Evidence map›Paper›PMID 39774121›Full record

ReviewGut and liver2025

Advanced Imaging Techniques for Assessing Fat, Iron, and Fibrosis in Chronic Liver Disease.

Sabarish Narayanasamy, Manuela Franca, Ilkay S Idilman, Meng Yin, Sudhakar K Venkatesh

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Gut and liver, 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Sabarish NarayanasamyDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-6649-327X
Manuela FrancaDepartment of Radiology, Santo António University Hospital Centre, School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Porto, Portugal.ORCID 0000-0003-1068-8577
Ilkay S IdilmanDepartment of Radiology, Liver Imaging Team, Hacettepe University, Ankara, Turkiye.ORCID 0000-0002-1913-2404
Meng YinDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-6778-192X
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-7514-1030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging plays a critical role in the management of chronic liver disease (CLD) because it is a safe and painless method to assess liver health. The widely used imaging techniques include ultrasound, computed tomography and magnetic resonance imaging. These techniques allow the measurement of fat deposition, iron content, and fibrosis, replacing invasive liver biopsies in many cases. Early detection and treatment of fibrosis are crucial, as the disease can be reversed in its early stages. Imaging also aids in guiding treatment decisions and monitoring disease progression. In this review, we describe the most common imaging manifestations of liver disease and the current state-of-the-art imaging techniques for the evaluation of liver fat, iron, and fibrosis.

Indexed as

Adipose TissueFatty LiverIronLiver CirrhosisLiver DiseasesChronic DiseaseHumansLiverMagnetic Resonance ImagingTomography, X-Ray ComputedUltrasonographyIronChronic liver diseaseIron overloadLiver fibrosisSteatohepatitisSteatosis

Identifiers

PMID39774121
PMCPMC11736311

What OpenQuestion holds

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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 OpenQuestion graph.