Evidence map›Paper›PMID 40531385›Full record

ArticleClinical and experimental medicine2025

The application performance of MRI-PDFF detection values of different hepatic lobes in diagnosing liver steatosis.

Fengjie Qiao, Yan Xue, Chen Zou, Kun Liu, Jie Yuan, Longshan Ji, Lingying Huang, Man Li, Yueqiu Gao

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2025. 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
–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

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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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Fengjie Qiao *Institute of Cellular Immunity Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Yan Xue *Institute of Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, 201203, China.
Chen ZouInstitute of Cellular Immunity Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Kun LiuDepartment of Pathology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Jie YuanDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Longshan JiInstitute of Cellular Immunity Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Lingying HuangDepartment of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. huanglingying@shutcm.edu.cn.
Man LiInstitute of Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, 201203, China. liman121000@shutcm.edu.cn.
Yueqiu GaoInstitute of Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, 201203, China. gaoyueqiu@shutcm.edu.cn.ORCID http://orcid.org/0000-0001-7276-9810

Funding

National Administration of Traditional Chinese Medicine ZYYZDXK-2023060National Natural Science Foundation of China 82204801Science and Technology Development Project of Shanghai Institute of Traditional Chinese Medicine 24YJS02Shanghai Key Clinical Specialty Construction Project shslczdzk01201Shanghai Municipal Health Commission TCM Research Projects 2024PT003
6 · The paper itself

Abstract

Magnetic resonance imaging derived proton density fat fraction (MRI-PDFF) is becoming increasingly important for assessing liver steatosis, which is traditionally diagnosed via liver biopsy. In the present study, we aimed to evaluate the efficacy of MRI-PDFF in detecting liver steatosis by comparing its values from various liver lobes-the right posterior hepatic lobe (RPHL), right anterior hepatic lobe (RAHL), left inner hepatic lobe (LIHL), left outer hepatic lobe (LOHL), the mean value of four hepatic lobes (M-PDFF), and the highest value of four hepatic lobes (H-PDFF)-against biopsy results. The findings indicated that MRI-PDFF exhibited strong performances in identifying liver steatosis in 125 patients, with area under the receiver operating characteristic (AUROC) values of 0.870 for RPHL, 0.875 for RAHL, 0.881 for LIHL, 0.871 for LOHL, 0.881 for M-PDFF, and 0.878 for H-PDFF. Furthermore, MRI-PDFF demonstrated significant advantages in detecting moderate-to-severe steatosis, achieving AUROC values of 0.897 for RPHL, 0.911 for RAHL, 0.905 for LIHL, 0.898 for LOHL, 0.907 for M-PDFF, and 0.904 for H-PDFF. Overall, MRI-PDFF is a highly accurate and noninvasive tool for diagnosing liver steatosis and determining its severity, making it valuable for clinical assessment and treatment.

Indexed as

Fatty LiverLiverMagnetic Resonance ImagingAdultAgedBiopsyFemaleHumansMaleMiddle AgedROC CurveHepatic lobesLiver biopsyLiver steatosisMAFLDMRI-PDFF

Identifiers

PMID40531385
PMCPMC12176965

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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.