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

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

BackgroundPancreatic 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 MethodsTotally 48 patients but 51 lesions with a pathological tumor...

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Bibliographic Details
Main Authors: Wei Li, Chao Xu, Zhaoxiang Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Oncology
Subjects:
grade risk
radiomic features
MR
prediction
PNETs
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.758062/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.758062/full

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