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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Detalles Bibliográficos
Autores principales: Liu, Hai-Feng, Zhang, Yan-Zhen-Zi, Wang, Qing, Zhu, Zu-Hui, Xing, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758568/
https://www.ncbi.nlm.nih.gov/pubmed/36502701
http://dx.doi.org/10.1016/j.tranon.2022.101597

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758568/
https://www.ncbi.nlm.nih.gov/pubmed/36502701
http://dx.doi.org/10.1016/j.tranon.2022.101597

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