Prediction of Pancreatic Neuroendocrine Tumor Grading Risk Based on Quantitative Radiomic Analysis of MR

BACKGROUND: Pancreatic neuroendocrine tumors (PNETs) grade is very important for treatment strategy of PNETs. The present study aimed to find the quantitative radiomic features for predicting grades of PNETs in MR images. MATERIALS AND METHODS: Totally 48 patients but 51 lesions with a pathological...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Wei, Xu, Chao, Ye, Zhaoxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637752/
https://www.ncbi.nlm.nih.gov/pubmed/34868970
http://dx.doi.org/10.3389/fonc.2021.758062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637752/
https://www.ncbi.nlm.nih.gov/pubmed/34868970
http://dx.doi.org/10.3389/fonc.2021.758062

Ejemplares similares