Evidence map›Paper›PMID 41566991›Full record

ArticleUltrasonography (Seoul, Korea)2026

Diagnostic performance of ultrasound-derived fat fraction for assessing steatotic liver disease with histopathology as the reference.

Yunlin Huang, Chao Sun, Xinliang Xu, Ying Wang, Li Wei, Jiaying Cao, Yijie Qiu, Juan Cheng, Shiwen Wang, Rui Cheng and 3 more

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. 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

13 authors.

Yunlin HuangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chao SunCenter for Fatty Liver Disease, Department of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, Shanghai, China.
Xinliang XuDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying WangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li WeiDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiaying CaoDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yijie QiuDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Juan ChengDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shiwen WangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rui ChengDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ming WangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jian-Gao FanCenter for Fatty Liver Disease, Department of Gastroenterology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Lab of Pediatric Gastroenterology and Nutrition, Shanghai, China.
Yi DongDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

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

purposeThis study was performed to evaluate the diagnostic performance of ultrasound-derived fat fraction (UDFF) for detecting hepatic steatosis in patients with steatotic liver disease (SLD), using liver biopsy and histopathology as the gold standard.

methodsIn this prospective study, patients referred for evaluation of suspected SLD were enrolled. All patients underwent UDFF and controlled attenuation parameter (CAP) measurements. Histopathological findings were assessed using the steatosis-activity-fibrosis scoring system as the gold standard. Pearson or Spearman correlation analyses and multivariate linear regression were performed. Areas under the receiver operating characteristic curves (AUCs) were utilized to assess the diagnostic performance of UDFF and CAP in identifying hepatic steatosis. The DeLong test was used to compare AUCs.

resultsFrom February 2023 to May 2025, 66 patients were included. The median body mass index was 24 kg/m2. UDFF was positively correlated with hepatic steatosis grade (r=0.66). Using UDFF thresholds of 9.5%, 14.5%, and 16.3% (determined by the Youden index), the AUCs for detecting steatosis grades ≥S1, ≥S2, and S3 were 0.82, 0.90, and 0.99, respectively. UDFF exhibited a significantly higher AUC than CAP for detecting steatosis grade S3 (P=0.037). UDFF was correlated with hepatic steatosis grade, activity grade, CAP, aspartate aminotransferase level, and albumin level (all P<0.05).

conclusionUDFF demonstrated good diagnostic performance for assessing hepatic steatosis, using histopathology as the reference. UDFF may serve as a quantitative imaging approach to measure liver fat content in patients with SLD.

Indexed as

Controlled attenuation parameterLiver biopsyNoninvasiveQuantificationSteatotic liver diseaseUltrasound-derived fat fraction

Identifiers

PMID41566991
PMCPMC12853262

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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.