Evidence map›Paper›PMID 40034483›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Comparison of MR Spectroscopy, 2-Point Dixon, and Multi-Echo T2* Sequences in Assessing Hepatic Fat Fraction Across a Diverse Range of Body Mass Index (BMI) and Waist Circumference Ratio (WCR) Values.

Beata Brzeska, Agnieszka Sabisz, Oliwia Kozak, Edyta Szurowska, Joanna Pieńkowska

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Beata BrzeskaII Department of Radiology, Faculty of Health Studies, Medical University of Gdansk, Gdansk, Poland.ORCID 0000-0003-0383-8792
Agnieszka SabiszII Department of Radiology, Faculty of Health Studies, Medical University of Gdansk, Gdansk, Poland.ORCID 0000-0002-6653-5425
Oliwia KozakI Department of Radiology, Faculty of Medicine, Medical University of Gdansk, Gdansk, Poland.ORCID 0000-0002-2442-6730
Edyta SzurowskaII Department of Radiology, Faculty of Health Studies, Medical University of Gdansk, Gdansk, Poland.ORCID 0000-0002-7042-4381
Joanna PieńkowskaII Department of Radiology, Faculty of Health Studies, Medical University of Gdansk, Gdansk, Poland.ORCID 0000-0002-7087-9888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aimed to compare and evaluate the accuracy of three magnetic resonance imaging (MRI) sequences-MR liver spectroscopy, 2-point Dixon, and multi-echo T2*-in assessing hepatic fat fraction in patients with various body mass indexes (BMIs). Methods: 167 participants were recruited, including 110 healthy subjects with diverse BMIs and 57 bariatric surgery candidates. The MRI protocol involved three sequences: multi-echo single voxel STEAM 1H spectroscopy, 2-point mDixon, and multi-echo T2* sequence. Hepatic fat fraction was measured using these sequences and analyzed statistically to determine correlations and agreement between the methods. Results: A strong positive correlation was observed between BMI and waist circumference ratio (WCR) (r Conclusion: Robust correlations were observed between MR spectroscopy, 2-point Dixon, and multi-echo T2* methods for liver fat fraction measurement, especially in patients with higher BMI and WCR. These findings highlight the importance of BMI and WCR in interpreting fat fraction measurements, as method performance can vary across body composition profiles.

Indexed as

1HNMR liver spectroscopyhepatic steatosismagnetic resonance imaging

Identifiers

PMID40034483
PMCPMC11873016

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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.