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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...
Autores principales: | Zuo, Yan, Liu, Qiufang, Li, Nan, Li, Panli, Zhang, Jianping, Song, Shaoli |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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