Quantitative analysis of non-alcoholic fatty liver in rats via combining multiple ultrasound parameters.

Math Biosci Eng

School of Biomedical Engineering, Shenzhen University, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, Guangdong, P. R. China.

Published: May 2019


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease. The noninvasive and accurate classification of NAFLD is still a challenging problem. In this study we pro- posed a new quantitative ultrasound (QUS) technique, which combined multiple QUS parameters for distinguishing steatosis stages. NAFLD was induced in the livers of 57 rats by gavage feeding with a high fat emulsion, while 8 rats were given a standard diet to serve as controls. Ex vivo ultrasound mea- surement was conducted for capturing the radiofrequency signal. Six QUS parameters were extracted and selected for linear combination. The results show that the overall performance of the combined parameter is better than that of the single QUS parameter. The accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) while using our proposed method to distinguish mild steatosis (stage S1) from the steatosis under stage S0 are 90.1%, 0.93, 0.88 and 0.97 respectively. In conclusion, the proposed method in this study can make up for the deficiency of single parameter and improve the quantitative staging ability of fatty liver, and thus could play an important role in the diagnosis of NAFLD.

Download full-text PDF

Source
http://dx.doi.org/10.3934/mbe.2019227DOI Listing

Publication Analysis

Top Keywords

fatty liver
12
liver disease
8
qus parameters
8
proposed method
8
steatosis stage
8
quantitative analysis
4
analysis non-alcoholic
4
non-alcoholic fatty
4
liver
4
liver rats
4

Similar Publications

Background: This study aimed to investigate the gender-specific associations of skeletal muscle mass and fat mass with non-alcoholic fatty liver disease (NAFLD) and NAFLD-related liver fibrosis in two population-based studies.

Methods: Analyses were based on data from the MEGA (n = 238) and the MEIA study (n = 594) conducted between 2018 and 2023 in Augsburg, Germany. Bioelectrical impedance analysis was used to evaluate relative skeletal muscle mass (rSM) and SM index (SMI) as well as relative fat mass (rFM) and FM index (FMI); furthermore, the fat-to-muscle ratio was built.

View Article and Find Full Text PDF

Obstructive sleep apnea (OSA) is associated with metabolic disorders such as insulin resistance and liver fat accumulation. However, the specific mediating role of liver-related metabolic indicators in this association has not been fully studied. The purpose of this study was to investigate the relationship between Metabolic Score for Insulin Resistance (METS-IR) and OSA, focusing on the mediating effects of liver fat percentage (PLF) and hepatic steatosis index (HSI).

View Article and Find Full Text PDF

Background And Aims: Diabetes mellitus (DM) commonly coexists with non-alcoholic fatty liver disease (NAFLD) and chronic kidney disease (CKD), and when combined with these two conditions, the risk of all-cause mortality and developing cardiovascular diseases (CVD) increases. The present community-based cohort study aimed to elucidate the combined effect of NAFLD and CKD on CVD and mortality risks in new-onset DM patients.

Methods And Results: After the exclusion of participants failing to meet the inclusion criteria, 11,328 eligible participants (mean age: 58.

View Article and Find Full Text PDF

Background And Aims: Obesity-related non-alcoholic fatty liver disease (NAFLD) and serum high-sensitivity C-reactive protein (hs-CRP) are known to be associated to some extent. Nevertheless, this relationship remains unclear in non-obese individuals.

Methods And Results: A prospective cohort study was conducted using data from the health check ups of employees at Zhenhai Refining and Chemical Hospital in Ningbo City.

View Article and Find Full Text PDF

Monitoring ferroptosis in vivo: Iron-driven volatile oxidized lipids as breath biomarkers.

Redox Biol

September 2025

Multi-Omics Platform, Center for Cancer Immunotherapy and Immunobiology, Kyoto University Graduate School of Medicine, Kyoto, Japan; Human Biology Microbiome Quantum Research Center, Keio University School of Medicine, Tokyo, Japan. Electronic address:

Ferroptosis, an iron-dependent cell death mechanism characterized by excessive lipid peroxidation, has been implicated in numerous human diseases and organ pathologies. However, current detection methods necessitate invasive tissue sampling to assess lipid peroxidation, making noninvasive detection of ferroptosis in human subjects extremely challenging. In this study, we employed oxidative volatolomics to comprehensively characterize the volatile oxidized lipids (VOLs) produced during ferroptosis.

View Article and Find Full Text PDF