Evidence map›Paper›PMID 42284424›Full record

ArticleThe Journal of the Acoustical Society of America2026

Ultrasound structure function for quantitative assessment of steatotic liver disease based on total severity score.

Matthew A Wallig, Md Rizwanul Kabir, Aiguo Han, Yeonjoo Park, Michael P Andre, William D O'Brien

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Matthew A WalligDepartment of Pathobiology, University of Illinois Urbana-Champaign, Urbana, Illinois 61802, USA.ORCID 0000-0003-0782-3782
Md Rizwanul KabirDepartment of Biomedical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA.ORCID 0000-0002-2204-4683
Aiguo HanDepartment of Biomedical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA.ORCID 0000-0001-7606-9221
Yeonjoo ParkDepartment of Statistics and Data Science, University of Texas at San Antonio, San Antonio, Texas 78249, USA.ORCID 0000-0002-4373-7067
Michael P AndreDepartment of Radiology, School of Medicine, University of California San Diego, San Diego, California 92093, USA.ORCID 0000-0001-8744-4808
William D O'BrienDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA.ORCID 0000-0002-9298-7556

Funding

Tumor Detection and Classification using QUS Technology's Structure FunctionR01CA226528 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI O'BRIEN, WILLIAM D. · 2019 to 2024
$2.3M
NCI NIH HHS R01 CA226528
6 · The paper itself

Abstract

Quantitative ultrasound parameters offer effective tools to evaluate microstructural changes in liver tissue and noninvasively assess tissue health. We examined the relationship between steatotic liver disease severity, measured by the Total Severity Score (TSS), and the structure function (SF), a frequency-dependent ultrasound backscatter metric. TSS was calculated on a 0-14 scale from histological evaluation by a pathologist of fibrosis, inflammation, and steatosis in hematoxylin and eosin-stained liver slides. A total of 274 regions of interest (ROIs) were examined from histopathology liver specimens acquired from 49 human subjects. SF was calculated for every ROI over a spatial frequency range of 3-80 MHz using histology-determined cell nuclei positions. Results revealed a strong relationship between SF and TSS across all analyzed ROIs, and distinct frequency-dependent patterns emerged across TSS groups. Statistical analysis showed significant differences between TSS 0 and TSS 1-3 for the frequency range of 4.5 to 9.0 MHz, and between TSS 1-3 and TSS 4-6 for the frequency ranges of 3.0 to 9.0 MHz and 32.5 to 80.0 MHz. TSS groups 4-6 and 7-14 did not differ significantly, indicating a possible plateau in ultrasound response at later disease stages. These findings help lay the foundation for establishing SF as a potential ultrasonic biomarker for identifying and distinguishing steatotic liver disease stages in vivo.

Indexed as

Fatty LiverLiverAdultAgedFemaleHumansLiver CirrhosisMaleMiddle AgedPredictive Value of TestsSeverity of Illness IndexUltrasonography

Identifiers

PMID42284424
PMCPMC13435376

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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.