Evidence map›Paper›PMID 42687687›Full record

ArticleUltrasonography (Seoul, Korea)2026

Quantitative liver ultrasound: current status and challenges.

Yunlin Huang, Yi Yu, Ying Wang, Yijie Qiu, Rui Cheng, Li Wei, Yi Dong

Abstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 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.

Yunlin HuangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yi YuDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Ying WangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yijie QiuDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Rui ChengDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Li WeiDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yi DongDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.

Funding

National Natural Science Foundation of China 82071942Sino-German Mobility Program of NSFC and DFG M-0504
6 · The paper itself

Abstract

Ultrasound is the most widely used imaging modality for liver evaluation because it is accessible, portable, affordable, and repeatable. Quantitative liver ultrasound should therefore be understood not as a single technology, but as a set of biomarker strategies at different stages of development. Ultrasound elastography is the most mature component of this field and has been incorporated into noninvasive pathways for fibrosis assessment. Ultrasound-based liver fat quantification is also advancing rapidly through attenuation, backscatter, and radiofrequency-based techniques. A newer area of investigation involves the evaluation of viscoelasticity and inflammatory activity using shear-wave dispersion and related biomarkers, particularly in metabolic dysfunction-associated steatotic liver disease. The future value of quantitative liver ultrasound will depend on integrating multiple parameters to support clinical triage, monitoring, and, increasingly, treatment decision-making.

Indexed as

Attenuation coefficientBackscatter coefficientElastographyMetabolic dysfunction-associated steatotic liver diseaseQuantitative ultrasoundShear-wave dispersion

Identifiers

PMID42687687
PMCPMC13624578

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.