Evidence mapPaperPMID 39048719Full record

ReviewAbdominal radiology (New York)2025

Application and research progress of magnetic resonance proton density fat fraction in metabolic dysfunction-associated steatotic liver disease: a comprehensive review.

Hongyan Qi, Shanshan Jiang, Jiang Nan, Hang Guo, Cai Cheng, Xin He, Hongyang Jin, Rongfan Zhang, Junqiang Lei

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 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

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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Hongyan QiThe First Clinical Medical College of Lanzhou University, No.1 Donggang West Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China.
Shanshan JiangPhilips Healthcare, Xi'an, Shaanxi, China.
Jiang NanDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Hang GuoDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Cai ChengDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Xin HeDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Hongyang JinDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Rongfan ZhangDepartment of Radiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Junqiang LeiThe First Clinical Medical College of Lanzhou University, No.1 Donggang West Road, Chengguan District, Lanzhou City, 730000, Gansu Province, China. Leijq2011@126.com.ORCID 0000-0002-7632-1922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), formerly known as Non-Alcoholic Fatty Liver Disease (NAFLD), is a chronic liver disorder associated with disturbances in lipid metabolism. The disease is prevalent worldwide, particularly closely linked with metabolic syndromes such as obesity and diabetes. Magnetic Resonance Proton Density Fat Fraction (MRI-PDFF), serving as a non-invasive and highly quantitative imaging assessment tool, holds promising applications in the diagnosis and research of MASLD. This paper aims to comprehensively review and summarize the applications and research progress of MRI-PDFF technology in MASLD, analyze its strengths and challenges, and anticipate its future developments in clinical practice.

Indexed as

AdiposityMagnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseHumansMagnetic resonance proton density fat fractionMetabolic dysfunction-associated steatotic liver diseaseNon-alcoholic fatty liver disease

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.