Evidence map›Paper›PMID 39315751›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2025

Novel Quantitative Liver Steatosis Assessment Method With Ultrasound Harmonic Imaging.

Ping Gong, Jingke Zhang, Chengwu Huang, U-Wai Lok, Shanshan Tang, Hui Liu, Ryan DeRuiter, Kendra Petersen, Kate Knoll, Kathryn Robinson and 3 more

Abstract read
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Ping GongDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Jingke ZhangDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-1916-0541
Chengwu HuangDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
U-Wai LokDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-4972-8030
Shanshan TangDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Hui LiuDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-0207-8173
Ryan DeRuiterDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-2135-6607
Kendra PetersenDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Kate KnollDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Kathryn RobinsonDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Kymberly WattDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
Matthew CallstromDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Shigao ChenDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Funding

Hepatic Steatosis Quantification with UltrasoundR01DK127978 · NIDDK · MAYO CLINIC ROCHESTER · PI CHEN, SHIGAO · 2022 to 2025
$2.1M
Ultrasound Evaluation of Liver SteatosisR21DK121943 · NIDDK · MAYO CLINIC ROCHESTER · PI CHEN, SHIGAO · 2020 to 2021
$437k
NIDDK NIH HHS R01 DK127978NIDDK NIH HHS R21 DK121943NIH HHS R01DK127978NIH HHS R21DK121943
6 · The paper itself

Abstract

objectivesMetabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent liver disorder in Western countries, with approximately 20%-30% of the MASLD patients progressing to severe stages. There is an urgent need for noninvasive, cost-effective, widely accessible, and precise biomarkers to evaluate liver steatosis. This study aims to assess and compare the diagnostic performance of a novel reference frequency method-based ultrasound attenuation coefficient estimation (ACE) in both fundamental (RFM-ACE-FI) and harmonic (RFM-ACE-HI) imaging for detecting and grading liver steatosis.

methodsAn Institutional Review Board-approved prospective study was carried out between December 2018 and October 2022. A total number of 130 subjects were enrolled in the study. The correlation between RFM-ACE-HI values and magnetic resonance imaging proton density fat fraction (MRI-PDFF), as well as between RFM-ACE-FI values and MRI-PDFF were calculated. The diagnostic performance of RFM-ACE-FI and RFM-ACE-HI was evaluated using receiver operating characteristic (ROC) curve analysis, as compared to MRI-PDFF. The reproducibility of RFM-ACE-HI was assessed by interobserver agreement between two sonographers.

resultsA strong correlation was observed between RFM-ACE-HI and MRI-PDFF, with R = 0.88 (95% confidence interval [CI]: 0.83-0.92; P < .001), while the correlation between RFM-ACE-FI and MRI-PDFF was R = 0.65 (95% CI: 0.50-0.76; P < .001). The area under the ROC (AUROC) curve for RFM-ACE-HI in staging liver steatosis grades of S ≥ 1 and S ≥ 2 was 0.97 (95% CI: 0.91-0.99; P < .001) and 0.98 (95% CI: 0.93-1.00; P < .001), respectively, and 0.76 (95% CI: 0.65-0.85) and 0.80 (95% CI: 0.70-0.88) for RFM-ACE-FI, respectively. Great reproducibility was achieved for RFM-ACE-HI, with an interobserver agreement of R = 0.97 (95% CI: 0.94-0.99; P < .001).

conclusionsThe novel RFM-ACE-HI method offered high liver steatosis diagnostic accuracy and reproducibility, which has important clinical implications for early disease intervention and treatment evaluation.

Indexed as

Fatty LiverUltrasonographyAdultAgedFemaleHumansLiverMaleMiddle AgedProspective StudiesReproducibility of Resultsquantitative evaluation of liver steatosisultrasound attenuation coefficient estimationultrasound harmonic imaging

Identifiers

PMID39315751
PMCPMC11634646

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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.