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Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI

OBJECTIVE: This study aimed to evaluate the usefulness of quantitative indices obtained from deep learning analysis of gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and their longitudinal changes in predicting decompensation and death in patients with advanced chronic liver disease (ACLD). M...

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Detalles Bibliográficos
Autores principales:	Heo, Subin, Lee, Seung Soo, Kim, So Yeon, Lim, Young-Suk, Park, Hyo Jung, Yoon, Jee Seok, Suk, Heung-Il, Sung, Yu Sub, Park, Bumwoo, Lee, Ji Sung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2022
Materias:	Gastrointestinal Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747270/ https://www.ncbi.nlm.nih.gov/pubmed/36447415 http://dx.doi.org/10.3348/kjr.2022.0494

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