Optimal 18F-FDG PET/CT radiomics model development for predicting EGFR mutation status and prognosis in lung adenocarcinoma: a multicentric study

PurposeTo develop and interpret optimal predictive models to identify epidermal growth factor receptor (EGFR) mutation status and subtypes in patients with lung adenocarcinoma based on multicentric 18F-FDG PET/CT data, and further construct a prognostic model to predict their clinical outcome.Method...

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Bibliographic Details

Published in:	Frontiers in Oncology
Main Authors:	Yan Zuo, Qiufang Liu, Nan Li, Panli Li, Jianping Zhang, Shaoli Song
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-05-01
Subjects:	lung adenocarcinoma PET/CT epidermal growth factor receptor radiomics machine learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2023.1173355/full