Evidence map›Paper›PMID 41266333›Full record

ArticleNature communications2025

3D multiparametric ultrasound imaging of steatotic liver disease in a study with male rats.

Donghyun Lee, Jinseok Heo, Hyeonji Mun, Donghyeon Oh, Yongjoo Ahn, Chulhong Kim

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Donghyun Lee *Departments of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Jinseok Heo *Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.ORCID http://orcid.org/0009-0000-8401-3033
Hyeonji Mun *Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.ORCID http://orcid.org/0009-0006-9935-2031
Donghyeon OhDepartments of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. lumin9219@postech.ac.kr.ORCID http://orcid.org/0000-0002-5553-5649
Yongjoo AhnDepartments of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. ahnyj@postech.ac.kr.ORCID http://orcid.org/0000-0002-0013-627X
Chulhong KimDepartments of Convergence IT Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. chulhong@postech.edu.ORCID http://orcid.org/0000-0001-7249-1257

Funding

National Research Foundation of Korea (NRF) 2023R1A2C3004880National Research Foundation of Korea (NRF) RS-2024-00335346
6 · The paper itself

Abstract

Steatotic liver disease (SLD) is the most prevalent chronic liver disease worldwide, requiring precise diagnosis and ongoing monitoring. Ultrasound imaging (USI) is widely used to diagnose steatosis, but it suffers from limited sensitivity/specificity and/or high observer variability. Assessment of hepatic vascular changes during SLD progression has diagnostic relevance because steatosis can induce sinusoidal microvascular dysfunction. Here, we demonstrate 3D multiparametric hepatic USI of SLD in living male rats by coordinating ultrafast Doppler imaging (UFD) and quantitative USI. Vessel volume, perfusion, branching, and tortuosity are quantified from 3D UFD, while tissue attenuation level and heterogeneity are estimated through quantitative USI. Over 8 weeks, hepatic vascular alterations were quantitatively monitored in vivo via 3D UFD during the progression and recovery periods of the SLD. Changes in vascular indices were strongly correlated with hepatic fat accumulation revealed by histopathology, demonstrating great diagnostic potential. Finally, all-around US score comprising five US indices showed a Pearson's coefficient of 0.96 and an average balanced accuracy of 92%, exceeding the performance of each US index alone. Although the translatability to human liver imaging remains limited, these findings suggest that 3D multiparametric USI could serve as a valuable modality for the diagnosis and monitoring of SLD.

Indexed as

Fatty LiverImaging, Three-DimensionalLiverAnimalsDisease Models, AnimalMaleRatsRats, Sprague-DawleyUltrasonographyUltrasonography, Doppler

Identifiers

PMID41266333
PMCPMC12635210

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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.