Abstract

LiverMultiScan is an emerging diagnostic tool using multiparametric MRI to quantify liver disease. In a two-centre prospective validation study, 161 consecutive adult patients who had clinically-indicated liver biopsies underwent contemporaneous non-contrast multiparametric MRI at 3.0 tesla (proton density fat fraction (PDFF), T1 and T2* mapping), transient elastography (TE) and Enhanced Liver Fibrosis (ELF) test. Non-invasive liver tests were correlated with gold standard histothological measures. Reproducibility of LiverMultiScan was investigated in 22 healthy volunteers. Iron-corrected T1 (cT1), TE, and ELF demonstrated a positive correlation with hepatic collagen proportionate area (all p < 0·001). TE was superior to ELF and cT1 for predicting fibrosis stage. cT1 maintained good predictive accuracy for diagnosing significant fibrosis in cases with indeterminate ELF, but not for cases with indeterminate TE values. PDFF had high predictive accuracy for individual steatosis grades, with AUROCs ranging from 0.90–0.94. T2* mapping diagnosed iron accumulation with AUROC of 0.79 (95% CI: 0.67–0.92) and negative predictive value of 96%. LiverMultiScan showed excellent test/re-test reliability (coefficients of variation ranging from 1.4% to 2.8% for cT1). Overall failure rates for LiverMultiScan, ELF and TE were 4.3%, 1.9% and 15%, respectively. LiverMultiScan is an emerging point-of-care diagnostic tool that is comparable with the established non-invasive tests for assessment of liver fibrosis, whilst at the same time offering a superior technical success rate and contemporaneous measurement of liver steatosis and iron accumulation.

Details

Title
Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study
Author
McDonald, Natasha 1 ; Eddowes, Peter J 2   VIAFID ORCID Logo  ; Hodson, James 3 ; Semple, Scott I K 4 ; Davies, Nigel P 5 ; Kelly, Catherine J 6 ; Stella, Kin 6 ; Phillips, Miranda 6 ; Herlihy, Amy H 6 ; Kendall, Timothy J 7   VIAFID ORCID Logo  ; Brown, Rachel M 8 ; Neil, Desley A H 8 ; Hübscher, Stefan G 9 ; Hirschfield, Gideon M 10 ; Fallowfield, Jonathan A 1   VIAFID ORCID Logo 

 MRC/University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, Edinburgh, UK 
 Centre for Liver Research and NIHR Birmingham BRC, University of Birmingham, Birmingham, UK; NIHR Nottingham BRC, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK 
 Institute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK 
 BHF/University of Edinburgh Centre for Cardiovascular Science, Queen’s Medical Research Institute, Edinburgh, UK 
 Imaging and Medical Physics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK 
 Perspectum Diagnostics Ltd., Oxford Centre for Innovation, Oxford, UK 
 MRC/University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, Edinburgh, UK; Division of Pathology, Royal Infirmary of Edinburgh, Edinburgh, UK 
 Department of Cellular Pathology, Queen Elizabeth Hospital, Birmingham, UK 
 Centre for Liver Research and NIHR Birmingham BRC, University of Birmingham, Birmingham, UK; Department of Cellular Pathology, Queen Elizabeth Hospital, Birmingham, UK 
10  Centre for Liver Research and NIHR Birmingham BRC, University of Birmingham, Birmingham, UK 
Pages
1-10
Publication year
2018
Publication date
Jun 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2055931677
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.