Evidence map›Paper›PMID 41394429›Full record

ArticleRadiology advances2025

Multifrequency MR elastography for grading inflammation in metabolic dysfunction-associated steatotic liver disease: a pilot study.

Amirhosein Baradaran Najar, Guillaume Gilbert, Anton Volniansky, Elige Karam, Audrey Fohlen, Maxime Barat, Emmanuel Montagnon, Hélène Castel, Jeanne-Marie Giard, Marie-Pierre Sylvestre and 4 more

Abstract read
In one paragraph

Article in Radiology advances, 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. 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

14 authors.

Amirhosein Baradaran NajarDépartement de génie mécanique, Université de Sherbrooke, Sherbrooske, QC J1K 2R1, Canada.ORCID https://orcid.org/0009-0008-6832-4753
Guillaume GilbertMR Clinical Science, Philips Healthcare, Mississauga, ON L4W 5P1, Canada.ORCID https://orcid.org/0000-0002-9960-1062
Anton VolnianskyDepartment of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada.ORCID https://orcid.org/0009-0001-4831-9059
Elige KaramLaboratoire clinique de traitement de l'image (LCTI), Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada.ORCID https://orcid.org/0000-0001-6975-9515
Audrey FohlenLaboratoire clinique de traitement de l'image (LCTI), Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada.
Maxime BaratDepartment of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada.ORCID https://orcid.org/0000-0002-0360-0875
Emmanuel MontagnonLaboratoire clinique de traitement de l'image (LCTI), Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada.ORCID https://orcid.org/0000-0003-3091-9651
Hélène CastelDepartment of Hepatology and Liver Transplantation, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, QC H2X 0C1, Canada.
Jeanne-Marie GiardDepartment of Hepatology and Liver Transplantation, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, QC H2X 0C1, Canada.
Marie-Pierre SylvestreDepartment of Social and Preventive Medicine, École de santé publique de l'université de Montréal (ESPUM), Montréal, QC H3N 1X9, Canada.ORCID https://orcid.org/0000-0001-5803-4615
Bich N NguyenService of Pathology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, QC H2X 0C1, Canada.
Guy CloutierDepartment of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montréal, Montréal, QC H3T 1J4, Canada.ORCID https://orcid.org/0000-0002-4957-4844
Elijah Van HoutenDépartement de génie mécanique, Université de Sherbrooke, Sherbrooske, QC J1K 2R1, Canada.
An TangLaboratoire clinique de traitement de l'image (LCTI), Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC H2X 0A9, Canada.ORCID https://orcid.org/0000-0001-8967-5503

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Noninvasive grading of liver inflammation in metabolic dysfunction-associated steatotic liver disease (MASLD) remains an unmet clinical need. Purpose: To evaluate the diagnostic performance of multifrequency MR elastography (MMRE) for grading liver inflammation and diagnosing metabolic dysfunction-associated steatohepatitis (MASH). Materials and methods: In this prospective, single-site study, participants underwent MMRE at 30, 40, and 60 Hz on a 3T system. Multifrequency dispersion coefficient (α), storage modulus ( Results: Of the 72 participants enrolled, 60 (12 healthy, 48 MASLD) were analyzable. Correlations of α, Conclusion: The multifrequency dispersion coefficient α was associated with histologic inflammation and should be further evaluated with external validation as a possible clinical marker in MASLD.

Indexed as

biopsyinflammationmetabolic dysfunction-associated steatohepatitis (MASH)metabolic dysfunction-associated steatotic liver disease (MASLD)MR elastographynonlinear inversionviscoelastic properties

Identifiers

PMID41394429
PMCPMC12699651

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.