CT-based decision tree model for predicting EGFR mutation status in synchronous multiple primary lung cancers

BACKGROUND: The current study aimed to construct a computed tomography (CT)-based decision tree algorithm (DTA) model to predict the epidermal growth factor receptor (EGFR) mutation status in synchronous multiple primary lung cancers (SMPLCs). METHODS: The demographic and CT findings of 85 patients...

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Detalles Bibliográficos
Autores principales: Luo, Yingwei, Li, Shuangjiang, Ma, Huiyun, Zhang, Wenbiao, Liu, Baocong, Xie, Chuanmiao, Li, Qiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089846/
https://www.ncbi.nlm.nih.gov/pubmed/37065592
http://dx.doi.org/10.21037/jtd-22-1312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10089846/
https://www.ncbi.nlm.nih.gov/pubmed/37065592
http://dx.doi.org/10.21037/jtd-22-1312

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