ArticleEuropean radiology2022
Identification of predictors for brain metastasis in newly diagnosed non-small cell lung cancer: a single-center cohort study.
Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 16 citations in OpenAlex.
- FIN-EGFR: real-world treatment outcomes by EGFR mutational subtypes in NSCLC in Southern Finland.Acta oncologica (Stockholm, Sweden) · 2026Observational
- Prevalence, therapeutic approaches, and survival rates of brain metastases in non-small cell lung cancer: a multi-institutional claims-based study from 2014 to 2024.Journal of neuro-oncology · 2025Article
- Low-dose ultrahigh-resolution PCCT enhances subsolid nodule characterization.La Radiologia medica · 2025Article
- Impact of metastasectomy on survival in patients with oligometastatic stage 4a lung cancer: a retrospective analysis.Updates in surgery · 2025Article
- Risk factors for brain metastases in locally advanced non-small cell lung cancer patients treated with radical radiotherapy.Journal of thoracic disease · 2024Article
- Proteomics-based Model for Predicting the Risk of Brain Metastasis in Patients with Resected Lung Adenocarcinoma carrying the EGFR Mutation.International journal of medical sciences · 2024Article
- Comparison ofFrontiers in oncology · 2024Article
- Tumor-associated prognostic factors extractable from chest CT scans in patients with lung cancer.Translational lung cancer research · 2023Review
- Individual risk and prognostic value prediction by machine learning for distant metastasis in pulmonary sarcomatoid carcinoma: a large cohort study based on the SEER database and the Chinese population.Frontiers in oncology · 2023Article
- Machine Learning for the Prediction of Synchronous Organ-Specific Metastasis in Patients With Lung Cancer.Frontiers in oncology · 2022Article
- A novel decision tree algorithm model based on chest CT parameters to predict the risk of recurrence and metastasis in surgically resected stage I synchronous multiple primary lung cancer.Therapeutic advances in respiratory diseaseArticle
- Genomic drivers of brain metastases in lung cancer.Neuro-oncology advancesReview
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesTo identify clinical and staging chest CT characteristics predictive of brain metastasis in patients with newly diagnosed NSCLC dichotomized according to resectability.
methodsPatients newly diagnosed with NSCLC of clinical stages II-IV between November 2017 and October 2018 were enrolled and classified into resectable (stage II+IIIA) and unresectable stages (stage IIIB/C+IV) according to chest CT. Associations of clinicopathological characteristics and CT findings with brain metastasis were analyzed using logistic regression. Predictive models were evaluated using receiver operating characteristics curve analysis. A subgroup analysis for unresectable-stage patients with known epidermal growth factor receptor gene (EGFR) mutation status was performed.
resultsThis study included 911 NSCLC patients (mean age, 65 ± 11 years; 620 men), 194 of whom were diagnosed with brain metastasis. For resectable stages, independent predictors for brain metastasis were N2-stage (13 of 25 patients), absence of air-bronchogram/bubble lucency (23 of 25 patients), and presence of spiculation (15 of 25 patients), with a model combining the two imaging features showing an AUC of 0.723. In unresectable stages, independent predictors of brain metastasis were younger age, female sex, extrathoracic metastasis, and adenocarcinoma, with models combining these showing AUCs of 0.675-0.766. In the subgroup with known EGFR-mutation status, extrathoracic metastasis and positive EGFR mutation were independent predictors of brain metastasis, with the model showing AUCs of 0.641-0.732.
conclusionCT-derived imaging features, clinical stages, lung cancer subtype, and EGFR mutation were associated with brain metastasis in patients with newly diagnosed NSCLC. The predictors were completely different between resectable and unresectable stages. KEY POINTS: • In resectable stages of NSCLC, two imaging features (absence of air-bronchogram/bubble lucency and presence of spiculation) and N2 stage were independent predictors of brain metastasis. • In unresectable stages of NSCLC, younger age, female sex, extrathoracic metastasis, and adenocarcinoma were associated with brain metastasis. • In the subgroup of NSCLC with known EGFR-mutation status, extrathoracic metastasis and positive EGFR mutation were independent predictors of brain metastasis.
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