CT-based radiomics and deep learning to predict EGFR mutation status in lung adenocarcinoma

ObjectivesEpidermal growth factor receptor (EGFR) mutation status is an essential biomarker guiding targeted therapy selection in lung adenocarcinoma. This study aimed to develop and validate a non-invasive predictive model that integrates radiomics and deep learning using CT images for accurate ass...

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Bibliographic Details

Published in:	Frontiers in Oncology
Main Authors:	Xingzhi Jiang, Qian Sun, Can Wang, Wei Li, Wang Chen, Juan Xu, Lei Yu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-10-01
Subjects:	EGFR CT deep learning radiomics fusion model lung adenocarcinoma
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1597548/full