Evidence mapPaperPMID 34849373Full record

ArticleFrontiers in physics2021

Feasibility of Hepatic Fat Quantification Using Proton Density Fat Fraction by Multi-Echo Chemical-Shift-Encoded MRI at 7T.

Radim Kořínek, Lorenz Pfleger, Korbinian Eckstein, Hannes Beiglböck, Simon Daniel Robinson, Michael Krebs, Siegfried Trattnig, Zenon Starčuk, Martin Krššák

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physics, 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
0.4field-weighted citation impact, top 39% 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, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Color Maps: Facilitating the Clinical Impact of Quantitative MRI.Journal of magnetic resonance imaging : JMRI · 2025
    Review
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 2 institutions in 2 countries.

Radim KořínekMagnetic Resonance group, Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czechia.
Lorenz PflegerDivision of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Korbinian EcksteinDepartment of Biomedical Imaging and Image-Guided Therapy, High-Field Magnetic Resonance Centre, Medical University of Vienna, Vienna, Austria.
Hannes BeiglböckDivision of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Simon Daniel RobinsonDepartment of Biomedical Imaging and Image-Guided Therapy, High-Field Magnetic Resonance Centre, Medical University of Vienna, Vienna, Austria.
Michael KrebsDivision of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Siegfried TrattnigDepartment of Biomedical Imaging and Image-Guided Therapy, High-Field Magnetic Resonance Centre, Medical University of Vienna, Vienna, Austria.
Zenon StarčukMagnetic Resonance group, Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czechia.
Martin KrššákDivision of Endocrinology and Metabolism, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATCzech Academy of Sciences, Institute of Scientific Instruments · CZ

Funding

Austrian Science Fund FWF P 31452
6 · The paper itself

Abstract

Fat fraction quantification and assessment of its distribution in the hepatic tissue become more important with the growing epidemic of obesity, and the increasing prevalence of diabetes mellitus type 2 and non-alcoholic fatty liver disease. At 3Tesla, the multi-echo, chemical-shift-encoded magnetic resonance imaging (CSE-MRI)-based acquisition allows the measurement of proton density fat-fraction (PDFF) even in clinical protocols. Further improvements in SNR can be achieved by the use of phased array coils and increased static magnetic field. The purpose of the study is to evaluate the feasibility of PDFF imaging using a multi-echo CSE-MRI technique at ultra-high magnetic field (7Tesla). Thirteen volunteers (M/F) with a broad range of age, body mass index, and hepatic PDFF were measured at 3 and 7T by multi-gradient-echo MRI and single-voxel spectroscopy MRS. All measurements were performed in breath-hold (exhalation); the MRI protocols were optimized for a short measurement time, thus minimizing motion-related problems. 7T data were processed off-line using Matlab® (MRI:multi-gradient-echo) and jMRUI (MRS), respectively. For quantitative validation of the PDFF results, a similar protocol was performed at 3T, including on-line data processing provided by the system manufacturer, and correlation analyses between 7 and 3T data were performed off-line. The multi-echo CSE-MRI measurements at 7T with a phased-array coil configuration and an optimal post-processing yielded liver volume coverage ranging from 30 to 90% for high- and low-BMI subjects, respectively. PDFFs ranged between 1 and 20%. We found significant correlations between 7T MRI and -MRS measurements (R

Indexed as

7TCSE-MRIfeasibilityliverPDFFultra-high magnetic field

Identifiers

PMID34849373
PMCPMC7612048
OpenAlexW3162978244

What Socratic 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 Socratic graph.