Evidence map›Paper›PMID 41838112›Full record

ArticleJournal of gastroenterology2026

Steatosis index: a novel multiparametric ultrasound approach for accurate liver steatosis quantification and grading.

Yuichi Yoshida, Takashi Kumada, Masashi Hirooka, Sadanobu Ogawa, Masahiro Yamahira, Tatsuya Gotoh, Yoshihiro Kamada, Yoshio Sumida, Masahito Shimizu, Yoichi Hiasa and 3 more

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Article in Journal of gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yuichi YoshidaDepartment of Gastroenterology and Hepatology, Suita Municipal Hospital, 5-7, Kishibe Shimmachi, Suita, Osaka, 564-8567, Japan. yoshida0759@mhp.suita.osaka.jp.ORCID 0000-0002-7025-7675
Takashi KumadaGifu Kyoritsu University, Ogaki, Gifu, Japan.ORCID 0000-0003-2211-495X
Masashi HirookaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.ORCID 0000-0001-5634-5313
Sadanobu OgawaDepartment of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Gifu, Japan.ORCID 0000-0002-2916-5875
Masahiro YamahiraDepartment of Clinical Laboratory Medicine, Suita Municipal Hospital, Suita, Osaka, Japan.ORCID 0009-0005-6968-5102
Tatsuya GotohDepartment of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Gifu, Japan.ORCID 0000-0002-8097-0757
Yoshihiro KamadaDepartment of Advanced Metabolic Hepatology, Graduate School of Medicine, The University of Osaka, Suita, Osaka, Japan.ORCID 0000-0001-5485-902X
Yoshio SumidaGraduate School of Healthcare Management, International University of Healthcare and Welfare, Tokyo, Japan.ORCID 0000-0002-4342-1361
Masahito ShimizuDepartment of Gastroenterology/Internal Medicine, Graduate School of Medicine, Gifu University, Gifu, Japan.ORCID 0000-0002-1151-2058
Yoichi HiasaDepartment of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, Japan.ORCID 0000-0003-4117-339X
Hidenori ToyodaDepartment of Gastroenterology, Ogaki Municipal Hospital, Ogaki, Gifu, Japan.ORCID 0000-0002-1652-6168
Richard Gary BarrDepartment of Radiology, Northeast Ohio Medical University, Rootstown, OH, USA.ORCID 0000-0001-8021-0072
Giovanna FerraioliDepartment of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Campus Della Salute, Presso Policlinico San Matteo, Pavia, Italy.ORCID 0000-0002-6344-697X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsAccurate quantification of liver steatosis is critical for diagnosing steatotic liver disease. We aimed to evaluate a newly developed Steatosis Index (SI), which integrates multiple quantitative ultrasound (US) parameters, for assessing liver steatosis in patients with chronic liver disease (CLD).

methodsWe retrospectively enrolled 568 patients with CLD who underwent both US attenuation coefficient (iATT) and MRI-proton density fat fraction (PDFF). With MRI-PDFF as a reference standard, we examined whether SI, developed by integrating backscatter coefficient and signal texture parameters into iATT, improves the accuracy of liver steatosis quantification and grading.

resultsSI demonstrated a stronger correlation (Pearson's r = 0.85 vs. 0.78, p < 0.001) and better concordance (Lin's concordance correlation coefficient = 0.84 vs. 0.75, p < 0.001), as well as higher area under the receiver operating characteristic curve for differentiating each steatosis grade: 0.94 vs. 0.92 for grade ≥ 1, 0.95 vs. 0.90 for grade ≥ 2, and 0.93 vs. 0.88 for grade 3, all p < 0.001), compared to iATT. It also showed significant improvement in reclassification and discrimination metrics, with internal validation using bootstrap resampling confirming the reliability of these findings.

conclusionsSI provided excellent diagnostic performance in quantifying and grading liver steatosis and may serve as a valuable tool for monitoring it in patients with CLD. Trial Registration UMIN Clinical Trials Registry, Number: UMIN000047411.

Indexed as

Fatty LiverAdultAgedChronic DiseaseFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedReproducibility of ResultsRetrospective StudiesROC CurveSeverity of Illness IndexUltrasonographyiATTMRI-PDFFSteatosis indexSteatotic liver diseaseUltrasound

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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.