Quantitative ultrasound, elastography, and machine learning for assessment of steatosis, inflammation, and fibrosis in chronic liver disease

OBJECTIVE: To develop a quantitative ultrasound (QUS)- and elastography-based model to improve classification of steatosis grade, inflammation grade, and fibrosis stage in patients with chronic liver disease in comparison with shear wave elastography alone, using histopathology as the reference stan...

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Detalles Bibliográficos
Autores principales: Destrempes, François, Gesnik, Marc, Chayer, Boris, Roy-Cardinal, Marie-Hélène, Olivié, Damien, Giard, Jeanne-Marie, Sebastiani, Giada, Nguyen, Bich N., Cloutier, Guy, Tang, An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794185/
https://www.ncbi.nlm.nih.gov/pubmed/35085294
http://dx.doi.org/10.1371/journal.pone.0262291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794185/
https://www.ncbi.nlm.nih.gov/pubmed/35085294
http://dx.doi.org/10.1371/journal.pone.0262291

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