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

PURPOSE: To 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 (18)F-FDG PET/CT data, and further construct a prognostic model to predict their clinical outcome. M...

Descripción completa

Detalles Bibliográficos
Autores principales: Zuo, Yan, Liu, Qiufang, Li, Nan, Li, Panli, Zhang, Jianping, Song, Shaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200887/
https://www.ncbi.nlm.nih.gov/pubmed/37223682
http://dx.doi.org/10.3389/fonc.2023.1173355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200887/
https://www.ncbi.nlm.nih.gov/pubmed/37223682
http://dx.doi.org/10.3389/fonc.2023.1173355

Ejemplares similares