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Title: Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease.
Authors: 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
metadata.dc.subject.mesh: Adult
Area Under Curve
Elasticity Imaging Techniques
Fatty Liver
Liver Cirrhosis
Magnetic Resonance Imaging
Middle Aged
Non-alcoholic Fatty Liver Disease
ROC Curve
Severity of Illness Index
Issue Date: 12-Aug-2016
Abstract: 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.
metadata.dc.identifier.doi: 10.1038/srep31421
Appears in Collections:Producción 2020

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