Please use this identifier to cite or link to this item:
http://hdl.handle.net/10668/10354
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 Aged Area Under Curve Biomarkers Elasticity Imaging Techniques Fatty Liver Female Humans Keratin-18 Liver Liver Cirrhosis Magnetic Resonance Imaging Male 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. |
URI: | http://hdl.handle.net/10668/10354 |
metadata.dc.identifier.doi: | 10.1038/srep31421 |
Appears in Collections: | Producción 2020 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
PMC4981860.pdf | 498,42 kB | Adobe PDF | View/Open |
This item is protected by original copyright |
This item is licensed under a Creative Commons License