Evidence map›Paper›PMID 40503477›Full record

ArticleWorld journal of radiology2025

Diagnostic accuracy of noninvasive steatosis biomarkers with magnetic resonance imaging proton density fat fraction as gold standard.

Jia-Liang Chen, Shao-Jie Duan, Sheng Xie, Shu-Kun Yao

Abstract read
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Article in World journal of 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jia-Liang ChenCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
Shao-Jie DuanGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Sheng XieDepartment of Radiology, China-Japan Friendship Hospital, Beijing 100029, China.
Shu-Kun YaoDepartment of Gastroenterology, China-Japan Friendship Hospital, Beijing 100029, China. yao_sk@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. The accuracy of noninvasive biomarkers for detecting hepatic steatosis is still limited.

aimTo assess the diagnostic performance of noninvasive steatosis biomarkers in diagnosing NAFLD using magnetic resonance imaging proton density fat fraction (MRI-PDFF) as the gold standard.

methodsA total of 131 suspected NAFLD patients (60% male, median age 36 years) undergoing MRI-PDFF were consecutively recruited from a tertiary hospital. Steatosis grades determined by MRI-PDFF were classified as none (< 5%), mild (5%-11%), moderate (11%-17%), and severe (≥ 17%). Six steatosis biomarkers were calculated according to clinical parameters and laboratory tests, including fatty liver index, hepatic steatosis index, ZJU index, Framingham steatosis index, triglycerides and glucose index, and visceral adiposity index. The accuracy of these biomarkers in detecting hepatic steatosis was evaluated using the area under the receiver operating characteristic curves (AUCs). The Youden index was used to determine the optimal cut-off for each biomarker. The linear trend analysis of each biomarker across the steatosis grades was conducted by Mantel-Haenszel

resultsSteatosis grades based on MRI-PDFF prevalence were: None 27%, mild 40%, moderate 15% and severe 18%. Six steatosis biomarkers showed a linear trend across the steatosis grades and a significant positive correlation with MRI-PDFF. The six steatosis biomarkers demonstrated AUCs near 0.90 (range: 0.857-0.912, all

conclusionThese noninvasive steatosis biomarkers accurately diagnosed NAFLD and correlated well with MRI-PDFF for detecting NAFLD, but they did not effectively detect moderate or severe steatosis.

Indexed as

Chinese populationDiagnosisMagnetic resonance imaging proton density fat fractionNonalcoholic fatty liver diseaseNoninvasive biomarker

Identifiers

PMID40503477
PMCPMC12149971

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