Prediction of Pathological Grades of Pancreatic Neuroendocrine Tumors Based on Dynamic Contrast-Enhanced Ultrasound Quantitative Analysis

Prediction of Pathological Grades of Pancreatic Neuroendocrine Tumors Based on Dynamic Contrast-Enhanced Ultrasound Quantitative Analysis

Objective: To investigate whether the dynamic contrast-enhanced ultrasound (DCE-US) analysis and quantitative parameters could be helpful for predicting histopathologic grades of pancreatic neuroendocrine tumors (pNETs). Methods: This retrospective study conducted a comprehensive review of the CEUS...

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Bibliographic Details
Main Authors: Dao-Hui Yang, Juan Cheng, Xiao-Fan Tian, Qi Zhang, Ling-Yun Yu, Yi-Jie Qiu, Xiu-Yun Lu, Wen-Hui Lou, Yi Dong, Wen-Ping Wang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Diagnostics
Subjects:
dynamic contrast-enhanced ultrasound (DCE-US)
quantitative parameters
pancreatic neuroendocrine tumors (pNETs)
tumor histopathological grades
prediction
Online Access:https://www.mdpi.com/2075-4418/13/2/238

Internet

https://www.mdpi.com/2075-4418/13/2/238

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