Ultrasonographic elastography improves early detection of hepatocellular carcinoma in an experimental model of non-alcoholic steatohepatitis (2012)
- Authors:
- USP affiliated authors: COGLIATI, BRUNO - FMVZ ; OLIVEIRA, CLAUDIA PINTO MARQUES SOUZA DE - FM
- Unidades: FMVZ; FM
- Subjects: CARCINOMA HEPATOCELULAR; DIAGNÓSTICO POR IMAGEM; MODELOS ANIMAIS DE DOENÇAS
- Language: Inglês
- Imprenta:
- Publisher place: Ebnat-Kappel
- Date published: 2012
- Source:
- Título: Abstracts
- Conference titles: IVRA Meeting
-
ABNT
CARVALHO, Cibele Figueira et al. Ultrasonographic elastography improves early detection of hepatocellular carcinoma in an experimental model of non-alcoholic steatohepatitis. 2012, Anais.. Ebnat-Kappel: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, 2012. Disponível em: http://evdi.org/images/Events/Conference/2012_irva_evdi_turkey/IVRA2012.pdf. Acesso em: 14 nov. 2024. -
APA
Carvalho, C. F., Chammas, M. C., Cogliati, B., & Oliveira, C. P. M. de S. (2012). Ultrasonographic elastography improves early detection of hepatocellular carcinoma in an experimental model of non-alcoholic steatohepatitis. In Abstracts. Ebnat-Kappel: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo. Recuperado de http://evdi.org/images/Events/Conference/2012_irva_evdi_turkey/IVRA2012.pdf -
NLM
Carvalho CF, Chammas MC, Cogliati B, Oliveira CPM de S. Ultrasonographic elastography improves early detection of hepatocellular carcinoma in an experimental model of non-alcoholic steatohepatitis [Internet]. Abstracts. 2012 ;[citado 2024 nov. 14 ] Available from: http://evdi.org/images/Events/Conference/2012_irva_evdi_turkey/IVRA2012.pdf -
Vancouver
Carvalho CF, Chammas MC, Cogliati B, Oliveira CPM de S. Ultrasonographic elastography improves early detection of hepatocellular carcinoma in an experimental model of non-alcoholic steatohepatitis [Internet]. Abstracts. 2012 ;[citado 2024 nov. 14 ] Available from: http://evdi.org/images/Events/Conference/2012_irva_evdi_turkey/IVRA2012.pdf - Quantification of experimental liver fibrosis with a novel algorithm method based on statistical analysis of signals
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