ArticleThoracic cancer2019
Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma.
Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Prediction of EGFR mutations in non-small cell lung cancer: a nomogram based onFrontiers in oncology · 2025Article
- A nomogram based onQuantitative imaging in medicine and surgery · 2022Article
- [Relationship between EGFR, ALK Gene Mutation and Imaging and Pathological Features in Invasive Lung Adenocarcinoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2022Article
- EGFR Gene Mutation and Methodological Evaluation in 399 Patients with Non-small Cell Lung Cancer.Current medical science · 2020Article
- The natural course of incidentally detected, small, subsolid lung nodules-is follow-up needed beyond current guideline recommendations?Translational lung cancer research · 2019Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study was to investigate the relationship between EGFR mutation and computed tomography (CT) features in patients with adenocarcinoma of the lung.
methodsOne 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.
resultsThe 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.
conclusionFemale 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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