Cited by 212Liver Disease Diagnosis and TreatmentAdvanced MRI Techniques and ApplicationsLiver Disease and Transplantation

Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease

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Pavlides, Michael, Banerjee, Rajarshi, Sellwood, Joanne, Kelly, Catherine J., Robson, Matthew D., Booth, Jonathan C., Collier, Jane, Neubauer, Stefan +1 more·2016·Journal of Hepatology

Abstract

BACKGROUND & AIMS: Multiparametric magnetic resonance (MR) imaging has been demonstrated to quantify hepatic fibrosis, iron, and steatosis. The aim of this study was to determine if MR can be used to predict negative clinical outcomes in liver disease patients. METHODS: Patients with chronic liver disease (n=112) were recruited for MR imaging and data on the development of liver related clinical events were collected by medical records review. The median follow-up was 27months. MR data were analysed blinded for the Liver Inflammation and Fibrosis score (LIF; <1, 1-1.99, 2-2.99, and ⩾3 representing normal, mild, moderate, and severe liver disease, respectively), T2∗ for liver iron content and proportion of liver fat. Baseline liver biopsy was performed in 102 patients. RESULTS: Liver disease aetiologies included non-alcoholic fatty liver disease (35%) and chronic viral hepatitis (30%). Histologically, fibrosis was mild in 54 (48%), moderate in 17 (15%), and severe in 31 (28%) patients. Overall mortality was 5%. Ten patients (11%) developed at least one liver related clinical event. The negative predictive value of LIF<2 was 100%. Two patients with LIF 2-2.99 and eight with LIF⩾3 had a clinical event. Patients with LIF⩾3 had a higher cumulative risk for developing clinical events, compared to those with LIF<1 (p=0.02) and LIF 1-1.99 (p=0.03). Cox regression analysis including all 3 variables (fat, iron, LIF) resulted in an enhanced LIF predictive value. CONCLUSIONS: Non-invasive standardised multiparametric MR technology may be used to predict clinical outcomes in patients with chronic liver disease.

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Crossref · 10.1016/j.jhep.2015.10.009

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  • Corrected T1 values provide a good estimate of the relative proportion of extracellular space and thus inflammatory activity and degree of fibrosis.

    “Resulting values provide a good estimate of the relative proportion of extracellular space and thus in fl ammatory activity and degree of fi brosis.”
  • Low availability and high costs limit wider use of LiverMultiScan.

    “However, low availability and high costs limit its wider use.”

    From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [161]

    The Patients and methods section identifies LiverMultiScan as the software used in the study but does not discuss its availability or price. The Introduction says other non-invasive techniques are not widely available, while the Discussion mentions costs associated with repeated liver biopsies; neither passage establishes that low availability or high costs limit LiverMultiScan’s use. Searches for LiverMultiScan availability and cost found no supporting passage. (LLM, conf=0.76)

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  1. [20]Torok N. Dranoff J.A. Schuppan D. Friedman S.L. Strategies and endpoints of antifibrotic drug trials Hepatology 62 2015 627 634 25626988 PMC4515973

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Authors
Pavlides, M., Banerjee, R., Sellwood, J., Kelly, C. J., Robson, M. D., Booth, J. C., Collier, J., Neubauer, S., & Barnes, E.
Affiliations
  • University of Oxford (GB)
  • Perspectum Ltd. (United Kingdom) (GB)
  • Royal Berkshire Hospital (GB)
Corresponding author
Barnes, Eleanor
Venue
Journal of Hepatology
Publisher
Elsevier BV
Published
2016-02
Volume
64
Issue
2
Pages
308-315
ISSN
0168-8278 (ISSN-L)
OpenAlex
W2201457922
Cited by
212
References
37
Citations by year
2026: 10 · 2025: 17 · 2024: 18 · 2023: 9 · 2022: 24 · 2021: 29 · 2020: 38 · 2019: 14 · 2018: 24 · 2017: 14 · 2016: 15
FWCI
13.85
Type
journal article
Language
en
Open access
Locations
  • Journal of Hepatology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
Oxford NIHR Biomedical Research Centre
Topics
  • Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Hepatology › Liver Disease and Transplantation
Keywords
chronic liver disease, multiparametric MRI, liver fibrosis, liver iron concentration, hepatic steatosis, non-alcoholic fatty liver disease, chronic viral hepatitis, T2-weighted imaging
MeSH terms
Adult, Biopsy, Female, Fibrosis, United Kingdom, Hepatitis, Chronic, Humans, Inflammation, Liver, Magnetic Resonance Imaging, Male, Middle Aged, Predictive Value of Tests, Prognosis, Severity of Illness Index, Risk Assessment, Kaplan-Meier Estimate, Non-alcoholic Fatty Liver Disease

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