Evidence map›Paper›PMID 39470421›Full record

ArticleRadiology2024

Intersystem and Interoperator Agreement of US Attenuation Coefficient for Quantifying Liver Steatosis.

Giovanna Ferraioli, Davide Roccarina, Richard G Barr

Abstract read
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In one paragraph

Article in Radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Imaging Evaluation for Steatotic Liver Disease.Korean journal of radiology · 2026
    Review
  9. Article
  10. Review
  11. Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Giovanna FerraioliFrom the Department of Clinical-Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy (G.F.); Division of Internal Medicine and Hepatology, Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (D.R.); Sherlock Liver Unit and UCL Institute for Liver and Digestive Health, Royal Free Hospital, London, England (D.R.); Department of Radiology, Northeast Ohio Medical University, Rootstown, Ohio (R.G.B.); and Southwoods Imaging, 7623 Market St, Youngstown, OH 44512 (R.G.B.).ORCID 0000-0002-6344-697X
Davide RoccarinaFrom the Department of Clinical-Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy (G.F.); Division of Internal Medicine and Hepatology, Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (D.R.); Sherlock Liver Unit and UCL Institute for Liver and Digestive Health, Royal Free Hospital, London, England (D.R.); Department of Radiology, Northeast Ohio Medical University, Rootstown, Ohio (R.G.B.); and Southwoods Imaging, 7623 Market St, Youngstown, OH 44512 (R.G.B.).ORCID 0000-0002-1224-5502
Richard G BarrFrom the Department of Clinical-Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy (G.F.); Division of Internal Medicine and Hepatology, Azienda Ospedaliero Universitaria Careggi, Firenze, Italy (D.R.); Sherlock Liver Unit and UCL Institute for Liver and Digestive Health, Royal Free Hospital, London, England (D.R.); Department of Radiology, Northeast Ohio Medical University, Rootstown, Ohio (R.G.B.); and Southwoods Imaging, 7623 Market St, Youngstown, OH 44512 (R.G.B.).ORCID 0000-0001-8021-0072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The extent of liver steatosis can be assessed using US attenuation coefficient (AC) algorithms currently implemented in several US systems. However, little is known about intersystem and interoperator variability in measurements. Purpose To assess intersystem and interoperator agreement in US AC measurements for fat quantification in individuals with varying degrees of liver steatosis and to assess the correlation of each manufacturer's AC algorithm results with MRI proton density fat fraction (PDFF). Materials and Methods This prospective study was conducted at Southwoods Imaging, Youngstown, Ohio, September 30-October 1, 2023. Two operators independently obtained AC measurements using eight US systems equipped with an AC algorithm from different manufacturers. On the same day, MRI PDFF measurement was performed by a different operator. Correlation between US AC and MRI PDFF was assessed using a mixed-effects model. Agreement between systems and operators was evaluated using the intraclass correlation coefficient (ICC). Results Twenty-six individuals (mean age, 55.4 years ± 10.7 [SD]; 16 female participants) were evaluated. The correlation of US AC with MRI PDFF was high for five AC algorithms (

Indexed as

AlgorithmsFatty LiverMagnetic Resonance ImagingAdultAgedFemaleHumansLiverMaleMiddle AgedObserver VariationProspective StudiesReproducibility of ResultsUltrasonography

Identifiers

PMID39470421

What OpenQuestion 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 OpenQuestion graph.