Evidence map›Paper›PMID 34148103›Full record

ArticleAbdominal radiology (New York)2021

Cardiac-induced liver deformation as a measure of liver stiffness using dynamic imaging without magnetization tagging-preclinical proof-of-concept, clinical translation, reproducibility and feasibility in patients with cirrhosis.

Manil D Chouhan, Heather E Fitzke, Alan Bainbridge, David Atkinson, Steve Halligan, Nathan Davies, Mark F Lythgoe, Rajeshwar P Mookerjee, Alex Menys, Stuart A Taylor

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Cine MR feature tracking analysis for diagnosing thymic epithelial tumors: a feasibility study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
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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

10 authors at 4 institutions in 1 country.

Manil D ChouhanDivision of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK. m.chouhan@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5903-1002
Heather E FitzkeDivision of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK.
Alan BainbridgeDepartment of Medical Physics, University College London Hospitals NHS Trust, London, UK.
David AtkinsonDivision of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK.
Steve HalliganDivision of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK.
Nathan DaviesDivision of Medicine, Institute for Liver and Digestive Health, University College London (UCL), London, UK.
Mark F LythgoeDivision of Medicine, Centre for Advanced Biomedical Imaging, University College London (UCL), London, UK.
Rajeshwar P MookerjeeDivision of Medicine, Institute for Liver and Digestive Health, University College London (UCL), London, UK.
Alex MenysDivision of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK.
Stuart A TaylorDivision of Medicine, Centre for Medical Imaging, University College London (UCL), London, UK.
University College London · GBQueen Mary University of London · GBUniversity College Hospital · GBUniversity College London Hospitals NHS Foundation Trust · GB

Funding

Wellcome Trust WT092186
6 · The paper itself

Abstract

purposeMR elastography and magnetization-tagging use liver stiffness (LS) measurements to diagnose fibrosis but require physical drivers, specialist sequences and post-processing. Here we evaluate non-rigid registration of dynamic two-dimensional cine MRI images to measure cardiac-induced liver deformation (LD) as a measure of LS by (i) assessing preclinical proof-of-concept, (ii) clinical reproducibility and inter-reader variability, (iii) the effects of hepatic hemodynamic changes and (iv) feasibility in patients with cirrhosis.

methodsSprague-Dawley rats (n = 21 bile duct ligated (BDL), n = 17 sham-operated controls) and fasted patients with liver cirrhosis (n = 11) and healthy volunteers (HVs, n = 10) underwent spoiled gradient-echo short-axis cardiac cine MRI studies at 9.4 T (rodents) and 3.0 T (humans). LD measurements were obtained from intrahepatic sub-cardiac regions-of-interest close to the diaphragmatic margin. One-week reproducibility and prandial stress induced hemodynamic changes were assessed in healthy volunteers.

resultsNormalized LD was higher in BDL (1.304 ± 0.062) compared with sham-operated rats (1.058 ± 0.045, P = 0.0031). HV seven-day reproducibility Bland-Altman (BA) limits-of-agreement (LoAs) were ± 0.028 a.u. and inter-reader variability BA LoAs were ± 0.030 a.u. Post-prandial LD increases were non-significant (+ 0.0083 ± 0.0076 a.u., P = 0.3028) and uncorrelated with PV flow changes (r = 0.42, p = 0.2219). LD measurements successfully obtained from all patients were not significantly higher in cirrhotics (0.102 ± 0.0099 a.u.) compared with HVs (0.080 ± 0.0063 a.u., P = 0.0847).

conclusionCardiac-induced LD is a conceptually reasonable approach from preclinical studies, measurements demonstrate good reproducibility and inter-reader variability, are less likely to be affected by hepatic hemodynamic changes and are feasible in patients with cirrhosis.

Indexed as

Elasticity Imaging TechniquesLiver CirrhosisAnimalsFeasibility StudiesHumansLiverRatsRats, Sprague-DawleyReproducibility of ResultsCirrhosisElasticity imaging techniquesLiver fibrosisMRIOrgan motion

Identifiers

PMID34148103
OpenAlexW3177178792

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.