Evidence map›Paper›PMID 42551867›Full record

ReviewKorean journal of radiology2026

Diffusion-Weighted Imaging-Based Virtual MR Elastography of the Liver: Beyond Mechanical Waves.

Takashi Ota, Denis Le Bihan, Masatoshi Hori, Atsushi Nakamoto, Hideyuki Fukui, Hiromitsu Onishi, Noriyuki Tomiyama

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Takashi Ota *Department of Diagnostic and Interventional Radiology, The University of Osaka Graduate School of Medicine, Suita, Japan. t-ota@radiol.med.osaka-u.ac.jp.ORCID https://orcid.org/0000-0003-3902-8230
Denis Le Bihan *NeuroSpin/Joliot, CEA-Saclay Center, Paris-Saclay University, Saclay, France.ORCID https://orcid.org/0000-0002-4454-729X
Masatoshi HoriDepartment of Artificial Intelligence in Diagnostic Radiology, The University of Osaka Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-2523-3789
Atsushi NakamotoDepartment of Diagnostic and Interventional Radiology, The University of Osaka Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0001-8540-1855
Hideyuki FukuiDepartment of Diagnostic and Interventional Radiology, The University of Osaka Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-6330-2482
Hiromitsu OnishiDepartment of Medical Physics and Engineering, The University of Osaka Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-3241-5994
Noriyuki TomiyamaDepartment of Diagnostic and Interventional Radiology, The University of Osaka Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0001-9918-7327

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance elastography (MRE) is widely recognized as the most accurate, non-invasive imaging technique for evaluating liver fibrosis. However, MRE requires dedicated hardware, including an external vibration device, which limits its availability. Virtual MRE (VMRE) has recently emerged as a promising alternative technique in which tissue stiffness is estimated using diffusion-weighted imaging data without the need for external mechanical vibrations. VMRE is based on the hypothesis that tissue elasticity and water diffusivity share common mechanical features at the microstructural level. By calculating the shift in the apparent diffusion coefficient from the optimized b-values (200 and 1,500 s/mm²), the virtual stiffness can be derived and calibrated against the MRE-derived stiffness. Studies in cohorts with chronic viral hepatitis have demonstrated strong correlations between VMRE and MRE findings, with both techniques showing good agreement in liver fibrosis staging. Although the utility of VMRE in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) was previously considered debatable because of the confounding effects of steatosis, recent evidence suggests that VMRE performed using an optimized fat-correction method combined with MASLD-specific b-values (200 and 1,200 s/mm²) can achieve diagnostic performance comparable to that of MRE. Beyond liver fibrosis assessment, the combination of VMRE and MRE has shown potential for distinguishing hepatocellular carcinoma from metastatic liver cancers. This article provides a comprehensive overview of VMRE, including its technical basis and current clinical applications in chronic liver diseases and focal liver lesions.

Indexed as

Diffusion Magnetic Resonance ImagingElasticity Imaging TechniquesLiverLiver CirrhosisLiver DiseasesFatty LiverHumansLiver NeoplasmsDiffusion-weighted imagingElastographyLiver fibrosisMagnetic resonance imagingVirtual

Identifiers

PMID42551867
PMCPMC13537871

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.