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Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma

BACKGROUND: To analyse the differences in computed tomography (CT) features between patients with lung adenocarcinoma who have epidermal growth factor receptor (EGFR) mutations and those who have wild-type EGFR. METHODS: Patients with lung adenocarcinoma (n = 156) were enrolled from October 2013 to...

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Autores principales: Cao, Yiyuan, Xu, Haibo, Liao, Meiyan, Qu, Yanjuan, Xu, Liying, Zhu, Dongyong, Wang, Bicheng, Tian, Sufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882627/
https://www.ncbi.nlm.nih.gov/pubmed/28988295
http://dx.doi.org/10.1007/s10147-017-1197-8
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author Cao, Yiyuan
Xu, Haibo
Liao, Meiyan
Qu, Yanjuan
Xu, Liying
Zhu, Dongyong
Wang, Bicheng
Tian, Sufang
author_facet Cao, Yiyuan
Xu, Haibo
Liao, Meiyan
Qu, Yanjuan
Xu, Liying
Zhu, Dongyong
Wang, Bicheng
Tian, Sufang
author_sort Cao, Yiyuan
collection PubMed
description BACKGROUND: To analyse the differences in computed tomography (CT) features between patients with lung adenocarcinoma who have epidermal growth factor receptor (EGFR) mutations and those who have wild-type EGFR. METHODS: Patients with lung adenocarcinoma (n = 156) were enrolled from October 2013 to March 2016, including 56 patients with wild-type EGFR and 100 patients with EGFR mutations. Two independent radiologists evaluated patient characteristics and imaging features. Chi-squared test, Fisher’s exact test or ANOVA was applied to discriminate clinical and CT characteristics between the genotypes. A prediction tool for EGFR mutation was devised from principal component analysis. RESULTS: The proportion of females and non-smokers in the exon 19 deletion and exon 21 missense groups was higher than in the wild-type group (P < 0.01). Severe emphysema was higher in the wild-type group than in the exon 19 deletion group (P < 0.01). The maximum diameter in the mediastinal window (MaxD(mediastinal)) in the wild-type group was longer than in the exon 19 deletion and exon 21 missense groups. The minimum diameter in the mediastinal window (MinD(mediastinal)) in the wild-type group was also longer than in the exon 21 missense group, with a significant difference (P < 0.05). The tumor shadow disappearance rate (TDR) in the exon 19 deletion group was higher than in the wild-type group. Ground glass opacity (GGO) appeared to be more common in the exon 19 deletion group (P = 0.010). The prediction score for exon 19 deletion mutation was: 0.305 × gender + 0.254 × smoking history + 0.198 × MaxD(mediastinal) + TDR × 0.254 + 0.280 × GGO + 0.095 × emphysema. The sensitivity and specificity for predicting exon 19 deletion were 59.09 and 76.79%, respectively. The prediction score for the exon 21 missense mutation was: 0.354 × gender + 0.291 × smoking history + 0.410 × MaxD(mediastinal) + 0.408 × MinD(mediastinal). The sensitivity and specificity for predicting exon 21 missense mutation were 72.34 and 78.57%, respectively. CONCLUSION: As well as gender, smoking history and GGO, adenocarcinomas with EGFR mutation were significantly associated with emphysema, TDR, and the diameter in the mediastinal window. As exon 19 deletion and 21 missense mutations might be predicted by those features, the scoring system might be valuable for clinical diagnosis.
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spelling pubmed-58826272018-04-05 Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma Cao, Yiyuan Xu, Haibo Liao, Meiyan Qu, Yanjuan Xu, Liying Zhu, Dongyong Wang, Bicheng Tian, Sufang Int J Clin Oncol Original Article BACKGROUND: To analyse the differences in computed tomography (CT) features between patients with lung adenocarcinoma who have epidermal growth factor receptor (EGFR) mutations and those who have wild-type EGFR. METHODS: Patients with lung adenocarcinoma (n = 156) were enrolled from October 2013 to March 2016, including 56 patients with wild-type EGFR and 100 patients with EGFR mutations. Two independent radiologists evaluated patient characteristics and imaging features. Chi-squared test, Fisher’s exact test or ANOVA was applied to discriminate clinical and CT characteristics between the genotypes. A prediction tool for EGFR mutation was devised from principal component analysis. RESULTS: The proportion of females and non-smokers in the exon 19 deletion and exon 21 missense groups was higher than in the wild-type group (P < 0.01). Severe emphysema was higher in the wild-type group than in the exon 19 deletion group (P < 0.01). The maximum diameter in the mediastinal window (MaxD(mediastinal)) in the wild-type group was longer than in the exon 19 deletion and exon 21 missense groups. The minimum diameter in the mediastinal window (MinD(mediastinal)) in the wild-type group was also longer than in the exon 21 missense group, with a significant difference (P < 0.05). The tumor shadow disappearance rate (TDR) in the exon 19 deletion group was higher than in the wild-type group. Ground glass opacity (GGO) appeared to be more common in the exon 19 deletion group (P = 0.010). The prediction score for exon 19 deletion mutation was: 0.305 × gender + 0.254 × smoking history + 0.198 × MaxD(mediastinal) + TDR × 0.254 + 0.280 × GGO + 0.095 × emphysema. The sensitivity and specificity for predicting exon 19 deletion were 59.09 and 76.79%, respectively. The prediction score for the exon 21 missense mutation was: 0.354 × gender + 0.291 × smoking history + 0.410 × MaxD(mediastinal) + 0.408 × MinD(mediastinal). The sensitivity and specificity for predicting exon 21 missense mutation were 72.34 and 78.57%, respectively. CONCLUSION: As well as gender, smoking history and GGO, adenocarcinomas with EGFR mutation were significantly associated with emphysema, TDR, and the diameter in the mediastinal window. As exon 19 deletion and 21 missense mutations might be predicted by those features, the scoring system might be valuable for clinical diagnosis. Springer Japan 2017-10-07 2018 /pmc/articles/PMC5882627/ /pubmed/28988295 http://dx.doi.org/10.1007/s10147-017-1197-8 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Cao, Yiyuan
Xu, Haibo
Liao, Meiyan
Qu, Yanjuan
Xu, Liying
Zhu, Dongyong
Wang, Bicheng
Tian, Sufang
Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma
title Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma
title_full Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma
title_fullStr Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma
title_full_unstemmed Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma
title_short Associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma
title_sort associations between clinical data and computed tomography features in patients with epidermal growth factor receptor mutations in lung adenocarcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882627/
https://www.ncbi.nlm.nih.gov/pubmed/28988295
http://dx.doi.org/10.1007/s10147-017-1197-8
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