ArticleScientific reports2021
Multiparametric ultrasound imaging for the assessment of normal versus steatotic livers.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 51 citations in OpenAlex.
- Multiparametric ultrasound for non-invasive assessment of liver steatosis, fibrosis, and inflammation in metabolic dysfunction-associated steatotic liver disease.World journal of gastroenterology · 2025Trial
- Quantitative Multifrequency Ultrasound Imaging Using Narrowband Pulsing for Tissue Characterization.Investigative radiology · 2026Article
- Multiparametric Abdominal Ultrasound as a Source of Imaging Biomarkers in Predictive and Personalized Medicine: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Review
- Post-contrast CT liver attenuation alone is superior to the liver-spleen difference for identifying moderate hepatic steatosis.European radiology · 2024Article
- H-Scan Discrimination for Tumor Microenvironmental Heterogeneity in Melanoma.Ultrasound in medicine & biology · 2024Article
- Multiparametric ultrasound imaging for early-stage steatosis: Comparison with magnetic resonance imaging-based proton density fat fraction.Medical physics · 2024Article
- Dual-modal Photoacoustic and Ultrasound Imaging: from preclinical to clinical applications.Frontiers in photonics · 2024Article
- The Future Is Beyond Bright: The Evolving Role of Quantitative US for Fatty Liver Disease.Radiology · 2023Review
- Simultaneous imaging of ultrasonic relative backscatter and attenuation coefficients for quantitative liver steatosis assessment.Scientific reports · 2023Article
- High-Resolution Ultrasound Characterization of Local Scattering in Cancer Tissue.Ultrasound in medicine & biology · 2023Article
- Multiparametric ultrasound-based assessment of overt hyperthyroid diffuse thyroid disease.Frontiers in endocrinology · 2023Article
- 3-D H-scan ultrasound imaging of relative scatterer size using a matrix array transducer and sparse random aperture compounding.Computers in biology and medicine · 2022Article
- Improving breast cancer diagnosis by incorporating raw ultrasound parameters into machine learning.Machine learning: science and technology · 2022Article
- Photoacoustic graphic equalization and application in characterization of red blood cell aggregates.Photoacoustics · 2022Article
- Disease-Specific Imaging Utilizing Support Vector Machine Classification of H-Scan Parameters: Assessment of Steatosis in a Rat Model.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022Article
- Noninvasive estimation of local speed of sound by pulse-echo ultrasound in a rat model of nonalcoholic fatty liver.Physics in medicine and biology · 2022Article
- H-scan trajectories indicate the progression of specific diseases.Medical physics · 2021Article
- Quantification of Liver Fibrosis, Steatosis, and Viscosity Using Multiparametric Ultrasound in Patients with Non-Alcoholic Liver Disease: A "Real-Life" Cohort Study.Diagnostics (Basel, Switzerland) · 2021Article
- Three-dimensional visualization and improved quantification with super-resolution ultrasound imaging - validation framework for analysis of microvascular morphology using a chicken embryo model.Physics in medicine and biology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Liver disease is increasing in prevalence across the globe. We present here a multiparametric ultrasound (mpUS) imaging approach for assessing nonalcoholic fatty liver disease (NALFD). This study was performed using rats (N = 21) that were fed either a control or methionine and choline deficient (MCD) diet. A mpUS imaging approach that includes H-scan ultrasound (US), shear wave elastography, and contrast-enhanced US measurements were then performed at 0 (baseline), 2, and 6 weeks. Thereafter, animals were euthanized and livers excised for histological processing. A support vector machine (SVM) was used to find a decision plane that classifies normal and fatty liver conditions. In vivo mpUS results from control and MCD diet fed animals reveal that all mpUS measures were different at week 6 (P < 0.05). Principal component analysis (PCA) showed that the H-scan US data contributed the highest percentage to the classification among the mpUS measurements. The SVM resulted in 100% accuracy for classification of normal and high fat livers and 92% accuracy for classification of normal, low fat, and high fat livers. Histology findings found considerable steatosis in the MCD diet fed animals. This study suggests that mpUS examinations have the potential to provide a comprehensive estimation of the main components of early stage NAFLD.
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