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Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients

12 Mar 2025

Abstract excerpt

BACKGROUND: Early and accurate identification of epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients with brain metastases is critical for guiding targeted therapy. This study aimed to develop a deep learning radiomics model utilizing multi-sequence magnetic resonance imaging (MRI) to differentiate between EGFR mutant type (MT) and wild type (WT). METHODS: In...

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Share to Brain Metastases and Treatment
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 40075375
DOI: 10.1186/s12885-025-13823-8

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