Classification tree analysis to evaluate the most useful magnetic resonance image type in the differentiation between early and progressed hepatocellular carcinoma

AIM: Using classification tree analysis, we evaluated the most useful magnetic resonance (MR) image type in the differentiation between early and progressed hepatocellular carcinoma (eHCC and pHCC). METHODS: We included pathologically proven 214 HCCs (28 eHCCs and 186 pHCCs) in 144 patients. The sig...

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Detalles Bibliográficos
Autores principales: Ichinohe, Fumihito, Komatsu, Daisuke, Yamada, Akira, Aonuma, Takanori, Sakai, Ayumi, Shimizu, Marika, Kurozumi, Masahiro, Shimizu, Akira, Soejima, Yuji, Uehara, Takeshi, Fujinaga, Yasunari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134385/
https://www.ncbi.nlm.nih.gov/pubmed/36683176
http://dx.doi.org/10.1002/cam4.5589

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134385/
https://www.ncbi.nlm.nih.gov/pubmed/36683176
http://dx.doi.org/10.1002/cam4.5589

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