Development and validation of an image biomarker to identify metabolic dysfunction associated steatohepatitis: MR–MASH score

Author:

Marti‐Aguado David12ORCID,Arnouk Joud3,Liang Jia‐Xu45,Lara‐Romero Carmen45,Behari Jaideep3,Furlan Alessandro6,Jimenez‐Pastor Ana27,Ten‐Esteve Amadeo2,Alfaro‐Cervello Clara89,Bauza Mónica10,Gallen‐Peris Ana11,Gimeno‐Torres Marta12,Merino‐Murgui Víctor1,Perez‐Girbes Alexandre213ORCID,Benlloch Salvador1114ORCID,Pérez‐Rojas Judith10,Puglia Víctor15,Ferrández‐Izquierdo Antonio89,Aguilera Victoria1416,Giesteira Bruno17,França Manuela17,Monton Cristina1,Escudero‐García Desamparados19,Alberich‐Bayarri Ángel27,Serra Miguel A.19,Bataller Ramon3,Romero‐Gomez Manuel4518ORCID,Marti‐Bonmati Luis213

Affiliation:

1. Digestive Disease Department Clinic University Hospital, INCLIVA Health Research Institute Valencia Spain

2. Biomedical Imaging Research Group (GIBI230) La Fe Health Research Institute, and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB) Unique Scientific and Technical Infrastructures (ICTS) Valencia Spain

3. Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases Pittsburgh Liver Research Center, University of Pittsburgh Medical Center Pittsburgh Pennsylvania USA

4. Digestive Diseases Department CIBERehd, Virgen del Rocio University Hospital Seville Spain

5. Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine University of Seville Seville Spain

6. Division of Abdominal Imaging, Department of Radiology University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA

7. Quantitative Imaging Biomarkers in Medicine QUIBIM SL Valencia Spain

8. Pathology Department Clinic University Hospital, INCLIVA Health Research Institute Valencia Spain

9. Faculty of Medicine University of Valencia Valencia Spain

10. Pathology Department La Fe University and Polytechnic Hospital Valencia Spain

11. Digestive Disease Department Hospital Arnau de Vilanova Valencia Spain

12. Digestive Disease Department La Fe University and Polytechnic Hospital Valencia Spain

13. Radiology Department La Fe University and Polytechnic Hospital Valencia Spain

14. CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas Instituto de Salud Carlos III Madrid Spain

15. Pathology Department Hospital Arnau de Vilanova Valencia Spain

16. Hepatology and Liver Transplantation Unit La Fe University and Polytechnic Hospital Valencia Spain

17. Radiology Department, Centro Hospitalar Universitário do Porto Instituto de Ciências Biomédicas de Abel Salazar, University of Porto Porto Portugal

18. University of Seville Seville Spain

Abstract

AbstractBackground and AimsDiagnosis of metabolic dysfunction‐associated steatohepatitis (MASH) requires histology. In this study, a magnetic resonance imaging (MRI) score was developed and validated to identify MASH in patients with metabolic dysfunction‐associated steatotic liver disease (MASLD). Secondarily, a screening strategy for MASH diagnosis was investigated.MethodsThis prospective multicentre study included 317 patients with biopsy‐proven MASLD and contemporaneous MRI. The discovery cohort (Spain, Portugal) included 194 patients. NAFLD activity score (NAS) and fibrosis were assessed with the NASH‐CRN histologic system. MASH was defined by the presence of steatosis, lobular inflammation, and ballooning, with NAS ≥4 with or without fibrosis. An MRI‐based composite biomarker of Proton Density Fat Fraction and waist circumference (MR–MASH score) was developed. Findings were afterwards validated in an independent cohort (United States, Spain) with different MRI protocols.ResultsIn the derivation cohort, 51% (n = 99) had MASH. The MR–MASH score identified MASH with an AUC = .88 (95% CI .83–.93) and strongly correlated with NAS (r = .69). The MRI score lower cut‐off corresponded to 88% sensitivity with 86% NPV, while the upper cut‐off corresponded to 92% specificity with 87% PPV. MR–MASH was validated with an AUC = .86 (95% CI .77–.92), 91% sensitivity (lower cut‐off) and 87% specificity (upper cut‐off). A two‐step screening strategy with sequential MR–MASH examination performed in patients with indeterminate‐high FIB‐4 or transient elastography showed an 83–84% PPV to identify MASH. The AUC of MR–MASH was significantly higher than that of the FAST score (p < .001).ConclusionsThe MR–MASH score has clinical utility in the identification and management of patients with MASH at risk of progression.

Funder

Gilead Sciences

Instituto de Salud Carlos III

Publisher

Wiley

Subject

Hepatology

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