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Clinical utility of MRI biomarkers for identifying NASH patients’ high risk of progression: A multi-center pooled data and meta-analysis
Clinical Gastroenterology and Hepatology  (IF11.382),  Pub Date : 2021-10-07, DOI: 10.1016/j.cgh.2021.09.041
Anneli Andersson, Matt Kelly, Kento Imajo, Atsushi Nakajima, Jonathan A. Fallowfield, Gideon Hirschfield, Michael Pavlides, Arun J. Sanyal, Mazen Noureddin, Rajarshi Banerjee, Andrea Dennis, Stephen Harrison

Background and aims

Non-alcoholic fatty liver disease (NAFLD) is increasing in prevalence worldwide. NAFLD is associated with excess risk of all-cause mortality, and its progression to non-alcoholic steatohepatitis (NASH) and fibrosis accounts for a growing proportion of cirrhosis and hepatocellular cancer and thus is a leading cause of liver transplant worldwide. Non-invasive precise methods to identify patients with NASH and NASH with significant disease activity and fibrosis when the disease is still modifiable are crucial. The aim of this study was to examine the clinical utility of cT1 versus MRI liver fat for identification of NASH participants with NAS ≥4 and F ≥2 (“high-risk” NASH).

Methods

Data from five clinical studies (n=543) with participants suspected of NAFLD were pooled or used for individual participant data meta-analysis. The diagnostic accuracy of the MRI biomarkers to stratify NASH patients was determined using Area Under the Receiver Operating Characteristic curve (AUROC).

Results

A stepwise increase in cT1 and MRI liver fat with increased NAFLD severity was demonstrated, and cT1 was significantly higher in NASH participants with fibrosis grade ≥2 (high-risk NASH). The diagnostic accuracy (AUROC [95% CI]) of cT1 to identify those with NASH was 0.78 [CI: 0.74-0.82], for liver fat was 0.78 [CI: 0.73-0.82], and when combined with MRI liver fat was 0.82 [CI: 0.78-0.85]. The diagnostic accuracy of cT1 to identify those with high-risk NASH was good (AUROC: 0.78 [CI: 0.74-0.82]), was superior to MRI liver fat (AUROC: 0.69 [CI: 0.64-0.74]) and was not substantially improved by combining it with MRI liver fat (AUC: 0.79, [CI: 0.75-0.83]). The meta-analysis showed similar performance to the pooled analysis for these biomarkers.

Conclusions

This study demonstrates that quantitative MRI derived biomarkers cT1 and liver fat are suitable for identifying those with NASH, and cT1 is a better non-invasive technology than liver fat to identify NASH patients at greatest risk of disease progression. MRI cT1 and liver fat therefore have important clinical utility to help guide appropriate use of interventions in NAFLD and NASH clinical care pathways.