Evidence map›Paper›PMID 40603546›Full record

ArticleNpj imaging2025

Noninvasive assessment of liver inflammation in metabolic dysfunction associated steatohepatitis using MR cytometry.

Xiaoyu Jiang, Mary Kay Washington, Manhal J Izzy, Gracie Piantek, Ming Lu, Xinqiang Yan, John C Gore, Junzhong Xu

Abstract read
In one paragraph

Article in Npj imaging, 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

8 authors.

Xiaoyu JiangVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA. xiaoyu.jiang@vumc.org.
Mary Kay WashingtonDepartment of Pathology, Microbiology and Immunology, Vanderbilt University, Nashville, TN, USA.
Manhal J IzzyDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Gracie PiantekVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Ming LuVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Xinqiang YanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
John C GoreVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Junzhong XuVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

MRI Diffusion in Tumors Using Oscillating GradientsR01CA109106 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI XU, JUNZHONG · 2006 to 2022
$4.0M
in vivo MR characterization of pathological changes in liver microstructuresR01DK135950 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xiaoyu Jiang · 2024 to 2026
$1.2M
NIDDK NIH HHS R01 DK135950NIH/NCI R01CA109106NIH/NIDDK R01DK135950
6 · The paper itself

Abstract

The current diagnostic gold standard for metabolic dysfunction-associated steatohepatitis (MASH) requires invasive biopsy to assess steatosis, inflammation, and ballooning. While MRI-based proton density fat fraction (PDFF) and MR elastography address steatosis and fibrosis, non-invasive methods for evaluating hepatic inflammation remain lacking. This study developed a diffusion MRI (dMRI)-based MR cytometry technique to map liver cellular properties, including MRI-derived cell size (excluding fat content) and cell density. Validation through histology-driven simulations and ex vivo MRI of fixed human liver specimens demonstrated that stromal regions exhibit smaller MRI-derived cell sizes and higher cell densities than both normal and fatty tissues. An in vivo feasibility study, conducted on healthy subjects (n = 5) and MASH patients (n = 5) using a clinical 3 T MRI system, further showcased the potential of MR cytometry to characterize pathological changes in liver microstructure.

Identifiers

PMID40603546
PMCPMC12118690

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Registered trials

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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.