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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Enregistré dans:
Détails bibliographiques
Auteurs principaux: Wei Li, Chao Xu, Zhaoxiang Ye
Format: article
Langue:EN
Publié: Frontiers Media S.A. 2021
Sujets:
MR
Accès en ligne:https://doaj.org/article/739d9592cfaf48daa909e022f734d747
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