Evidence map›Paper›PMID 29130539›Full record

ArticleNMR in biomedicine2018

Sources of systematic error in proton density fat fraction (PDFF) quantification in the liver evaluated from magnitude images with different numbers of echoes.

Mark Bydder, Gavin Hamilton, Ludovic de Rochefort, Ajinkya Desai, Elhamy R Heba, Rohit Loomba, Jeffrey B Schwimmer, Nikolaus M Szeverenyi, Claude B Sirlin

Open access · greenAbstract read
In one paragraph

Article in NMR in biomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  11. Differentiating supraclavicular from gluteal adipose tissue based on simultaneous PDFF and TJournal of magnetic resonance imaging : JMRI · 2019 · on this map
    Article
  12. Mapping tissue water TNMR in biomedicine · 2019
    Article
  13. 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

9 authors at 3 institutions in 2 countries.

Mark BydderAix-Marseille Université, Centre de Résonance Magnétique Biologique et Médicale, Marseille, France.ORCID http://orcid.org/0000-0001-9210-0225
Gavin HamiltonLiver Imaging Group, Department of Radiology, University of California, San Diego, CA, USA.
Ludovic de RochefortAix-Marseille Université, Centre de Résonance Magnétique Biologique et Médicale, Marseille, France.
Ajinkya DesaiLiver Imaging Group, Department of Radiology, University of California, San Diego, CA, USA.
Elhamy R HebaLiver Imaging Group, Department of Radiology, University of California, San Diego, CA, USA.
Rohit LoombaDivision of Gastroenterology, Department of Medicine, University of California, San Diego, CA, USA.
Jeffrey B SchwimmerDepartment of Pediatrics, University of California, San Diego, CA, USA.
Nikolaus M SzeverenyiLiver Imaging Group, Department of Radiology, University of California, San Diego, CA, USA.
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California, San Diego, CA, USA.
University of California System · USCentre National de la Recherche Scientifique · FRUniversity of California San Diego · US

Funding

Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
MR Imaging of Non-Alcoholic Fatty Liver DiseaseR01DK075128 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SIRLIN, CLAUDE B · 2006 to 2010
$2.4M
GENETIC EPIDEMIOLOGY OF NONALCOHOLIC FATTY LIVER DISEASEK23DK090303 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT · 2011 to 2014
$721k
NIDDK NIH HHS K23 DK090303NIDDK NIH HHS R01 DK075128NIDDK NIH HHS R01 DK088925
6 · The paper itself

Abstract

The purpose of this work was to investigate sources of bias in magnetic resonance imaging (MRI) liver fat quantification that lead to a dependence of the proton density fat fraction (PDFF) on the number of echoes. This was a retrospective analysis of liver MRI data from 463 subjects. The magnitude signal variation with TE from spoiled gradient echo images was curve fitted to estimate the PDFF using a model that included monoexponential R

Indexed as

AdiposityMagnetic Resonance ImagingProtonsAdolescentAdultAgedChildFemaleHumansLiverMaleMiddle AgedRegression AnalysisYoung AdultProtonsbiasfat quantificationliverNAFLDPDFF

Identifiers

PMID29130539
PMCPMC5761676
OpenAlexW2767997746

What OpenQuestion holds

Textmetadata
LicenceTDM
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.