Preoperative (18)F-FDG PET/CT radiomics analysis for predicting HER2 expression and prognosis in gastric cancer

BACKGROUND: We aimed to establish and validate 2 machine learning models using (18)F-flurodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) radiomic features to predict human epidermal growth factor receptor 2 (HER2) expression and prognosis in gastric cancer (GC) pati...

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Detalles Bibliográficos
Autores principales: Liu, Qiufang, Li, Jiaru, Xin, Bowen, Sun, Yuyun, Wang, Xiuying, Song, Shaoli
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/PMC10006101/
https://www.ncbi.nlm.nih.gov/pubmed/36915308
http://dx.doi.org/10.21037/qims-22-148

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006101/
https://www.ncbi.nlm.nih.gov/pubmed/36915308
http://dx.doi.org/10.21037/qims-22-148

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