SynthesisBMC medical imaging2017
CT characteristics of non-small cell lung cancer with epidermal growth factor receptor mutation: a systematic review and meta-analysis.
Synthesis in BMC medical imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- CT Characteristics of Non-Small Cell Lung Cancer With Anaplastic Lymphoma Kinase Rearrangement: A Systematic Review and Meta-Analysis.AJR. American journal of roentgenology · 2019Pooled it
- CT and clinical characteristics that predict risk of EGFR mutation in non-small cell lung cancer: a systematic review and meta-analysis.International journal of clinical oncology · 2019Pooled it
- PD-L1 Expression and Histopathological Features in EGFR-Mutated Non-Small Cell Lung Cancer: Implications for Immune Checkpoint Inhibitors After EGFR-Tyrosine Kinase Inhibitors Resistance.Thoracic cancer · 2026Article
- Review
- Gene mutation, clinical characteristics and pathology in resectable lung adenocarcinoma.World journal of surgical oncology · 2025Article
- CT-based nomogram for predicting EGFR mutation status in ground-glass nodules of lung adenocarcinoma.Frontiers in immunology · 2025Article
- Prediction of EGFR mutations in non-small cell lung cancer: a nomogram based onFrontiers in oncology · 2025Article
- A nomogram for predicting lymphovascular invasion in lung adenocarcinoma: a retrospective study.BMC pulmonary medicine · 2024Article
- Unusual presentation ofRespiratory medicine case reports · 2024Article
- Detection ofTranslational cancer research · 2023Article
- CT-based decision tree model for predicting EGFR mutation status in synchronous multiple primary lung cancers.Journal of thoracic disease · 2023Article
- Multiple instance learning for lung pathophysiological findings detection using CT scans.Medical & biological engineering & computing · 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
- Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges.Journal of personalized medicine · 2022Review
- Clinical and CT patterns to predict EGFR mutation in patients with non-small cell lung cancer: A systematic literature review and meta-analysis.European journal of radiology open · 2022Article
- High-resolution computed tomography findings independently predict epidermal growth factor receptor mutation status in ground-glass nodular lung adenocarcinoma.World journal of clinical cases · 2021Article
- Biological Significance ofInternational journal of general medicine · 2021Article
- Imaging Features and Metastatic Patterns of AdvancedAJR. American journal of roentgenology · 2020Article
- Lung radiofrequency ablation: post-procedure imaging patterns and late follow-up.European journal of radiology open · 2020Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo systematically investigate the relationship between CT morphological features and the presence of epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC).
methodsAll studies about the CT morphological features of NSCLC with EGFR mutations published between January 1, 2000 and March 15, 2015 were searched in the PubMed and EMBASE databases. Qualified studies were selected according to inclusion criteria. The frequency of EGFR mutations and CT features of ground-glass opacity (GGO) content, tumor size, cavitation, air-bronchogram, lobulation, and spiculation were extracted. The relationship between EGFR mutations and each of these CT features was tested based upon the weighted mean difference or inverse variance in the form of an odds ratio at a 95% confidence interval using Forest Plots. The publication bias was examined using Egger's test.
resultsA total of 13 studies, consisting of 2146 NSCLC patients, were included, and 51.12% (1097/2146) of patients had EGFR mutations. The EGFR mutations were present in NSCLC with part-solid GGO in contrast to nonsolid GGO (OR = 0.49, 95% CI = 0.25-0.96, P = 0.04). Other CT features such as tumor size, cavitation, air-bronchogram, lobulation and spiculation did not demonstrate statistically significant correlation with EGFR mutations individually (P = 0.91; 0.67; 0.12; 0.45; and 0.36, respectively). No publication bias among the selected studies was noted in this meta-analysis (Egger's tests, P > 0.05 for all).
conclusionThis meta-analysis demonstrated that NSCLC with CT morphological features of part-solid GGO tended to be EGFR mutated, which might provide an important clue for the correct selection of patients treated with molecular targeted therapies.
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