Distinguishing EGFR mutation molecular subtypes based on MRI radiomics features of lung adenocarcinoma brain metastases

To explore the feasibility of identifying epidermal growth factor receptor (EGFR) mutation molecular subtypes in primary lesions based on the radiomics features of lung adenocarcinoma brain metastases using magnetic resonance imaging (MRI). We retrospectively analyzed clinical, imaging, and genetic...

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Veröffentlicht in:	Clinical neurology and neurosurgery 2024-05, Vol.240, p.108258, Article 108258
Hauptverfasser:	Xu, Jiali, Yang, Yuqiong, Gao, Zhizhen, Song, Tao, Ma, Yichuan, Yu, Xiaojun, Shi, Changzheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adenocarcinoma Adenocarcinoma of Lung - diagnostic imaging Adenocarcinoma of Lung - genetics Adenocarcinoma of Lung - pathology Adult Aged Biopsy Brain cancer Brain metastases Brain Neoplasms - diagnostic imaging Brain Neoplasms - genetics Brain Neoplasms - secondary EGFR Epidermal growth factor receptors ErbB Receptors - genetics Female Gene deletion Genetic screening Hospitals Humans Kinases Lung adenocarcinoma Lung cancer Lung Neoplasms - diagnostic imaging Lung Neoplasms - genetics Lung Neoplasms - pathology Lungs Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical prognosis Metastases Metastasis Middle Aged MRI Mutation Neuroimaging Patients Point mutation Prediction models Principal components analysis Radiomics Regression analysis Retrospective Studies Tumors
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