Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on (18)F-FDG PET/CT radiomics

PURPOSE: To develop and validate a machine learning model based on radiomic features derived from (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computed tomography (PET/CT) images to preoperatively predict the pathological grade in patients with pancreatic ductal adenocarcinoma (...

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Detalles Bibliográficos
Autores principales: Xing, Haiqun, Hao, Zhixin, Zhu, Wenjia, Sun, Dehui, Ding, Jie, Zhang, Hui, Liu, Yu, Huo, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907291/
https://www.ncbi.nlm.nih.gov/pubmed/33630176
http://dx.doi.org/10.1186/s13550-021-00760-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907291/
https://www.ncbi.nlm.nih.gov/pubmed/33630176
http://dx.doi.org/10.1186/s13550-021-00760-3

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