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Development and Validation of a Novel Radiomics-Based Nomogram With Machine Learning to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors

BACKGROUD: Tumor grade is the determinant of the biological aggressiveness of pancreatic neuroendocrine tumors (PNETs) and the best current tool to help establish individualized therapeutic strategies. A noninvasive way to accurately predict the histology grade of PNETs preoperatively is urgently ne...

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Detalles Bibliográficos
Autores principales:	Wang, Xing, Qiu, Jia-Jun, Tan, Chun-Lu, Chen, Yong-Hua, Tan, Qing-Quan, Ren, Shu-Jie, Yang, Fan, Yao, Wen-Qing, Cao, Dan, Ke, Neng-Wen, Liu, Xu-Bao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008322/ https://www.ncbi.nlm.nih.gov/pubmed/35433485 http://dx.doi.org/10.3389/fonc.2022.843376

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