Evidence map›Paper›PMID 42094982›Full record

ArticleFrontiers in medicine2026

Correlation analysis and diagnostic performance of CT/MRI fat quantification parameters in metabolic dysfunction-associated steatotic liver disease.

Wenwen Chen, Hua Chao, Tiechen Xiao, Luyao Qian, Jianfeng Zha, Ting Pan, Huijuan Rui, Jin Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wenwen ChenDepartment of Radiology, Changzhou Cancer Hospital, Changzhou, Jiangsu, China.
Hua ChaoDepartment of Radiology, Changzhou Cancer Hospital, Changzhou, Jiangsu, China.
Tiechen XiaoDepartment of Radiology, Changzhou Cancer Hospital, Changzhou, Jiangsu, China.
Luyao QianDepartment of Radiology, Changzhou Cancer Hospital, Changzhou, Jiangsu, China.
Jianfeng ZhaDepartment of Radiology, Changzhou Cancer Hospital, Changzhou, Jiangsu, China.
Ting PanDepartment of Radiology, Changzhou Cancer Hospital, Changzhou, Jiangsu, China.
Huijuan RuiDepartment of Radiology, Changzhou Cancer Hospital, Changzhou, Jiangsu, China.
Jin ZhangDepartment of Radiology, Changzhou Cancer Hospital, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Early quantitative diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD) is crucial for preventing disease progression. Fat analysis and calculation technique (FACT) MRI fat quantification has shown potential diagnostic value. This study aimed to compare the diagnostic performance of CT and MRI fat quantification techniques and to evaluate their correlation with clinical and biochemical markers in in patients with MASLD. Methods: A retrospective analysis was conducted in 240 MASLD patients and 89 controls from December 2021 to February 2025. Demographic and clinical data, serum markers of liver function, inflammation, and lipid metabolism, and CT/MRI fat quantitative parameters were compared between groups. Correlations between CT/MRI parameters and serum markers were analyzed. All 329 participants were randomly divided into a training cohort ( Results: MASLD patients showed higher levels of transaminases, glutamyl transpeptidase, interleukins, total cholesterol, and triglycerides (all Conclusion: Given the exploratory nature of the study and the lack of uniform gold standard validation, the diagnostic performance findings of FACT-derived fat parameters (FF and R2

Indexed as

CTdiagnostic performancefat quantificationmetabolic dysfunction–associated steatotic liver disease (MASLD)MRI

Identifiers

PMID42094982
PMCPMC13138928

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