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Título: | Imaging biomarkers for steatohepatitis and fibrosis detection in non-alcoholic fatty liver disease |
Autor: | Gallego-Durán, Rocío CSIC ORCID; Cerro-Salido, Pablo; Gómez-González, Emilio CSIC ORCID; Pareja, María Jesús; Ampuero, Javier CSIC ORCID; Rico, María Carmen CSIC; Aznar, Rafael; Vilar-Gómez, Eduardo; Bugianesi, Elisabetta; Crespo García, Javier; González-Sánchez, Francisco José; Aparcero, Reyes; Moreno-Santos, Inmaculada; Soto, Susana; Arias-Loste, María Teresa; Abad, Javier; Ranchal, Isidora; Andrade, Raúl J.; Calleja, José Luis; Pastrana, Miguel; Lo lacono, Oreste; Romero-Gómez, Manuel CSIC ORCID CVN | Fecha de publicación: | 12-ago-2016 | Editor: | Springer Nature | Citación: | Scientific Reports 6: 31421 (2016) | Resumen: | 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. | Versión del editor: | https://doi.org/10.1038/srep31421 | URI: | http://hdl.handle.net/10261/181391 | DOI: | 10.1038/srep31421 | E-ISSN: | 2045-2322 |
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