Evidence map›Paper›PMID 40911063›Full record

ArticleEuropean radiology2026

Optimization of measurements with an ultrasound attenuation coefficient algorithm for quantifying liver fat.

Giovanna Ferraioli, Davide Roccarina, Takashi Kumada, Sadanobu Ogawa, Yuichi Yoshida, Masashi Hirooka, Richard G Barr

Abstract readMulticenter Study
In one paragraph

Article in European radiology, 2026. 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
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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.

Giovanna Ferraioli *Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Campus della Salute, Pavia, Italy.
Davide Roccarina *SOD Medicina Interna ed Epatologia, Azienda Ospedaliero-Universitaria Careggi, Firenze, Italy.
Takashi KumadaDepartment of Nursing, Faculty of Nursing, Gifu Kyoritsu University, Ogaki, Japan.
Sadanobu OgawaDepartment of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Japan.
Yuichi YoshidaDepartment of Gastroenterology and Hepatology, Suita Municipal Hospital, Suita, Japan.
Masashi HirookaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan.
Richard G BarrDepartment of Radiology, Northeastern Ohio Medical University, Rootstown, OH, USA. rgbarr@zoominternet.net.ORCID http://orcid.org/0000-0001-8021-0072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMethods for measuring the ultrasound attenuation coefficient (AC) vary across different systems. Some have fixed regions of interest (ROI) while others have movable ROIs. Aims were to evaluate whether, using a system with a fixed ROI, correlation between AC and MRI proton density fat fraction (MRI-PDFF), and performance could be improved by (i) reducing fixed ROI length to 30 mm, changing starting point from the transducer, and (ii) using a movable ROI at different depths. MATERIALS AND

methodsIn this retrospective multicenter study, AC measurements were performed with the Arietta 850 system, and raw data were automatically stored. AC values were obtained using a standard commercial algorithm (ROI-setting1, 35-75 mm from transducer). Raw data were successively reprocessed externally using a fixed 45-75 mm ROI (ROI-setting2) and a movable 30 mm ROI positioned with the top at 20 mm (ROI-setting3) and 25 mm below the liver capsule (ROI-setting4). Spearman rho and area under the receiver operating characteristics curve (AUROC) were used to assess correlation with MRI-PDFF and performance, respectively, and the Delong test was used to compare AUROCs.

resultsSeven hundred fifty participants (median age: 65 [52, 73] years; 384 males) were included. Correlation of ROI-setting1 with MRI-PDFF was 0.75 (0.72, 0.78), reaching 0.80 (0.77, 0.82) with ROI-setting4. Overall, ROI-setting4 showed significantly the best performance across steatosis grades. AUROCs for S > 0 were 0.90 (0.87, 0.92) for ROI-setting1 and 0.92 (0.90, 0.94) with ROI-setting4 (p < 0.001). This latter performed significantly better than all other settings in participants with obesity and skin-to-liver distance > 25 mm (p < 0.05).

conclusionsA movable ROI improves both AC correlation with MRI-PDFF and performance. The highest improvement was with the ROI top 25 mm below the liver capsule. KEY POINTS: Question It remains uncertain whether utilizing an ROI at a fixed position from the transducer is optimal for ultrasound AC measurements. Findings The highest AC performance and correlation with MRI-PDFF were observed with a movable ROI positioned with the top at 25 mm under the liver capsule. Clinical relevance A movable ROI with consistent sub-capsular placement improves both correlation between AC and MRI-PDFF, as well as its performance, whereas in individuals with a skin-to-liver capsule distance > 25 mm, a fixed ROI position significantly decreases AC performance.

Indexed as

Adipose TissueAlgorithmsFatty LiverLiverAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesUltrasonographyAttenuation coefficientLiver steatosisMASLDMRI-PDFFPerformance studies

Identifiers

PMID40911063
PMCPMC12963258

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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.