A nomogram model integrating LI-RADS features and radiomics based on contrast-enhanced magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma falling the Milan criteria

A nomogram model integrating LI-RADS features and radiomics based on contrast-enhanced magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma falling the Milan criteria

Purpose: To establish and validate a nomogram model incorporating both liver imaging reporting and data system (LI-RADS) features and contrast enhanced magnetic resonance imaging (CEMRI)-based radiomics for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC) falling the Milan c...

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Bibliographic Details
Main Authors: Hai-Feng Liu, Yan-Zhen-Zi Zhang, Qing Wang, Zu-Hui Zhu, Wei Xing
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Translational Oncology
Subjects:
Nomogram
Radiomics
Microvascular invasion (MVI)
Hepatocellular carcinoma (HCC)
Milan criteria
Online Access:http://www.sciencedirect.com/science/article/pii/S193652332200256X

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http://www.sciencedirect.com/science/article/pii/S193652332200256X

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