Evidence map›Paper›PMID 28894290›Full record

ArticleInternational journal of obesity (2005)2018

Association of proton density fat fraction in adipose tissue with imaging-based and anthropometric obesity markers in adults.

D Franz, D Weidlich, F Freitag, C Holzapfel, T Drabsch, T Baum, H Eggers, A Witte, E J Rummeny, H Hauner and 1 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

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  12. Proton density fat fraction: magnetic resonance imaging applications beyond the liver.Diagnostic and interventional radiology (Ankara, Turkey) · 2022
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  15. TMagnetic resonance in medicine · 2020
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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

11 authors at 4 institutions in 1 country.

D FranzDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
D WeidlichDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
F FreitagDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
C HolzapfelInstitute for Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
T DrabschInstitute for Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
T BaumDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
H EggersPhilips Research Laboratory, Hamburg, Germany.
A WitteFOM University of Applied Sciences, Essen, Germany.
E J RummenyDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
H HaunerInstitute for Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
D C KarampinosDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Klinikum rechts der Isar · DETechnical University of Munich · DEFOM University of Applied Sciences for Economics and Management · DEPhilips (Germany) · DE

Funding

European Research Council 677661
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe purpose of this study was to examine the relationship of the proton density fat fraction (PDFF), measured by magnetic resonance imaging (MRI), of supraclavicular and gluteal adipose tissue with subcutaneous and visceral adipose tissue (SAT and VAT) volumes, liver fat fraction and anthropometric obesity markers. The supraclavicular fossa was selected as a typical location where brown adipocytes may be present in humans and the gluteal region was selected as a typical location enclosing primarily white adipocytes. SUBJECTS/

methodsIn this cross-sectional study, 61 adults (44 women, median age 29.3 years, range 21-68 years) underwent an MRI examination of the neck and the abdomen/pelvis (3T, Ingenia, Philips Healthcare). PDFF maps of the supraclavicular and gluteal adipose tissue and the liver were generated. Volumes of SAT and VAT were calculated and supraclavicular and subcutaneous fat were segmented using custom-built post-processing algorithms. Body mass index (BMI), waist circumference and waist-to-height ratio were recorded. Statistical analysis was conducted using the Student's t-test and Pearson correlation analysis.

resultsMean supraclavicular PDFF was 75.3±4.7% (range 65.4-83.8%) and mean gluteal PDFF was 89.7±2.9% (range 82.2-94%), resulting in a significant difference (P<0.0001). Supraclavicular PDFF was positively correlated with VAT (r=0.76, P<0.0001), SAT (r=0.73, P<0.0001), liver PDFF (r=0.42, P=0.0008) and all measured anthropometric obesity markers. Gluteal subcutaneous PDFF also correlated with VAT (r=0.59, P<0.0001), SAT (r=0.63, P<0.0001), liver PDFF (r=0.3, P=0.02) and anthropometric obesity markers.

conclusionsThe positive correlations between adipose tissue PDFF and imaging, as well as anthropometric obesity markers suggest that adipose tissue PDFF may be useful as a biomarker for improving the characterization of the obese phenotype, for risk stratification and for selection of appropriate treatment strategies.

Indexed as

Magnetic Resonance ImagingProtonsAdipose Tissue, BrownAdipose Tissue, WhiteAdultAgedAlgorithmsAnthropometryBiomarkersBody Fat DistributionBody Mass IndexCross-Sectional StudiesFemaleHumansImage Interpretation, Computer-AssistedLiverBiomarkersProtons

Identifiers

PMID28894290
PMCPMC5737837
OpenAlexW2747254076

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.