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...

Descripción completa

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

Internet

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

Ejemplares similares