Machine Learning-Based Ultrasomics Improves the Diagnostic Performance in Differentiating Focal Nodular Hyperplasia and Atypical Hepatocellular Carcinoma

Machine Learning-Based Ultrasomics Improves the Diagnostic Performance in Differentiating Focal Nodular Hyperplasia and Atypical Hepatocellular Carcinoma

BackgroundThe typical enhancement patterns of hepatocellular carcinoma (HCC) on contrast-enhanced ultrasound (CEUS) are hyper-enhanced in the arterial phase and washed out during the portal venous and late phases. However, atypical variations make a differential diagnosis both challenging and crucia...

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Bibliographic Details
Main Authors: Wei Li, Xiao-Zhou Lv, Xin Zheng, Si-Min Ruan, Hang-Tong Hu, Li-Da Chen, Yang Huang, Xin Li, Chu-Qing Zhang, Xiao-Yan Xie, Ming Kuang, Ming-De Lu, Bo-Wen Zhuang, Wei Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
ultrasonography
machine learning
focal nodular hyperplasia
hepatocellular carcinoma
ultrasomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.544979/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.544979/full

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