Evidence map›Paper›PMID 40748388›Full record

ArticlePediatric radiology2025

Quantitative ultrasound-derived fat fraction for identifying pediatric patients with metabolic dysfunction-associated steatotic liver disease: a prospective study.

Yunlin Huang, Chao Sun, Juan Cheng, Ying Wang, Yijie Qiu, Shiwen Wang, Ming Wang, Li Wei, Rui Cheng, Jian-Gao Fan and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 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

11 authors.

Yunlin HuangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Chao SunDepartment of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, 1665 Kong Jiang Road, Shanghai, 200092, China.
Juan ChengDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Ying WangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Yijie QiuDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Shiwen WangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Ming WangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Li WeiDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Rui ChengDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China.
Jian-Gao FanDepartment of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, 1665 Kong Jiang Road, Shanghai, 200092, China. fanjiangao@xinhuamed.com.cn.
Yi DongDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai, 200092, China. drdaisydong@hotmail.com.

Funding

National Natural Science Foundation of China 82071942Noncommunicable Chronic Diseases-National Science and Technology Major Project of China 2023ZD0508700Sino-German Mobility Program of NSFC and DFG M-0504
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease is increasingly affecting younger populations. Ultrasound-derived fat fraction is a technique used in ultrasound to quantify liver fat content. The diagnostic performance of ultrasound-derived fat fraction in pediatric patients with metabolic dysfunction-associated steatotic liver disease is yet to be evaluated.

objectiveTo evaluate the diagnostic performance of ultrasound-derived fat fraction measurement in detecting and grading hepatic steatosis in pediatric patients with metabolic dysfunction-associated steatotic liver disease. MATERIALS AND

methodsIn this prospective study, pediatric patients diagnosed with metabolic dysfunction-associated steatotic liver disease were enrolled. Six acquisitions of ultrasound-derived fat fraction were obtained. Taking magnetic resonance imaging (MRI)-proton density fat fraction as a reference standard, the area under the receiver operating characteristic curve (AUC) was performed to evaluate the diagnostic performance of ultrasound-derived fat fraction. Youden index was used to determine the cutoff value of ultrasound-derived fat fraction. Correlation coefficient and Bland-Altman plot were performed.

resultsFrom April 2024 to March 2025, 32 patients (median age, 12 years; median body mass index, 29.7 kg/m

conclusionUltrasound-derived fat fraction demonstrates promising diagnostic performance for detecting and grading hepatic steatosis in pediatric patients with metabolic dysfunction-associated steatotic liver disease within this cohort.

Indexed as

Fatty LiverAdolescentChildChild, PreschoolFemaleHumansLiverMaleProspective StudiesUltrasonographyChildFatty liverMagnetic resonance imagingProspective study

Identifiers

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.