A model incorporating clinicopathologic and liver imaging reporting and data system-based magnetic resonance imaging features to identify hepatocellular carcinoma in LR-M observations

PURPOSE: To evaluate the predictive value of a combination model of Liver Imaging Reporting and Data System (LI-RADS)-based magnetic resonance imaging (MRI) and clinicopathologic features to identify atypical hepatocellular carcinoma (HCC) in LI-RADS category M (LR-M) observations. METHODS: A total...

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Detalles Bibliográficos
Autores principales: Hu, Xin-Xing, Bai, Dong, Wang, Zhen-Lei, Zhang, Yi, Zhao, Jue, Li, Mei-Ling, Yang, Jia, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2023
Materias:
Abdominal Imaging - Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679560/
https://www.ncbi.nlm.nih.gov/pubmed/37665140
http://dx.doi.org/10.4274/dir.2023.232215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679560/
https://www.ncbi.nlm.nih.gov/pubmed/37665140
http://dx.doi.org/10.4274/dir.2023.232215

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