Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images

Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images

Objectives: To establish a radiomic algorithm based on grayscale ultrasound images and to make preoperative predictions of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients.Methods: In this retrospective study, 322 cases of histopathologically confirmed HCC lesions were include...

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Bibliographic Details
Main Authors: Yi Dong, Liu Zhou, Wei Xia, Xing-Yu Zhao, Qi Zhang, Jun-Ming Jian, Xin Gao, Wen-Ping Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma (HCC)
ultrasound
machine learning
algorithm
microvascular invasion (MVI)
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00353/full

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https://www.frontiersin.org/article/10.3389/fonc.2020.00353/full

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