Evidence map›Paper›PMID 28543915›Full record

ArticleJournal of magnetic resonance imaging : JMRI2018

Cross-sectional correlation between hepatic R2* and proton density fat fraction (PDFF) in children with hepatic steatosis.

Adrija Mamidipalli, Gavin Hamilton, Paul Manning, Cheng William Hong, Charlie C Park, Tanya Wolfson, Jonathan Hooker, Elhamy Heba, Alexandra Schlein, Anthony Gamst and 5 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 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
2.2field-weighted citation impact, top 12% 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, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Toward a realistic in silico abdominal phantom for QSM.Magnetic resonance in medicine · 2023
    Article
  4. Quantitative Susceptibility Mapping versus R2*-based Histogram Analysis for Evaluating Liver Fibrosis: Preliminary Results.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    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

15 authors at 3 institutions in 1 country.

Adrija MamidipalliLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
Gavin HamiltonLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
Paul ManningLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.ORCID 0000-0002-2947-3894
Cheng William HongLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
Charlie C ParkLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
Tanya WolfsonComputational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California - San Diego, San Diego, California, USA.
Jonathan HookerLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
Elhamy HebaLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
Alexandra SchleinLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
Anthony GamstComputational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California - San Diego, San Diego, California, USA.
Janis DurelleDepartment of Gastroenterology, Rady Children's Hospital San Diego, San Diego, California, USA.
Melissa PaizDepartment of Gastroenterology, Rady Children's Hospital San Diego, San Diego, California, USA.
Michael S MiddletonLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
Jeffrey B SchwimmerDivision of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California - San Diego, San Diego, California, USA.
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California, San Diego, California, USA.
University of California San Diego · USRady Children's Hospital-San Diego · USSan Diego Supercomputer Center · US

Funding

Pediatric Trials in Non-Alcoholic Steatohepatitis (NASH)U01DK061734 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROHIT LOOMBA · 2002 to 2026
$24.4M
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
Intestinal bacterial metagenome in pediatric NAFLDR01DK088831 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI SALZMAN, NITA H, WEINSTOCK, GEORGE M · 2012 to 2016
$7.0M
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4M
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
MR Imaging of Non-Alcoholic Fatty Liver DiseaseR01DK075128 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SIRLIN, CLAUDE B · 2006 to 2010
$2.4M
Development of MR Based Biomarker Panels for NAFLD _ A NASH CRN Ancillary StudyR56DK090350 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SCHWIMMER, JEFFREY BARNETT, SIRLIN, CLAUDE B · 2010 to 2012
$2.2M
NIBIB NIH HHS T32 EB005970NIDDK NIH HHS R01 DK075128NIDDK NIH HHS R01 DK088831NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK106419NIDDK NIH HHS R56 DK090350NIDDK NIH HHS U01 DK061734
6 · The paper itself

Abstract

purposeTo determine the relationship between hepatic proton density fat fraction (PDFF) and R2* in vivo. MATERIALS AND

methodsIn this Health Insurance Portability and Accountability Act (HIPAA)-compliant, Institutional Review Board (IRB)-approved, cross-sectional study, we conducted a secondary analysis of 3T magnetic resonance imaging (MRI) exams performed as part of prospective research studies in children in whom conditions associated with iron overload were excluded clinically. Each exam included low-flip-angle, multiecho magnitude (-M) and complex (-C) based chemical-shift-encoded MRI techniques with spectral modeling of fat to generate hepatic PDFF and R2* parametric maps. For each technique and each patient, regions of interest were placed on the maps in each of the nine Couinaud segments, and composite whole-liver PDFF and R2* values were calculated. Pearson's correlation coefficients between PDFF and R2* were computed for each MRI technique. Correlations were compared using Steiger's test.

resultsIn all, 184 children (123 boys, 61 girls) were included in this analysis. PDFF estimated by MRI-M and MRI-C ranged from 1.1-35.4% (9.44 ± 8.76) and 2.1-38.1% (10.1 ± 8.7), respectively. R2* estimated by MRI-M and MRI-C ranged from 32.6-78.7 s

conclusionHepatic PDFF and R2* are strongly correlated with each other in vivo. This relationship was observed using two different MRI techniques. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:418-424.

Indexed as

Adipose TissueAdolescentAdultChildCross-Sectional StudiesFemaleHumansImage Interpretation, Computer-AssistedIron OverloadLiverMagnetic Resonance ImagingMaleNon-alcoholic Fatty Liver DiseaseProspective StudiesYoung Adultchildrenhepatic steatosisiron overloadMRIPDFF (proton density fat fraction)R2*

Identifiers

PMID28543915
PMCPMC5702271
OpenAlexW2618958940

What OpenQuestion holds

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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.