Evidence map›Paper›PMID 42359076›Full record

ArticleFrontiers in medicine2026

Comparing ultrasound-derived fat fraction and CT for diagnosing hepatic steatosis: an MRI-PDFF reference study.

Huizhen Yu, Yi Li, Weiwen Cai, Yuli Liu, Ying Liu, Hong Wen, Guo Li, Hong Zhou, Jin Gao, Yang Zhou

Abstract read
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Article in Frontiers in medicine, 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Huizhen Yu *Department of Ultrasound, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Yi Li *Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Weiwen CaiDepartment of Ultrasound, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Yuli LiuDepartment of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Ying LiuDepartment of Ultrasound, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Hong WenDepartment of Ultrasound, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Guo LiDepartment of Ultrasound, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Hong ZhouDepartment of Ultrasound, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Jin GaoDepartment of Radiology, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.
Yang ZhouDepartment of Ultrasound, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study directly compares the diagnostic performance of two routinely available, non-invasive techniques-ultrasound-derived fat fraction (UDFF) and non-contrast computed tomography (NCCT)-for screening and grading hepatic steatosis (HS). In addition, it exploratorily assesses the utility of liver stiffness measurement (LSM) for quantifying liver fat content. Methods: In this prospective single-center study, 78 patients with chronic liver disease (CLD) were recruited and underwent NCCT, ultrasound [UDFF and Automatic Point Shear Wave Elastography (Auto-pSWE)], and magnetic resonance imaging-proton density fat fraction (MRI-PDFF) within 1 week. The same cohort was analyzed using two different MRI-PDFF threshold criteria: the primary set and the alternative set. In the primary set, Spearman's correlation coefficients assessed relationships among UDFF, CT liver-to-spleen attenuation ratio [CT(L/S)], LSM, and MRI-PDFF. The diagnostic performance of UDFF and CT(L/S) for grading HS was evaluated using ROC curves with bootstrap AUC comparisons. Agreement and reliability were assessed using ICC and kappa statistics, and influencing factors were examined by logistic regression. In the alternative set, the diagnostic performance of UDFF and CT(L/S) for grading steatosis was similarly evaluated using ROC curves with bootstrap AUC comparisons. Results: After excluding three patients, 75 were included in the final analysis. In the primary set, for HS ≥ S1, UDFF (AUC = 0.926; cutoff 8.5%) outperformed CT(L/S) (AUC = 0.826; cutoff 0.95; Conclusion: UDFF outperforms CT(L/S) in steatosis grading and reliability but is limited to the Siemens DAX probe, whereas CT(L/S) is equipment-independent but less reliable.

Indexed as

chronic liver diseaseCT liver-to-spleen ratiohepatic steatosisMRI-PDFFUDFF

Identifiers

PMID42359076
PMCPMC13290692

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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.