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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Detalhes bibliográficos

Principais autores:	Yan Zuo, Qiufang Liu, Nan Li, Panli Li, Jianping Zhang, Shaoli Song
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-05-01
coleção:	Frontiers in Oncology
Assuntos:	lung adenocarcinoma PET/CT epidermal growth factor receptor radiomics machine learning
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fonc.2023.1173355/full
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