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Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease

There is a need, in NAFLD management, to develop non-invasive methods to detect steatohepatitis (NASH) and to predict advanced fibrosis stages. We evaluated a tool based on optical analysis of liver magnetic resonance images (MRI) as biomarkers for NASH and fibrosis detection by investigating patien...

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Autores principales: Gallego-Durán, Rocío, Cerro-Salido, Pablo, Gomez-Gonzalez, Emilio, Pareja, María Jesús, Ampuero, Javier, Rico, María Carmen, Aznar, Rafael, Vilar-Gomez, Eduardo, Bugianesi, Elisabetta, Crespo, Javier, González-Sánchez, Francisco José, Aparcero, Reyes, Moreno, Inmaculada, Soto, Susana, Arias-Loste, María Teresa, Abad, Javier, Ranchal, Isidora, Andrade, Raúl Jesús, Calleja, Jose Luis, Pastrana, Miguel, Iacono, Oreste Lo, Romero-Gómez, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981860/
https://www.ncbi.nlm.nih.gov/pubmed/27514671
http://dx.doi.org/10.1038/srep31421
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author Gallego-Durán, Rocío
Cerro-Salido, Pablo
Gomez-Gonzalez, Emilio
Pareja, María Jesús
Ampuero, Javier
Rico, María Carmen
Aznar, Rafael
Vilar-Gomez, Eduardo
Bugianesi, Elisabetta
Crespo, Javier
González-Sánchez, Francisco José
Aparcero, Reyes
Moreno, Inmaculada
Soto, Susana
Arias-Loste, María Teresa
Abad, Javier
Ranchal, Isidora
Andrade, Raúl Jesús
Calleja, Jose Luis
Pastrana, Miguel
Iacono, Oreste Lo
Romero-Gómez, Manuel
author_facet Gallego-Durán, Rocío
Cerro-Salido, Pablo
Gomez-Gonzalez, Emilio
Pareja, María Jesús
Ampuero, Javier
Rico, María Carmen
Aznar, Rafael
Vilar-Gomez, Eduardo
Bugianesi, Elisabetta
Crespo, Javier
González-Sánchez, Francisco José
Aparcero, Reyes
Moreno, Inmaculada
Soto, Susana
Arias-Loste, María Teresa
Abad, Javier
Ranchal, Isidora
Andrade, Raúl Jesús
Calleja, Jose Luis
Pastrana, Miguel
Iacono, Oreste Lo
Romero-Gómez, Manuel
author_sort Gallego-Durán, Rocío
collection PubMed
description There is a need, in NAFLD management, to develop non-invasive methods to detect steatohepatitis (NASH) and to predict advanced fibrosis stages. We evaluated a tool based on optical analysis of liver magnetic resonance images (MRI) as biomarkers for NASH and fibrosis detection by investigating patients with biopsy-proven NAFLD who underwent magnetic resonance (MR) protocols using 1.5T General Electric (GE) or Philips devices. Two imaging biomarkers (NASHMRI and FibroMRI) were developed, standardised and validated using area under the receiver operating characteristic curve (AUROC) analysis. The results indicated NASHMRI diagnostic accuracy for steatohepatitis detection was 0.83 (95% CI: 0.73–0.93) and FibroMRI diagnostic accuracy for significant fibrosis determination was 0.85 (95% CI: 0.77–0.94). These findings were independent of the MR system used. We conclude that optical analysis of MRI has high potential to define non-invasive imaging biomarkers for the detection of steatohepatitis (NASHMRI) and the prediction of significant fibrosis (FibroMRI) in NAFLD patients.
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spelling pubmed-49818602016-08-19 Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease Gallego-Durán, Rocío Cerro-Salido, Pablo Gomez-Gonzalez, Emilio Pareja, María Jesús Ampuero, Javier Rico, María Carmen Aznar, Rafael Vilar-Gomez, Eduardo Bugianesi, Elisabetta Crespo, Javier González-Sánchez, Francisco José Aparcero, Reyes Moreno, Inmaculada Soto, Susana Arias-Loste, María Teresa Abad, Javier Ranchal, Isidora Andrade, Raúl Jesús Calleja, Jose Luis Pastrana, Miguel Iacono, Oreste Lo Romero-Gómez, Manuel Sci Rep Article There is a need, in NAFLD management, to develop non-invasive methods to detect steatohepatitis (NASH) and to predict advanced fibrosis stages. We evaluated a tool based on optical analysis of liver magnetic resonance images (MRI) as biomarkers for NASH and fibrosis detection by investigating patients with biopsy-proven NAFLD who underwent magnetic resonance (MR) protocols using 1.5T General Electric (GE) or Philips devices. Two imaging biomarkers (NASHMRI and FibroMRI) were developed, standardised and validated using area under the receiver operating characteristic curve (AUROC) analysis. The results indicated NASHMRI diagnostic accuracy for steatohepatitis detection was 0.83 (95% CI: 0.73–0.93) and FibroMRI diagnostic accuracy for significant fibrosis determination was 0.85 (95% CI: 0.77–0.94). These findings were independent of the MR system used. We conclude that optical analysis of MRI has high potential to define non-invasive imaging biomarkers for the detection of steatohepatitis (NASHMRI) and the prediction of significant fibrosis (FibroMRI) in NAFLD patients. Nature Publishing Group 2016-08-12 /pmc/articles/PMC4981860/ /pubmed/27514671 http://dx.doi.org/10.1038/srep31421 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Gallego-Durán, Rocío
Cerro-Salido, Pablo
Gomez-Gonzalez, Emilio
Pareja, María Jesús
Ampuero, Javier
Rico, María Carmen
Aznar, Rafael
Vilar-Gomez, Eduardo
Bugianesi, Elisabetta
Crespo, Javier
González-Sánchez, Francisco José
Aparcero, Reyes
Moreno, Inmaculada
Soto, Susana
Arias-Loste, María Teresa
Abad, Javier
Ranchal, Isidora
Andrade, Raúl Jesús
Calleja, Jose Luis
Pastrana, Miguel
Iacono, Oreste Lo
Romero-Gómez, Manuel
Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease
title Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease
title_full Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease
title_fullStr Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease
title_full_unstemmed Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease
title_short Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease
title_sort imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981860/
https://www.ncbi.nlm.nih.gov/pubmed/27514671
http://dx.doi.org/10.1038/srep31421
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