scholarly journals Hepatic Steatosis Assessment Using Quantitative Ultrasound Parametric Imaging Based on Backscatter Envelope Statistics

2019 ◽  
Vol 9 (4) ◽  
pp. 661 ◽  
Author(s):  
Zhuhuang Zhou ◽  
Qiyu Zhang ◽  
Weiwei Wu ◽  
Shuicai Wu ◽  
Po-Hsiang Tsui
Keyword(s):  
Liver Biopsy ◽  
Hepatic Steatosis ◽  
Quantitative Ultrasound ◽  
Tissue Characterization ◽  
Imaging Techniques ◽  
Parametric Imaging ◽  
Sampling Errors ◽  
Alcoholic Fatty Liver ◽  
Ultrasound Tissue Characterization ◽  
Model Based

Hepatic steatosis is a key manifestation of non-alcoholic fatty liver disease (NAFLD). Early detection of hepatic steatosis is of critical importance. Currently, liver biopsy is the clinical golden standard for hepatic steatosis assessment. However, liver biopsy is invasive and associated with sampling errors. Ultrasound has been recommended as a first-line diagnostic test for the management of NAFLD. However, B-mode ultrasound is qualitative and can be affected by factors including image post-processing parameters. Quantitative ultrasound (QUS) aims to extract quantified acoustic parameters from the ultrasound backscattered signals for ultrasound tissue characterization and can be a complement to conventional B-mode ultrasound. QUS envelope statistics techniques, both statistical model-based and non-model-based, have shown potential for hepatic steatosis characterization. However, a state-of-the-art review of hepatic steatosis assessment using envelope statistics techniques is still lacking. In this paper, envelope statistics-based QUS parametric imaging techniques for characterizing hepatic steatosis are reviewed and discussed. The reviewed ultrasound envelope statistics parametric imaging techniques include acoustic structure quantification imaging, ultrasound Nakagami imaging, homodyned-K imaging, kurtosis imaging, and entropy imaging. Future developments are suggested.

scholarly journals Association Between Hepatic Steatosis and Metabolic Syndrome in Patients With Non-alcoholic Fatty Liver Disease

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 858-858
Author(s):  
Victoria Quadros Pereira ◽  
Carine Panke ◽  
Leticia Eifler ◽  
Cristiane Tovo ◽  
Thaís Moreira
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Liver Disease ◽  
Liver Biopsy ◽  
Fatty Liver ◽  
Hepatic Steatosis ◽  
Fatty Liver Disease ◽  
Serum Triglycerides ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

Abstract Objectives Evaluate the association between the degree of hepatic steatosis and the development of metabolic syndrome in outpatients care. Methods Prospective cross-sectional study with outpatients care at the Gastroenterology Service of a hospital in southern Brazil. The study was approved by the Ethics Committee with protocol 57,328,416.8.0000.5335. Patients aged over 18 years and with non-alcoholic fatty liver disease were included. Patients were excluded from hepatitis B and C, with significant alcohol consumption and hepatocellular carcinoma. Data collection occurred during nutritional consultations, where we collected data of age, gender, lifestyle, diagnosis of comorbidities and biochemical tests. The result of liver biopsy was evaluated for the degree of hepatic steatosis. Anthropometric parameters were assessed for the diagnosis of metabolic syndrome, in addition to electrical bioimpedance for body composition. Data were presented as mean, median, standard deviation, interquartile range and percentages according to distribution. Student T, ANOVA and Pearson correlation tests were applied. The significance level was 5%. Results We evaluated 71 patients with mean age 59.08 ± 8.92 years, 67.6% (n = 48) women, 60.6% (n = 43) sedentary, 52.2% (n = 37) no smoking and mean body mass index of 32.91 ± 5.27 kg/m2. Systemic arterial hypertension were diagnosed in 80.3% (n = 57), 73.2% (n = 52) were diabetic, 66.2% (n = 47) were dyslipidemic and 28.2% (n = 20) of patients with metabolic syndrome. As liver biopsy, 25.4% (n = 18) mild steatosis, 23.9% (n = 17) moderate and 26.8% (n = 19) intense. In the comparison between the levels of hepatic steatosis and the variables, it was observed that patients with severe steatosis had metabolic syndrome (p = 0.041). Patients with metabolic syndrome have higher fat mass (p = 0.044), diastolic blood pressure (p = 0.019) and higher levels of serum triglycerides (p = 0.043). Severe hepatic steatosis correlated with the diagnosis of metabolic syndrome (r = 0.319; p = 0.019). Conclusions Severe hepatic steatosis is related to the diagnosis of metabolic syndrome.Patients with metabolic syndrome had a higher amount of fat mass, increased diastolic blood pressure and serum triglycerides. Funding Sources This study was not funded.

Ultrasound Backscatter Envelope Statistics Parametric Imaging for Liver Fibrosis Characterization: A Review

2020 ◽  
Vol 42 (2) ◽  
pp. 92-109 ◽  
Author(s):  
Zhuhuang Zhou ◽  
Anna Gao ◽  
Qiyu Zhang ◽  
Weiwei Wu ◽  
Shuicai Wu ◽  
...  
Keyword(s):  
Liver Fibrosis ◽  
Imaging Techniques ◽  
Theoretical Background ◽  
Parametric Imaging ◽  
Constant False Alarm Rate ◽  
Sampling Errors ◽  
Clinical Value ◽  
Ultrasound Backscatter ◽  
Pros And Cons ◽  
Detection And Diagnosis

Early detection and diagnosis of liver fibrosis is of critical importance. Currently the gold standard for diagnosing liver fibrosis is biopsy. However, liver biopsy is invasive and associated with sampling errors and can lead to complications such as bleeding. Therefore, developing noninvasive imaging techniques for assessing liver fibrosis is of clinical value. Ultrasound has become the first-line tool for the management of chronic liver diseases. However, the commonly used B-mode ultrasound is qualitative and can cause interobserver or intraobserver difference. Ultrasound backscatter envelope statistics parametric imaging is an important group of quantitative ultrasound techniques that have been applied to characterizing different kinds of tissue. However, a state-of-the-art review of ultrasound backscatter envelope statistics parametric imaging for liver fibrosis characterization has not been conducted. In this paper, we focused on the development of ultrasound backscatter envelope statistics parametric imaging techniques for assessing liver fibrosis from 1998 to September 2019. We classified these techniques into six categories: constant false alarm rate, fiber structure extraction technique, acoustic structure quantification, quantile–quantile probability plot, the multi-Rayleigh model, and the Nakagami model. We presented the theoretical background and algorithms for liver fibrosis assessment by ultrasound backscatter envelope statistics parametric imaging. Then, the specific applications of ultrasound backscatter envelope statistics parametric imaging techniques to liver fibrosis evaluation were reviewed and analyzed. Finally, the pros and cons of each technique were discussed, and the future development was suggested.

scholarly journals Non-invasive imaging techniques in assessing non-alcoholic fatty liver disease: a current status of available methods

2017 ◽  
Vol 10 (1) ◽  
pp. 19-26 ◽  
Author(s):  
AM Lăpădat ◽  
◽  
IR Jianu ◽  
BS Ungureanu ◽  
LM Florescu ◽  
...  
Keyword(s):  
Liver Disease ◽  
Liver Biopsy ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Imaging Techniques ◽  
Current Status ◽  
Alcoholic Fatty Liver ◽  
Advantages And Disadvantages ◽  
Non Invasive ◽  
Alcoholic Fatty Liver Disease

Non-alcoholic fatty liver disease (NAFLD) is an ailment affecting and increasing a number of people worldwide diagnosed via non-invasive imaging techniques, at a time when a minimum harm caused by medical procedures is rightfully emphasized, more sought after, than ever before. Liver steatosis should not be taken lightly even if its evolution is largely benign as it has the potential to develop into non-alcoholic steatohepatitis (NASH) or even more concerning, hepatic cirrhosis, and hepatocellular carcinoma (HCC). Traditionally, liver biopsy has been the standard for diagnosing this particular liver disease, but nowadays, a consistent number of imagistic methods are available for diagnosing hepatosteatosis and choosing the one appropriate to the clinical context is the key. Although different in sensitivity and specificity when it comes to determining the hepatic fat fraction (FF), these imaging techniques possessing a diverse availability, operating difficulty, cost, and reproducibility are invaluable to any modern physician. Ultrasonography (US), computed tomography (CT), magnetic resonance imaging (MRI), elastography, and spectroscopy will be discussed in order to lay out the advantages and disadvantages of their diagnostic potential and application.Although imagistics has given physicians a valuable insight into the means of managing NAFLD, the current methods are far from perfect, but given the time, they will surely be improved and the use of liver biopsy will be completely removed.

scholarly journals Small-window parametric imaging based on information entropy for ultrasound tissue characterization

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Po-Hsiang Tsui ◽  
Chin-Kuo Chen ◽  
Wen-Hung Kuo ◽  
King-Jen Chang ◽  
Jui Fang ◽  
...  
Keyword(s):  
Information Entropy ◽  
Tissue Characterization ◽  
Parametric Imaging ◽  
Ultrasound Tissue Characterization ◽  
Small Window

scholarly journals Clinical Value of Information Entropy Compared with Deep Learning for Ultrasound Grading of Hepatic Steatosis

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 1006 ◽  
Author(s):  
Jheng-Ru Chen ◽  
Yi-Ping Chao ◽  
Yu-Wei Tsai ◽  
Hsien-Jung Chan ◽  
Yung-Liang Wan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Hepatic Steatosis ◽  
Information Entropy ◽  
Tissue Characterization ◽  
Fatty Infiltration ◽  
Quantitative Measure ◽  
Roc Curves ◽  
Clinical Value ◽  
Roc Curve Analysis ◽  
Ultrasound Tissue Characterization

Entropy is a quantitative measure of signal uncertainty and has been widely applied to ultrasound tissue characterization. Ultrasound assessment of hepatic steatosis typically involves a backscattered statistical analysis of signals based on information entropy. Deep learning extracts features for classification without any physical assumptions or considerations in acoustics. In this study, we assessed clinical values of information entropy and deep learning in the grading of hepatic steatosis. A total of 205 participants underwent ultrasound examinations. The image raw data were used for Shannon entropy imaging and for training and testing by the pretrained VGG-16 model, which has been employed for medical data analysis. The entropy imaging and VGG-16 model predictions were compared with histological examinations. The diagnostic performances in grading hepatic steatosis were evaluated using receiver operating characteristic (ROC) curve analysis and the DeLong test. The areas under the ROC curves when using the VGG-16 model to grade mild, moderate, and severe hepatic steatosis were 0.71, 0.75, and 0.88, respectively; those for entropy imaging were 0.68, 0.85, and 0.9, respectively. Ultrasound entropy, which varies with fatty infiltration in the liver, outperformed VGG-16 in identifying participants with moderate or severe hepatic steatosis (p < 0.05). The results indicated that physics-based information entropy for backscattering statistics analysis can be recommended for ultrasound diagnosis of hepatic steatosis, providing not only improved performance in grading but also clinical interpretations of hepatic steatosis.

scholarly journals Quantitative ultrasound tissue characterization in shoulder and thigh muscles – a new approach

2006 ◽  
Vol 7 (1) ◽  
Author(s):  
Pernille Kofoed Nielsen ◽  
Bente R Jensen ◽  
Tron Darvann ◽  
Kurt Jørgensen ◽  
Merete Bakke
Keyword(s):  
Quantitative Ultrasound ◽  
Tissue Characterization ◽  
New Approach ◽  
Ultrasound Tissue Characterization ◽  
Thigh Muscles

scholarly journals Serum magnesium concentration is independently associated with non-alcoholic fatty liver and non-alcoholic steatohepatitis

2017 ◽  
Vol 6 (1) ◽  
pp. 97-103 ◽  
Author(s):  
Ahad Eshraghian ◽  
Saman Nikeghbalian ◽  
Bita Geramizadeh ◽  
Seyed Ali Malek-Hosseini
Keyword(s):  
Liver Biopsy ◽  
Fatty Liver ◽  
Hepatic Steatosis ◽  
Serum Magnesium ◽  
Normal Liver ◽  
Magnesium Concentration ◽  
Alcoholic Fatty Liver ◽  
Donor Liver Transplantation ◽  
Serum Magnesium Concentration ◽  
Expert Pathologist

Background The pathogenesis of non-alcoholic fatty liver disease (NAFLD) has not been well recognized yet. Objective This study aimed to investigate the association between serum magnesium concentration and NAFLD. Methods Study participants were healthy individuals who had undergone liver biopsies between January 2012 and August 2015 as a routine pre-transplant check-up before living donor liver transplantation. Liver biopsy specimens were evaluated by an expert pathologist regarding presence of hepatic steatosis and steatohepatitis. Serum magnesium concentration was measured and compared in those with normal liver biopsy and those with steatosis and steatohepatitis. Results A total of 226 individuals were included. Eighty-two individuals (36.2%) had hepatic steatosis and 22 (9.7%) individuals had steatohepatitis and steatosis in their liver histology. Lower serum magnesium concentration was independently associated with hepatic steatosis (OR: 0.059; 95% CI: 0.011–0.325, p = 0.001). Serum magnesium concentration was independently associated with steatohepatitis compared to those without steatohepatitis (1.80 ± 0.48 mg/dl and 2.18 ± 0.31 mg/dl) (OR: 0.11; 95% CI: 0.02–0.41, p = 0.001). Serum magnesium concentration was significantly lower in individuals with steatohepatitis (1.80 ± 0.48 mg/dl) compared to individuals without steatosis (2.23 ± 0.31 mg/dl, p < 0.001) and individuals with only steatosis (2.07 ± 0.29 mg/dl, p = 0.017). Conclusion Serum magnesium concentration is independently associated with hepatic steatosis and steatohepatitis in our study population.

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