Evidence map›Paper›PMID 25916386›Full record

ArticleEuropean radiology2015

Proton density fat-fraction is an accurate biomarker of hepatic steatosis in adolescent girls and young women.

Jennifer L Rehm, Peter M Wolfgram, Diego Hernando, Jens C Eickhoff, David B Allen, Scott B Reeder

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Jennifer L RehmDepartment of Pediatrics, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53715-4108, USA, jrehm@wisc.edu.
Peter M Wolfgram
Diego Hernando
Jens C Eickhoff
David B Allen
Scott B Reeder
University of Wisconsin–Madison · USMedical College of Wisconsin · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
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
BUILDING INTERDISCIPLINARY RESEARCH CAREER IN WOMEN'S HEALTH (BIRCWH) SCHOLARSK12HD055894 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI BURNSIDE, ELIZABETH S · 2007 to 2016
$4.1M
Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
Childhood Diabetes Clinical & Molecular Research Training ProgramT32DK077586 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI Brigid Ellen Gregg, Scott B. Reeder · 2008 to 2026
$2.4M
Technical Development of Quantitative Biomarkers of Fatty Liver Disease with MRIR01DK083380 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2010 to 2013
$1.2M
Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During PubertyK24DK102595 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2018
$927k
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1TR00427NICHD NIH HHS K12 HD055894NICHD NIH HHS K12HD055894NIDDK NIH HHS K24 DK102595NIDDK NIH HHS K24DK102595NIDDK NIH HHS R01 DK083380NIDDK NIH HHS R01DK083380NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01DK088925NIDDK NIH HHS R01 DK100651NIDDK NIH HHS R01DK100651NIDDK NIH HHS T32 DK077586NIDDK NIH HHS T32DK07758604
6 · The paper itself

Abstract

objectivesTo compare complex quantitative magnetic resonance imaging (MRI) with MR spectroscopy (MRS) for quantification of hepatic steatosis (HS) and determine clinically significant MRI-based thresholds of HS in female youths.

methodsThis prospective, cross-sectional study was conducted in 132 healthy females (11-22 years, mean 13.3 ± 2). Proton density fat-fraction (PDFF) was measured using complex quantitative MRI and MRS. Body mass index (BMI), fasting labs [glucose, insulin, alanine aminotransferase (ALT), and other metabolic markers] were obtained. Outcomes were measured using regression analysis, Spearman-rank correlation, and receiver operator characteristics (ROC) analysis. HS was defined as MRI-PDFF >5.6%.

resultsHS was detected by MRI-PDFF in 15% of all subjects. Linear regression demonstrated excellent correlation and agreement [r(2) = 0.96, slope = 0.97 (95 %CI: 0.94-1.00), intercept = 0.78% (95 %CI: 0.58-0.98%)] between MRI-PDFF and MRS-PDFF. MRI-PDFF had a sensitivity of 100% (95 %CI: 0.79-1.00), specificity of 96.6% (95 %CI: 0.91-0.99), and a kappa index of 87% (95 %CI: 0.75-0.99) for identifying HS. In overweight subjects with HS, MRI-PDFF correlated with ALT (r = 0.84, p < 0.0001) and insulin (r = 0.833, p < 0.001), but not with BMI or WC. ROC analysis ascertained an optimal MRI-PDFF threshold of 3.5% for predicting metabolic syndrome (sensitivity = 76 %, specificity = 83 %).

conclusionComplex quantitative MRI demonstrates strong correlation and agreement with MRS to quantify hepatic triglyceride content in adolescent girls and young women. A low PDFF threshold is predictive of metabolic syndrome in this population. KEY POINTS: • Confounder-corrected quantitative MRI (ccqMRI) effectively measures hepatic triglyceride content in adolescent girls. • MRS and ccqMRI strongly correlate in liver proton density fat-fraction (PDFF) detection. • A PDFF threshold of 3.5% may be predictive of paediatric metabolic syndrome.

Indexed as

ProtonsAdolescentAlanine TransaminaseBiomarkersBody Mass IndexChildCross-Sectional StudiesFatty LiverFemaleHealthy VolunteersHumansLinear ModelsMagnetic Resonance ImagingMagnetic Resonance SpectroscopyOverweightProspective StudiesAlanine TransaminaseBiomarkersProtonsTriglycerides

Identifiers

PMID25916386
PMCPMC4564339
OpenAlexW2035501772

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.