Evidence map›Paper›PMID 41133428›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Fat-Corrected Non-Gaussian Diffusion MRI for Liver Fibrosis Assessment in Metabolic Dysfunction-Associated Steatotic Liver Disease.

Omaïma Saïd, Sabrina Doblas, Valérie Paradis, Pierre Bedossa, Dominique Valla, Cédric Laouénan, Laurent Castera, Bernard E Van Beers, Philippe Garteiser

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Omaïma SaïdCenter for Research on Inflammation, Inserm U1149 Université Paris Cité, Paris, France.
Sabrina DoblasCenter for Research on Inflammation, Inserm U1149 Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0002-5194-3872
Valérie ParadisCenter for Research on Inflammation, Inserm U1149 Université Paris Cité, Paris, France.
Pierre BedossaCenter for Research on Inflammation, Inserm U1149 Université Paris Cité, Paris, France.
Dominique VallaCenter for Research on Inflammation, Inserm U1149 Université Paris Cité, Paris, France.
Cédric LaouénanInfection, Antimicrobials, Modelling, Evolution (IAME), Inserm U1137 Université Paris Cité - Université Sorbonne Paris Nord, Paris, France.
Laurent CasteraCenter for Research on Inflammation, Inserm U1149 Université Paris Cité, Paris, France.
Bernard E Van BeersCenter for Research on Inflammation, Inserm U1149 Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0001-6429-1140
Philippe GarteiserCenter for Research on Inflammation, Inserm U1149 Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0003-0157-8851

Funding

ANR AAPG "StediNASH" ANR-20-CE19-0005ANR RHU "QuidNASH" ANR-17-RHUS-0009Université Paris Cité
6 · The paper itself

Abstract

backgroundIn patients with metabolic dysfunction-associated steatotic liver disease (MASLD), non-Gaussian diffusion-weighted imaging (DWI) has been proposed for the diagnosis of liver fibrosis, but its measurement is partially confounded by steatosis. We therefore asked whether a fat-corrected approach could improve fibrosis assessment. PURPOSE: To evaluate the diagnostic performance of non-Gaussian diffusion coefficients for the assessment of fibrosis in MASLD patients with a method accounting for intravoxel fat. STUDY TYPE: Prospective single-center cross-sectional study. POPULATION: A total of 289 participants with Type 2 diabetes, hepatic steatosis, and elevated aminotransferases were enrolled from October 2018 to June 2021. Among them, 222 participants (mean age 59 ± 10 years; 149 men) underwent liver biopsy and MRI and were included in the final analysis. FIELD STRENGTH/SEQUENCE: 3 T, DWI using spin-echo echo-planar imaging, MR elastography (MRE) using gradient echo sequence and fat fraction imaging using a multiple gradient echoes sequence. ASSESSMENT: Diffusion coefficients were estimated using two non-Gaussian models: a shifted apparent diffusion coefficient (sADC) and a non-linear least squares fit (ngADC), both computed without and with intravoxel fat correction (corr) using fat fraction on PDFF. Fibrosis was staged histologically. Quantitative parameters were compared across fibrosis stages. Diagnostic performance for F0 versus ≥ F1 was evaluated and compared to liver stiffness on MRE. STATISTICAL TESTS: Group comparisons used Kruskal-Wallis tests (α = 0.05), and diagnostic performance was assessed via receiver operating characteristic (ROC) curve analysis with 95% confidence intervals, with p < 0.05 considered statistically significant.

resultsngADC DATA

conclusionFit-based non-Gaussian DWI with fat correction could potentially be used with similar diagnostic accuracy as MRE for detecting fibrosis in patients with MASLD. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 2.

Indexed as

Diffusion Magnetic Resonance ImagingFatty LiverLiver CirrhosisAgedBiopsyCross-Sectional StudiesElasticity Imaging TechniquesFemaleHumansLiverMaleMiddle AgedProspective StudiesROC Curvediffusion‐weighted MRIintravoxel fat correctionliver fibrosisMASLDMR elastographynon‐gaussian diffusion

Identifiers

PMID41133428
PMCPMC12811005

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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.