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Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study
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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003924/ https://www.ncbi.nlm.nih.gov/pubmed/29907829 http://dx.doi.org/10.1038/s41598-018-27560-5 |
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author | McDonald, Natasha Eddowes, Peter J. Hodson, James Semple, Scott I. K. Davies, Nigel P. Kelly, Catherine J. Kin, Stella Phillips, Miranda Herlihy, Amy H. Kendall, Timothy J. Brown, Rachel M. Neil, Desley A. H. Hübscher, Stefan G. Hirschfield, Gideon M. Fallowfield, Jonathan A. |
author_facet | McDonald, Natasha Eddowes, Peter J. Hodson, James Semple, Scott I. K. Davies, Nigel P. Kelly, Catherine J. Kin, Stella Phillips, Miranda Herlihy, Amy H. Kendall, Timothy J. Brown, Rachel M. Neil, Desley A. H. Hübscher, Stefan G. Hirschfield, Gideon M. Fallowfield, Jonathan A. |
author_sort | McDonald, Natasha |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6003924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60039242018-06-26 Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study McDonald, Natasha Eddowes, Peter J. Hodson, James Semple, Scott I. K. Davies, Nigel P. Kelly, Catherine J. Kin, Stella Phillips, Miranda Herlihy, Amy H. Kendall, Timothy J. Brown, Rachel M. Neil, Desley A. H. Hübscher, Stefan G. Hirschfield, Gideon M. Fallowfield, Jonathan A. Sci Rep Article 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. Nature Publishing Group UK 2018-06-15 /pmc/articles/PMC6003924/ /pubmed/29907829 http://dx.doi.org/10.1038/s41598-018-27560-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article McDonald, Natasha Eddowes, Peter J. Hodson, James Semple, Scott I. K. Davies, Nigel P. Kelly, Catherine J. Kin, Stella Phillips, Miranda Herlihy, Amy H. Kendall, Timothy J. Brown, Rachel M. Neil, Desley A. H. Hübscher, Stefan G. Hirschfield, Gideon M. Fallowfield, Jonathan A. Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study |
title | Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study |
title_full | Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study |
title_fullStr | Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study |
title_full_unstemmed | Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study |
title_short | Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study |
title_sort | multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003924/ https://www.ncbi.nlm.nih.gov/pubmed/29907829 http://dx.doi.org/10.1038/s41598-018-27560-5 |
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