EGFR Mutation Status and Subtypes Predicted by CT-Based 3D Radiomic Features in Lung Adenocarcinoma

OBJECTIVE: In this study, we aim to establish a non-invasive tool to predict epidermal growth factor receptor (EGFR) mutation status and subtypes based on radiomic features of computed tomography (CT). METHODS: A total of 233 lung adenocarcinoma patients were investigated and randomly divided into t...

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Detalles Bibliográficos
Autores principales: Chen, Quan, Li, Yan, Cheng, Qiguang, Van Valkenburgh, Juno, Sun, Xiaotian, Zheng, Chuansheng, Zhang, Ruiguang, Yuan, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165655/
https://www.ncbi.nlm.nih.gov/pubmed/35669165
http://dx.doi.org/10.2147/OTT.S352619

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165655/
https://www.ncbi.nlm.nih.gov/pubmed/35669165
http://dx.doi.org/10.2147/OTT.S352619

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