Evidence map›Paper›PMID 42045510›Full record

ArticleEuropean radiology2026

Diagnostic performance of ultrasound-derived fat fraction for grading hepatic steatosis in patients with chronic liver diseases: a multicenter study.

Jiahao Han, Lixin Yang, Licheng Chu, Kexin Lou, Qun Zhang, Pingping Wang, Huiming Shen, Jia Li, Zuowei Bao

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jiahao Han *Department of Ultrasound, Zhongda Hospital Southeast University, Nanjing, China.
Lixin Yang *Department of Ultrasound, The Second Hospital of Nanjing, Nanjing, China.
Licheng Chu *Department of Ultrasound, Changzhou Third People's Hospital, Changzhou, China.
Kexin LouDepartment of Ultrasound, Xuzhou Central Hospital, Xuzhou, China.
Qun ZhangDepartment of Infectious Disease, Zhongda Hospital Southeast University, Nanjing, China.
Pingping WangDepartment of Ultrasound, Zhongda Hospital Southeast University, Nanjing, China.
Huiming ShenDepartment of Ultrasound, Zhongda Hospital Southeast University, Nanjing, China.
Jia LiDepartment of Ultrasound, Zhongda Hospital Southeast University, Nanjing, China. 13951609892@163.com.
Zuowei BaoDepartment of Ultrasound, Changzhou Third People's Hospital, Changzhou, China. 676463158@qq.com.ORCID http://orcid.org/0009-0004-5369-8737

Funding

SEU Innovation Capability Enhancement Plan for Doctoral Students CXJH_SEU 25232
6 · The paper itself

Abstract

objectivesTo investigate the diagnostic performance of ultrasound-derived fat fraction (UDFF) using the DAX probe for evaluating hepatic steatosis in chronic liver disease (CLD) patients with liver biopsy. Possible influencing factors such as etiology, stage of necroinflammation, fibrosis, and anthropometric indices were also evaluated. MATERIALS AND

methodsThis prospective multicenter study enrolled CLD patients between October 2024 and June 2025. The diagnostic performance of UDFF was evaluated by the area under the receiver-operating characteristic curve (AUC) with liver biopsy as the reference standard. Subgroup analysis was performed in different etiologies, stages of necroinflammation, fibrosis, and anthropometric indices.

resultsAmong the total of 255 patients (mean age, 51.27 years ± 11.24; 148 men), 146 (57.25%) had no steatosis (S0). The AUC of UDFF for detecting hepatic steatosis ≥ S1, ≥ S2, and = S3 were 0.914 (95% confidence interval (CI): 0.873-0.946), 0.950 (95% CI: 0.916-0.974), and 0.916 (95% CI: 0.875-0.947), respectively. The optimal cutoff values were: 7% for ≥ S1 (109, 42.75%), 11% for ≥ S2 (79, 30.98%), and 18% for = S3 (39, 15.30%). UDFF also demonstrated AUC > 0.9 for detecting hepatic steatosis ≥ S1 in following subgroups: (1) with necroinflammation (n = 164); (2) with advanced fibrosis (n = 61); (3) with skin-to-capsule distance ≥ 1.9 cm (n = 129); (4) with intercostal distance ≤ 2.5 cm (n = 162); (5) excluding isolated metabolic dysfunction-associated steatotic liver disease (n = 178).

conclusionUDFF measured with the DAX probe excellently detected and graded hepatic steatosis in CLD patients regardless of etiology, stage of necroinflammation, fibrosis, or anthropometric indices. KEY POINTS: Question Can UDFF reliably grade hepatic steatosis in CLD patients, regardless of etiology, necroinflammation, or fibrosis? Findings In this mixed-etiology population of 255 CLD patients, UDFF demonstrated high diagnostic performance for grading steatosis, consistent across diverse etiologies, necroinflammation, and fibrosis stages. Clinical relevance UDFF provides a reliable alternative to liver biopsy for quantifying hepatic steatosis in CLD, enabling accurate diagnosis and timely monitoring without invasive procedures.

Indexed as

Fatty LiverLiver DiseasesAdultAgedBiopsyChronic DiseaseFemaleHumansLiverMaleMiddle AgedProspective StudiesUltrasonographyAnthropometryDiagnostic imagingFatty liverLiver diseasesUltrasonography

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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.