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Development and validation of an image biomarker to identify metabolic dysfunction associated steatohepatitis: MR-MASH score.
Marti-Aguado, David; Arnouk, Joud; Liang, Jia-Xu; Lara-Romero, Carmen; Behari, Jaideep; Furlan, Alessandro; Jimenez-Pastor, Ana; Ten-Esteve, Amadeo; Alfaro-Cervello, Clara; Bauza, Mónica; Gallen-Peris, Ana; Gimeno-Torres, Marta; Merino-Murgui, Víctor; Perez-Girbes, Alexandre; Benlloch, Salvador; Pérez-Rojas, Judith; Puglia, Víctor; Ferrández-Izquierdo, Antonio; Aguilera, Victoria; Giesteira, Bruno; França, Manuela; Monton, Cristina; Escudero-García, Desamparados; Alberich-Bayarri, Ángel; Serra, Miguel A; Bataller, Ramon; Romero-Gomez, Manuel; Marti-Bonmati, Luis.
Afiliação
  • Marti-Aguado D; Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain.
  • Arnouk J; 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.
  • Liang JX; Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, Pittsburgh Liver Research Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Lara-Romero C; Digestive Diseases Department, CIBERehd, Virgen del Rocio University Hospital, Seville, Spain.
  • Behari J; Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine, University of Seville, Seville, Spain.
  • Furlan A; Digestive Diseases Department, CIBERehd, Virgen del Rocio University Hospital, Seville, Spain.
  • Jimenez-Pastor A; Institute of Biomedicine of Seville (HUVR/CSIC/US), Department of Medicine, University of Seville, Seville, Spain.
  • Ten-Esteve A; Division of Gastroenterology, Hepatology and Nutrition, Center for Liver Diseases, Pittsburgh Liver Research Center, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
  • Alfaro-Cervello C; Division of Abdominal Imaging, Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Bauza M; 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.
  • Gallen-Peris A; Quantitative Imaging Biomarkers in Medicine, QUIBIM SL, Valencia, Spain.
  • Gimeno-Torres M; 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.
  • Merino-Murgui V; Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain.
  • Perez-Girbes A; Faculty of Medicine, University of Valencia, Valencia, Spain.
  • Benlloch S; Pathology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.
  • Pérez-Rojas J; Digestive Disease Department, Hospital Arnau de Vilanova, Valencia, Spain.
  • Puglia V; Digestive Disease Department, La Fe University and Polytechnic Hospital, Valencia, Spain.
  • Ferrández-Izquierdo A; Digestive Disease Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain.
  • Aguilera V; 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.
  • Giesteira B; Radiology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.
  • França M; Digestive Disease Department, Hospital Arnau de Vilanova, Valencia, Spain.
  • Monton C; CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, Madrid, Spain.
  • Escudero-García D; Pathology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.
  • Alberich-Bayarri Á; Pathology Department, Hospital Arnau de Vilanova, Valencia, Spain.
  • Serra MA; Pathology Department, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain.
  • Bataller R; Faculty of Medicine, University of Valencia, Valencia, Spain.
  • Romero-Gomez M; CIBERehd, Centro de Investigación Biomédica en Red en Enfermedades Hepáticas y Digestivas, Instituto de Salud Carlos III, Madrid, Spain.
  • Marti-Bonmati L; Hepatology and Liver Transplantation Unit, La Fe University and Polytechnic Hospital, Valencia, Spain.
Liver Int ; 44(1): 202-213, 2024 01.
Article em En | MEDLINE | ID: mdl-37904633
ABSTRACT
BACKGROUND AND

AIMS:

Diagnosis 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.

METHODS:

This 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.

RESULTS:

In 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).

CONCLUSIONS:

The MR-MASH score has clinical utility in the identification and management of patients with MASH at risk of progression.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hepatopatia Gordurosa não Alcoólica / Fígado Limite: Humans Idioma: En Revista: Liver Int Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hepatopatia Gordurosa não Alcoólica / Fígado Limite: Humans Idioma: En Revista: Liver Int Assunto da revista: GASTROENTEROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Espanha