Evidence map›Paper›PMID 40346257›Full record

SynthesisEuropean radiology2025

Ultrasound-derived fat fraction for diagnosing hepatic steatosis: a systematic review and meta-analysis.

Sarah Verdan, Giovanni B Torri, Vinícius Neves Marcos, Maria Helena Silva Moreira, Maria Luiza R Defante, Marília da Cruz Fagundes, Emanuela Mendes Junqueira de Barros, Adriano B Dias, Luyao Shen, Stephan Altmayer

Abstract readSystematic ReviewMeta-Analysis
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In one paragraph

Synthesis in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Sarah VerdanDepartment of Radiology and Diagnostic Imaging, University Hospital of Juiz de Fora - UFJF, Juiz de Fora, Brazil. contatosarahverdan@gmail.com.ORCID http://orcid.org/0009-0006-2012-5793
Giovanni B TorriDepartment of Radiology and Diagnostic Imaging, Hospital Universitário de Santa Maria, Universidade Federal de Santa Maria, Santa Maria, Brazil.
Vinícius Neves MarcosDepartment of Radiology and Diagnostic Imaging, University Hospital of Juiz de Fora - UFJF, Juiz de Fora, Brazil.
Maria Helena Silva MoreiraDepartment of Radiology and Diagnostic Imaging, University Hospital of Juiz de Fora - UFJF, Juiz de Fora, Brazil.
Maria Luiza R DefanteRedentor University Center, Itaperuna, Rio de Janeiro, Brazil.
Marília da Cruz FagundesImaging Diagnostic Center, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
Emanuela Mendes Junqueira de BarrosDepartment of Radiology, Hospital Sírio Libanês, São Paulo, Brazil.
Adriano B DiasUniversity Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network-Sinai Health System-Women's College Hospital, University of Toronto, Toronto, ON, Canada.
Luyao ShenDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Stephan AltmayerDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo perform a systematic review and meta-analysis to evaluate the diagnostic performance of Ultrasound-Derived Fat Fraction (UDFF) in detecting hepatic steatosis using Magnetic Resonance Imaging-Proton Density Fat Fraction (MRI-PDFF) as the reference standard. MATERIALS AND

methodsRelevant databases were searched through November 2024. Studies that evaluated the UDFF to detect hepatic steatosis using MRI-PDFF as the reference standard met the inclusion criteria. Our primary outcome was the sensitivity and specificity of UDFF compared to MRI-PDFF in distinguishing steatosis from non-steatosis. Analyses were performed using a bivariate random-effects approach, and heterogeneity was considered substantial if I

resultsNine studies comprising 1150 patients (mean age range, 14-62 years; 51.2% women) were included. Eight studies were performed using the same vendor platform. The pooled sensitivity of UDFF for detecting hepatic steatosis was 90.4% (95% CI: 84.0%, 94.4%), and the pooled specificity was 83.8% (95% CI: 75.1%, 89.8%). The AUC for the summary receiver-operating characteristic curve was 0.93 (95% CI: 0.83, 0.95). Heterogeneity among the studies was low (I² = 22.2%).

conclusionUDFF demonstrates high sensitivity and specificity for detecting hepatic steatosis, supporting its value as a noninvasive tool for screening. KEY POINTS: Question Small individual studies suggest that US-Derived Fat Fraction (UDFF) may effectively detect hepatic steatosis compared to MRI, but no meta-analysis has been performed. Findings In nine studies including 1150 patients, UDFF demonstrated high pooled sensitivity (90.4%) and specificity (83.8%) relative to MRI with low between-study heterogeneity. Clinical relevance UDFF demonstrates high diagnostic accuracy compared with MRI, supporting its use as a noninvasive tool with potentially lower cost and wider availability for large-scale screening of hepatic steatosis.

Indexed as

Adipose TissueFatty LiverHumansMagnetic Resonance ImagingSensitivity and SpecificityUltrasonographyHepatic steatosisMagnetic resonance imagingMASLDNonalcoholic fatty liver disease (NAFLD)Ultrasonography

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Registered trials

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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.