ArticleUltrasonography (Seoul, Korea)2021
Quantitative ultrasound radiofrequency data analysis for the assessment of hepatic steatosis using the controlled attenuation parameter as a reference standard.
Article in Ultrasonography (Seoul, Korea), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 37 citations in OpenAlex.
- Quantitative liver ultrasound: current status and challenges.Ultrasonography (Seoul, Korea) · 2026Article
- Ultrasound-based fat fraction for detection of hepatic steatosis and quantification of liver fat content using liver biopsy as the reference standard.European radiology · 2026Article
- AI-powered ultrasound radiofrequency analysis for non-invasive pediatric liver fat quantification.Scientific reports · 2026Article
- Ultrasound Attenuation Coefficient as a Biomarker of Hepatic Steatosis: State of the Art and Software Evaluation.Journal of clinical medicine · 2026Review
- Application of radiofrequency features in the diagnosis of severity of fatty liver disease.European journal of medical research · 2025Article
- Association of ultra-processed foods consumption with increased liver steatosis in U.S. adults.Frontiers in nutrition · 2025Article
- Diagnostic performance of quantitative ultrasonography for hepatic steatosis in a health screening program: a prospective single-center study.Ultrasonography (Seoul, Korea) · 2024Article
- Article
- Reliability and stability of ultrasound-guided attenuation parameter in evaluating hepatic steatosis.Journal of ultrasound · 2024Article
- A prospective comparison of three ultrasound-based techniques in quantitative diagnosis of hepatic steatosis in NAFLD.Abdominal radiology (New York) · 2024Article
- Ultrasound tissue scatterer distribution imaging: An adjunctive diagnostic tool for shear wave elastography in characterizing focal liver lesions.Ultrasonics sonochemistry · 2023Article
- The Calculation and Evaluation of an Ultrasound-Estimated Fat Fraction in Non-Alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease.Diagnostics (Basel, Switzerland) · 2023Article
- Development and validation of multivariable quantitative ultrasound for diagnosing hepatic steatosis.Scientific reports · 2023Article
- Ultrasound-Based Diagnostic Methods: Possible Use in Fatty Liver Disease Area.Diagnostics (Basel, Switzerland) · 2022Review
- Ultrasound biomicroscopy for the assessment of early-stage nonalcoholic fatty liver disease induced in rats by a high-fat diet.Ultrasonography (Seoul, Korea) · 2022Article
- Ultrasound Methods for the Assessment of Liver Steatosis: A Critical Appraisal.Diagnostics (Basel, Switzerland) · 2022Review
- Quantitative Evaluation of Hepatic Steatosis Using Advanced Imaging Techniques: Focusing on New Quantitative Ultrasound Techniques.Korean journal of radiology · 2022Review
- Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists.Insights into imaging · 2021Review
- Quantitative Ultrasound Radiofrequency Data Analysis for the Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease Using Magnetic Resonance Imaging Proton Density Fat Fraction as the Reference Standard.Korean journal of radiology · 2021Article
- Noninvasive Assessment of Hepatitis C Virus Infected Patients Using Vibration-Controlled Transient Elastography.Journal of clinical medicine · 2021Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
purposeThis study was aimed to investigate the value of quantitative ultrasound (US) parameters from radiofrequency (RF) data analysis for assessing hepatic steatosis, using controlled attenuation parameter (CAP)-based steatosis grades as the reference standard.
methodsWe analyzed 243 participants with both B-mode liver US with RF data acquisition and CAP measurements. On B-mode US images, hepatic steatosis was visually scored (0/1/2/3, none/mild/moderate/severe), and the hepatorenal index (HRI) was calculated. From the RF data analysis, the tissue scatter-distribution imaging parameter (TSI-p) and tissue attenuation imaging parameter (TAI-p) of the liver parenchyma were measured. US parameters were correlated with CAP-based steatosis grades (S0/1/2/3, none/mild/moderate/severe) and their diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Multivariate linear regression analysis was performed to identify determinants of TSI-p and TAI-p.
resultsParticipants were classified as having S0 (n=152), S1 (n=54), S2 (n=14), and S3 (n=23) on CAP measurements. TSI-p and TAI-p were significantly correlated with steatosis grades (ρ =0.593 and ρ=-0.617, P<0.001 for both). For predicting ≥S1, ≥S2, and S3, the areas under the ROC curves (AUCs) of TSI-p were 0.827/0.914/0.917; TAI-p, 0.844/0.914/0.909; visual scores, 0.659/0.778/0.794; and HRI, 0.629/0.751/0.759, respectively. TSI-p and TAI-p had significantly higher AUCs than did visual scores or HRI for ≥S1 or ≥S2 (P≤0.003). In the multivariate analysis, the transient elastography-based fibrosis grade (P=0.034) and steatosis grade (P<0.001) were independent determinants of TSI-p, while steatosis grade (P<0.001) was an independent determinant of TAI-p.
conclusionTSI-p and TAI-p derived from US RF data may be useful for detecting hepatic steatosis and assessing its severity.
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