Assessment of LI-RADS efficacy in classification of hepatocellular carcinoma and benign liver nodules using DCE-MRI features and machine learning

PURPOSE: The current study aimed to evaluate the efficiency of dynamic contrast-enhanced (DCE) MRI visual features in classifying benign liver nodules and hepatocellular carcinoma (HCC) using a machine learning model. METHODS: 115 LI-RADS3, 137 LI-RADS4, and 140 LI-RADS5 nodules were included (392 n...

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Detalles Bibliográficos
Autores principales: Fotouhi, Maryam, Samadi Khoshe Mehr, Fardin, Delazar, Sina, Shahidi, Ramin, Setayeshpour, Babak, Toosi, Mohssen Nassiri, Arian, Arvin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641154/
https://www.ncbi.nlm.nih.gov/pubmed/37964787
http://dx.doi.org/10.1016/j.ejro.2023.100535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641154/
https://www.ncbi.nlm.nih.gov/pubmed/37964787
http://dx.doi.org/10.1016/j.ejro.2023.100535

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