Evidence map›Paper›PMID 29722568›Full record

ReviewThe British journal of radiology2018

Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging.

Yingzhen N Zhang, Kathryn J Fowler, Gavin Hamilton, Jennifer Y Cui, Ethan Z Sy, Michelle Balanay, Jonathan C Hooker, Nikolaus Szeverenyi, Claude B Sirlin

Registry-linked trialAbstract readReview
In one paragraph

Review in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04626492 (Clinical Study on the Value of Quantitative MRI Imaging in Diffuse Liver Diseases), which is not on this map. Cited by 149 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 2 pooled it
12.6field-weighted citation impact, top 1% of its field
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.

NCT04626492 unknown statusnot on this mapstarted 2020, after this paper: background citation

Clinical Study on the Value of Quantitative MRI Imaging in Diffuse Liver Diseases

Typeobservational_patient_registrySponsorFifth Affiliated Hospital, Sun Yat-Sen UniversityRan2020 to 2022Enrolled150ConditionsFibrosis and Cirrhosis of LiverArmsQuantitative MRI imaging
3 · Its place in the literature

Who cites it

149 citing papers in PubMed, 2 syntheses or guidelines pooled it, 293 citations in OpenAlex.

  1. Pooled it
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  7. Respiratory-induced liver motion prediction using ECG as surrogate signal.International journal of computer assisted radiology and surgery · 2026
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89 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Yingzhen N Zhang1 Department of Radiology, Liver Imaging Group, University of California San Diego , San Diego, CA , USA.
Kathryn J Fowler2 Department of Radiology, Washington University School of Medicine, Washington University , St. Louis, MO , USA.
Gavin Hamilton1 Department of Radiology, Liver Imaging Group, University of California San Diego , San Diego, CA , USA.
Jennifer Y Cui1 Department of Radiology, Liver Imaging Group, University of California San Diego , San Diego, CA , USA.
Ethan Z Sy1 Department of Radiology, Liver Imaging Group, University of California San Diego , San Diego, CA , USA.
Michelle Balanay1 Department of Radiology, Liver Imaging Group, University of California San Diego , San Diego, CA , USA.
Jonathan C Hooker1 Department of Radiology, Liver Imaging Group, University of California San Diego , San Diego, CA , USA.
Nikolaus Szeverenyi1 Department of Radiology, Liver Imaging Group, University of California San Diego , San Diego, CA , USA.
Claude B Sirlin1 Department of Radiology, Liver Imaging Group, University of California San Diego , San Diego, CA , USA.
University of California, San Diego · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic steatosis is a frequently encountered imaging finding that may indicate chronic liver disease, the most common of which is non-alcoholic fatty liver disease. Non-alcoholic fatty liver disease is implicated in the development of systemic diseases and its progressive phenotype, non-alcoholic steatohepatitis, leads to increased liver-specific morbidity and mortality. With the rising obesity epidemic and advent of novel therapeutics aimed at altering metabolism, there is a growing need to quantify and monitor liver steatosis. Imaging methods for assessing steatosis range from simple and qualitative to complex and highly accurate metrics. Ultrasound may be appropriate in some clinical instances as a screening modality to identify the presence of abnormal liver morphology. However, it lacks sufficient specificity and sensitivity to constitute a diagnostic modality for instigating and monitoring therapy. Newer ultrasound techniques such as quantitative ultrasound show promise in turning qualitative assessment of steatosis on conventional ultrasound into quantitative measurements. Conventional unenhanced CT is capable of detecting and quantifying moderate to severe steatosis but is inaccurate at diagnosing mild steatosis and involves the use of radiation. Newer CT techniques, like dual energy CT, show potential in expanding the role of CT in quantifying steatosis. MRI proton-density fat fraction is currently the most accurate and precise imaging biomarker to quantify liver steatosis. As such, proton-density fat fraction is the most appropriate noninvasive end point for steatosis reduction in clinical trials and therapy response assessment.

Indexed as

HumansLiverMagnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseTomography, X-Ray ComputedUltrasonography

Identifiers

PMID29722568
PMCPMC6223150
OpenAlexW2799523744

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.