Using combined CT-clinical radiomics models to identify epidermal growth factor receptor mutation subtypes in lung adenocarcinoma

Using combined CT-clinical radiomics models to identify epidermal growth factor receptor mutation subtypes in lung adenocarcinoma

BackgroundTo investigate the value of computed tomography (CT)-based radiomics signatures in combination with clinical and CT morphological features to identify epidermal growth factor receptor (EGFR)-mutation subtypes in lung adenocarcinoma (LADC).MethodsFrom February 2012 to October 2019, 608 pati...

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Bibliographic Details
Main Authors: Ji-wen Huo, Tian-you Luo, Le Diao, Fa-jin Lv, Wei-dao Chen, Rui-ze Yu, Qi Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Oncology
Subjects:
lung cancer
epidermal growth factor receptor
radiomics
computed tomography
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.846589/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.846589/full

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