Evidence map›Paper›PMID 40710616›Full record

ArticleJournal of imaging2025

Depth-Dependent Variability in Ultrasound Attenuation Imaging for Hepatic Steatosis: A Pilot Study of ATI and HRI in Healthy Volunteers.

Alexander Martin, Oliver Hurni, Catherine Paverd, Olivia Hänni, Lisa Ruby, Thomas Frauenfelder, Florian A Huber

Abstract read
In one paragraph

Article in Journal of imaging, 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. Review
  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

7 authors.

Alexander MartinInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-5988-9911
Oliver HurniInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland.
Catherine PaverdInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-7288-877X
Olivia HänniInstitute of Anesthesiology and Perioperative Medicine, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0009-0003-6317-9087
Lisa RubyInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland.
Thomas FrauenfelderInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-3295-6619
Florian A HuberInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0001-6317-4815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound attenuation imaging (ATI) is a non-invasive method for quantifying hepatic steatosis, offering advantages over the hepatorenal index (HRI). However, its reliability can be influenced by factors such as measurement depth, ROI size, and subcutaneous fat. This paper examines the impact of these confounders on ATI measurements and discusses diagnostic considerations. In this study, 33 healthy adults underwent liver ultrasound with ATI and HRI protocols. ATI measurements were taken at depths of 2-5 cm below the liver capsule using small and large ROIs. Two operators performed the measurements, and inter-operator variability was assessed. Subcutaneous fat thickness was measured to evaluate its influence on attenuation values. The ATI measurements showed a consistent decrease in attenuation coefficient values with increasing depth, approximately 0.05 dB/cm/MHz. Larger ROI sizes increased measurement variability due to greater anatomical heterogeneity. HRI values correlated weakly with ATI and were influenced by operator technique and subcutaneous fat, the latter accounting for roughly 2.5% of variability. ATI provides a quantitative assessment of hepatic steatosis compared to HRI, although its accuracy can vary depending on the depth and ROI selection. Standardised imaging protocols and AI tools may improve reproducibility and clinical utility, supporting advancements in ultrasound-based liver diagnostics for better patient care.

Indexed as

hepatorenal indexliver fat quantificationMASLDsteatosisultrasoundultrasound attenuation imaging

Identifiers

PMID40710616
PMCPMC12294838

What Socratic holds

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Registered trials

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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 Socratic graph.