Evidence map›Paper›PMID 29907829›Full record

Observational studyScientific reports2018

Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study.

Natasha McDonald, Peter J Eddowes, James Hodson, Scott I K Semple, Nigel P Davies, Catherine J Kelly, Stella Kin, Miranda Phillips, Amy H Herlihy, Timothy J Kendall and 5 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyObservational StudyValidation Study
In one paragraph

Observational study in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05462093 (Clinical Application of Annual Liver Multiscan and MRCP+ in Primary Sclerosing Cholangitis), which is not on this map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05462093 nanot yet recruitingnot on this mapstarted 2022, after this paper: background citation

Clinical Application of Annual Liver Multiscan and MRCP+ in Primary Sclerosing Cholangitis: the CATCH-IT Study

TypeinterventionalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2022 to 2029Enrolled200ConditionsPrimary Sclerosing CholangitisArmsLiver Multiscan sequences, Liver Multiscan analysis, MRCP+
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Observational
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  10. Accurate and precise in vivo liver 3D TMagnetic resonance in medicine · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Optimal flip angles for in vivo liver 3D TMagnetic resonance in medicine · 2023
    Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 1 country.

Natasha McDonaldMRC/University of Edinburgh Centre for Inflammation Research, Queen's Medical Research Institute, Edinburgh, EH16 4TJ, UK.
Peter J EddowesCentre for Liver Research and NIHR Birmingham BRC, University of Birmingham, Birmingham, B15 2TT, UK.ORCID 0000-0002-6951-7054
James HodsonInstitute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2TT, UK.
Scott I K SempleBHF/University of Edinburgh Centre for Cardiovascular Science, Queen's Medical Research Institute, Edinburgh, EH16 4TJ, UK.
Nigel P DaviesImaging and Medical Physics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B15 2TH, UK.
Catherine J KellyPerspectum Diagnostics Ltd., Oxford Centre for Innovation, Oxford, OX1 1BY, UK.
Stella KinPerspectum Diagnostics Ltd., Oxford Centre for Innovation, Oxford, OX1 1BY, UK.
Miranda PhillipsPerspectum Diagnostics Ltd., Oxford Centre for Innovation, Oxford, OX1 1BY, UK.
Amy H HerlihyPerspectum Diagnostics Ltd., Oxford Centre for Innovation, Oxford, OX1 1BY, UK.
Timothy J KendallMRC/University of Edinburgh Centre for Inflammation Research, Queen's Medical Research Institute, Edinburgh, EH16 4TJ, UK.ORCID 0000-0002-4174-2786
Rachel M BrownDepartment of Cellular Pathology, Queen Elizabeth Hospital, Birmingham, B15 2TH, UK.
Desley A H NeilDepartment of Cellular Pathology, Queen Elizabeth Hospital, Birmingham, B15 2TH, UK.
Stefan G HübscherCentre for Liver Research and NIHR Birmingham BRC, University of Birmingham, Birmingham, B15 2TT, UK.
Gideon M HirschfieldCentre for Liver Research and NIHR Birmingham BRC, University of Birmingham, Birmingham, B15 2TT, UK.
Jonathan A FallowfieldMRC/University of Edinburgh Centre for Inflammation Research, Queen's Medical Research Institute, Edinburgh, EH16 4TJ, UK. Jonathan.Fallowfield@ed.ac.uk.ORCID 0000-0002-5741-1471
Oxford Drug Design (United Kingdom) · GBQueen Elizabeth Hospital Birmingham · GBQueen's Medical Centre · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBEdinburgh Royal Infirmary · GBNIHR Birmingham Liver Biomedical Research Unit · GBNottingham University Hospitals NHS Trust · GBThe Queen's Medical Research Institute · GB

Funding

Chief Scientist Office SCD/20Wellcome TrustWellcome Trust 095898/Z/11/Z
6 · The paper itself

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.

Indexed as

Fatty LiverIronLiverLiver CirrhosisMagnetic Resonance ImagingAdultBiopsyCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesIron

Identifiers

PMID29907829
PMCPMC6003924
OpenAlexW2808157877

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.