Hang Sima, Bin Thorac Cancer Original Articles BACKGROUND: The aim of this study was to investigate the relationship between EGFR mutation and computed tomography (CT) features in patients with adenocarcinoma of the lung. METHODS: One hundred and ninety two lung adenocarcinoma patients who underwent surgery were retrospectively included in this study. Examination of EGFR gene mutation was performed on all resected tumor samples. The 192 recruited lung adenocarcinoma patients were divided into groups according to EGFR mutation status: patients with mutations in exons 18–21 (effective mutated, n = 61) and non‐mutated (n = 131). The clinical characteristics and lung CT imaging features of the two groups were recorded and compared. Univariate and logistic regression analysis were performed to identify the independent risk factors relevant to effective EGFR gene mutation. RESULTS: The independent risk factors relevant to effective EGFR mutation were evaluated by logistic regression test. The results indicated that female gender (odds ratio [OR] 3.23), lung CT features of lymphangitis carcinomatosa (OR 2.66), semi‐solid lesion density (OR 3.56), and spicule sign (OR 1.61) were independent risk factors relevant to EGFR mutation. CONCLUSION: Female patients with lung CT features of lymphangitis carcinomatosa, semi‐solid lesion density, and spicule sign are more prone to harbor EGFR gene mutations and are more likely to benefit from targeted therapy. John Wiley & Sons Australia, Ltd 2018-12-05 2019-02 /pmc/articles/PMC6360198/ /pubmed/30516345 http://dx.doi.org/10.1111/1759-7714.12928 Text en © 2018 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Qiu, Xiaowei
Yuan, Hang
Sima, Bin
Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma
title Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma
title_full Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma
title_fullStr Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma
title_full_unstemmed Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma
title_short Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma
title_sort relationship between egfr mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360198/
https://www.ncbi.nlm.nih.gov/pubmed/30516345
http://dx.doi.org/10.1111/1759-7714.12928
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