ArticleScientific reports2019
B-mode ultrasound for the assessment of hepatic fibrosis: a quantitative multiparametric analysis for a radiomics approach.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 35 citations in OpenAlex.
- Preclinical efficacy and safety evaluation of human embryonic stem cell-derived functional hepatocytes for a clinical trial in acute liver failure.Stem cell research & therapy · 2026Article
- Early Detection of Liver Fibrosis Using Scatteromics Based on Multimodal QUS Envelope Statistics Imaging.Diagnostics (Basel, Switzerland) · 2026Article
- Brain ultrasound radiomics identify textural differences in basal ganglia and white matter between full term newborns HIV-exposed uninfected and HIV-unexposed in Botswana.Early human development · 2025Observational
- Preclinical Application of Computer-Aided High-Frequency Ultrasound (HFUS) Imaging: A Preliminary Report on the In Vivo Characterization of Hepatic Steatosis Progression in Mouse Models.Journal of imaging · 2025Article
- ChatGPT-4-Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study.JMIR AI · 2025Article
- Ultrasound radiomics-based logistic regression model for fibrotic NASH.BMC gastroenterology · 2025Article
- Integrated Ultrasound Characterization of the Diet-Induced Obesity (DIO) Model in Young Adult c57bl/6j Mice: Assessment of Cardiovascular, Renal and Hepatic Changes.Journal of imaging · 2024Article
- Advanced Techniques for Liver Fibrosis Detection: Spectral Photoacoustic Imaging and Superpixel Photoacoustic Unmixing Analysis for Collagen Tracking.Sensors (Basel, Switzerland) · 2024Article
- Development and Validation of an Ultrasonography-Based Machine Learning Model for Predicting Outcomes of Bruxism Treatments.Diagnostics (Basel, Switzerland) · 2024Article
- Hydralazine-augmented contrast ultrasound imaging improves the detection of hepatocellular carcinoma.Medical physics · 2023Article
- Application of Interpretable Machine Learning Models Based on Ultrasonic Radiomics for Predicting the Risk of Fibrosis Progression in Diabetic Patients with Nonalcoholic Fatty Liver Disease.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Ultrasound Radiomics for the Detection of Early-Stage Liver Fibrosis.Diagnostics (Basel, Switzerland) · 2022Article
- A Review of Radiomics and Artificial Intelligence and Their Application in Veterinary Diagnostic Imaging.Veterinary sciences · 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
- Can Sequential Images from the Same Object Be Used for Training Machine Learning Models? A Case Study for Detecting Liver Disease by Ultrasound Radiomics.AI (Basel, Switzerland) · 2022Article
- Diagnosis of Cubital Tunnel Syndrome Using Deep Learning on Ultrasonographic Images.Diagnostics (Basel, Switzerland) · 2022Article
- A radiomics-based model to classify the etiology of liver cirrhosis using gadoxetic acid-enhanced MRI.Scientific reports · 2021Article
- Subsequent Ultrasound Vascular Targeting Therapy of Hepatocellular Carcinoma Improves the Treatment Efficacy.Biology · 2021Article
- Article
- Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.Ultrasound in medicine & biology · 2020Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Hepatic fibrosis and cirrhosis are a growing global health problem with increasing mortality rates. Early diagnosis and staging of hepatic fibrosis represent a major challenge. Currently liver biopsy is the gold standard for fibrosis assessment; however, biopsy requires an invasive procedure and is prone to sampling error and reader variability. In the current study we investigate using quantitative analysis of computer-extracted features of B-mode ultrasound as a non-invasive tool to characterize hepatic fibrosis. Twenty-two rats were administered diethylnitrosamine (DEN) orally for 12 weeks to induce hepatic fibrosis. Four control rats did not receive DEN. B-mode ultrasound scans sampling throughout the liver were acquired at baseline, 10, and 13 weeks. Computer extracted quantitative parameters representing brightness (echointensity, hepatorenal index) and variance (heterogeneity, anisotropy) of the liver were studied. DEN rats showed an increase in echointensity from 37.1 ± SD 7.8 to 53.5 ± 5.7 (10 w) to 57.5 ± 6.1 (13 w), while the control group remained unchanged at an average of 34.5 ± 4.5. The three other features studied increased similarly over time in the DEN group. Histologic analysis showed METAVIR fibrosis grades of F2-F4 in DEN rats and F0-F1 in controls. Increasing imaging parameters correlated with increasing METAVIR grades, and anisotropy showed the strongest correlation (ρ = 0.58). Sonographic parameters combined using multiparametric logistic regression were able to differentiate between clinically significant and insignificant fibrosis. Quantitative B-mode ultrasound imaging can be implemented in clinical settings as an accurate non-invasive tool for fibrosis assessment.
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