ArticleThoracic cancer2017
Computed tomography and clinical features associated with epidermal growth factor receptor mutation status in stage I/II lung adenocarcinoma.
Article in Thoracic cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Correlation between carcinoembryonic antigen (CEA) expression and EGFR mutations in non-small-cell lung cancer: a meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Pooled it
- Molecular Alterations in Lung Adenocarcinoma With Ground-Glass Nodules: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2021Pooled 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
- Nomogram to predict the EGFR mutation status in stage III-IV solid lung adenocarcinoma patients.BMC medical imaging · 2025Article
- Correlation analysis between EGFR gene mutation status, ALK positivity and demographic data, tumor biomarkers, radiological and pathological features in patients with lung adenocarcinoma.Frontiers in oncology · 2025Article
- CT-based nomogram for predicting EGFR mutation status in ground-glass nodules of lung adenocarcinoma.Frontiers in immunology · 2025Article
- A predictive nomogram forJournal of thoracic disease · 2024Article
- Predicting EGFR Mutation in Lung Adenocarcinoma: Development and Validation of the EGFR Mutation Predictive Score (EMPS) in Bali, Indonesia.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- CT Image-Based Biopsy to Aid Prediction of HOPX Expression Status and Prognosis for Non-Small Cell Lung Cancer Patients.Cancers · 2023Article
- Multiple instance learning for lung pathophysiological findings detection using CT scans.Medical & biological engineering & computing · 2022Article
- Review
- [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
- Molecular typing of lung adenocarcinoma with computed tomography and CT image-based radiomics: a narrative review of research progress and prospects.Translational cancer research · 2021Review
- The Relationship between Long Noncoding RNA H19 Polymorphism and the Epidermal Growth Factor Receptor Phenotypes on the Clinicopathological Characteristics of Lung Adenocarcinoma.International journal of environmental research and public health · 2021Article
- Association of metastatic pattern and molecular status in stage IV non-small cell lung cancer adenocarcinoma.European radiology · 2020Article
- Utility of CT radiomics for prediction of PD-L1 expression in advanced lung adenocarcinomas.Thoracic cancer · 2020Article
- A leopard can't change its spots: can a T790M mutation-positive cancer change its spots after epidermal growth factor receptor-tyrosine kinase inhibitor therapy?Journal of thoracic disease · 2018Article
- Epidermal growth factor receptor mutation accelerates radiographic progression in lung adenocarcinoma presented as a solitary ground-glass opacity.Journal of thoracic disease · 2018Article
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9 authors.
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Abstract
backgroundThe relationship between epidermal growth factor receptor (EGFR) gene mutation status, preoperative computed tomography (CT), and clinical features in patients with small peripheral lung adenocarcinoma (<3 cm) was investigated.
methodsWe included 209 patients who underwent surgical resection for stage I or II lung adenocarcinoma at Nanjing General Hospital between December 2010 and May 2016. 171 cases of patients underwent a pretreatment chest CT. Eleven different CT descriptors were assessed. Multiple logistic regression analyses were performed to identify independent risk factors for the prediction of EGFR mutation. Receiver operating characteristic analysis was used to evaluate the performance of the logistic regression model.
resultsEGFR mutation was determined in 126 patients (60.3%) and appeared more frequently in women ( P = 0.025), never-smokers ( P < 0.001), and patients with a carcinoembryonic antigen level <2.6 ng/ml ( P = 0.045). Papillary predominant adenocarcinomas ( P = 0.014), intermediate/low pathologic grade tumors ( P = 0.003), tumors in the upper lobe ( P = 0.028), and showing ground-glass opacity (GGO) or mixed GGO on CT ( P = 0.039) also more frequently harbored EGFR mutations. GGO on CT, acinar or papillary predominant adenocarcinoma, and non-smoker were identified in multivariable analyses as significantly independent risk factors. The multiple logistic regression model showed high predictive power for identifying EGFR mutations. The CT features were similar between the L858R and 19 deletion mutations.
conclusionsCombined CT and clinical features may be helpful for determining the presence of EGFR mutations in patients with small peripheral lung adenocarcinoma, particularly in patients where mutational profiling is not available or possible.
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