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

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