A nomogram based on (18)F-fluorodeoxyglucose PET/CT and clinical features to predict epidermal growth factor receptor mutation status in patients with lung adenocarcinoma

BACKGROUND: Identifying epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma (LADC) is vital for treatment decision-making. This study aimed to establish a convenient and noninvasive nomogram prediction model based on (18)F-fluorodeoxyglucose positron emission tomography/computed...

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Detalles Bibliográficos
Autores principales: Guo, Yue, Zhu, Hui, Chen, Congxia, Li, Xu, Liu, Fugeng, Yao, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622444/
https://www.ncbi.nlm.nih.gov/pubmed/36330175
http://dx.doi.org/10.21037/qims-22-248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622444/
https://www.ncbi.nlm.nih.gov/pubmed/36330175
http://dx.doi.org/10.21037/qims-22-248

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