AIMC Topic: Non-alcoholic Fatty Liver Disease

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Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.

Medical physics Jul 5, 2019
PURPOSE: Manually tracing regions of interest (ROIs) within the liver is the de facto standard method for measuring liver attenuation on computed tomography (CT) in diagnosing nonalcoholic fatty liver disease (NAFLD). However, manual tracing is resou...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Liver Non-alcoholic Fatty Liver Disease Humans
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Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jun 20, 2019
OBJECTIVES: To verify the value of deep learning in diagnosing nonalcoholic fatty liver disease (NAFLD) by comparing 3 image-processing techniques.
Sensitivity and Specificity Severity of Illness Index Deep Learning Ultrasonography Liver Evaluation Studies as Topic Non-alcoholic Fatty Liver Disease Image Interpretation, Computer-Assisted
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Non-invasive assessment of NAFLD as systemic disease-A machine learning perspective.

PloS one Mar 26, 2019
BACKGROUND & AIMS: Current non-invasive scores for the assessment of severity of non-alcoholic fatty liver disease (NAFLD) and identification of patients with non-alcoholic steatohepatitis (NASH) have insufficient performance to be included in clinic...
Middle Aged Cohort Studies Computational Biology Apoptosis Obesity Biomarkers Female Adult Male Body Weight Non-alcoholic Fatty Liver Disease Humans Machine Learning
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Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Prospective Studies Female Aged Male Middle Aged Humans Machine Learning Thrombocytopenia Hepatic Encephalopathy Serum Albumin Blood Urea Nitrogen Endoscopy, Digestive System Hemoglobins International Normalized Ratio Sodium Esophageal and Gastric Varices Platelet Count Ascites Hepatitis C, Chronic Alanine Transaminase Creatinine Aspartate Aminotransferases Risk Assessment Non-alcoholic Fatty Liver Disease Bilirubin Severity of Illness Index Liver Cirrhosis, Alcoholic Liver Cirrhosis Gastrointestinal Hemorrhage Mass Screening
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Quantitative ultrasound and machine learning for assessment of steatohepatitis in a rat model.

European radiology Dec 17, 2018
OBJECTIVES: To develop a machine learning model based on quantitative ultrasound (QUS) parameters to improve classification of steatohepatitis with shear wave elastography in rats by using histopathology scoring as the reference standard.
Ultrasonography ROC Curve Rats Rats, Sprague-Dawley Disease Models, Animal Liver Non-alcoholic Fatty Liver Disease Machine Learning Animals Male
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Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectr...
Liver Function Tests Case-Control Studies Cohort Studies Non-alcoholic Fatty Liver Disease Diabetes Mellitus, Type 2 Risk Factors Humans Hepatitis Fatty Liver Biomarkers Alanine Transaminase Electronic Health Records Aspartate Aminotransferases Female Logistic Models Liver Cirrhosis Health Status Decision Trees Supervised Machine Learning Aged Male Middle Aged Disease Progression
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Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China.

BioMed research international Oct 3, 2018
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases. Machine learning techniques were introduced to evaluate the optimal predictive clinical model of NAFLD.
Humans Machine Learning gamma-Glutamyltransferase Alanine Transaminase Triglycerides Middle Aged Female China Adult Body Mass Index Cross-Sectional Studies Models, Biological Male Non-alcoholic Fatty Liver Disease
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A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression.

Scientific reports Feb 1, 2018
Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screening is complicated by the fact that the accuracy of noninvasive testing lacks specificity and sensitivity to make and stage the diagnosis. Currently n...
Metabolic Syndrome Non-alcoholic Fatty Liver Disease Disease Progression Prevalence Humans Canada Machine Learning Body Mass Index Female Risk Factors Adult Male Middle Aged
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Low Circulating Levels of Neurotensin in Women with Nonalcoholic Fatty Liver Disease Associated with Severe Obesity.

Obesity (Silver Spring, Md.) Dec 25, 2017
OBJECTIVE: This study was performed to investigate neurotensin plasma levels in patients with nonalcoholic fatty liver disease (NAFLD) associated with severe obesity.
Female Adult Male Middle Aged Non-alcoholic Fatty Liver Disease Obesity, Morbid Neurotensin Humans
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A Combination of Coffee Compounds Shows Insulin-Sensitizing and Hepatoprotective Effects in a Rat Model of Diet-Induced Metabolic Syndrome.

Nutrients Dec 22, 2017
Since coffee may help to prevent the development of metabolic syndrome (MetS), we aimed to evaluate the short- and long-term effects of a coffee-based supplement on different features of diet-induced MetS. In this study, 24 Sprague Dawley rats were d...
Diterpenes Cytokines Caffeic Acids Carbon-13 Magnetic Resonance Spectroscopy Animals Dietary Sucrose Lipids Blood Glucose Coffea Insulin Non-alcoholic Fatty Liver Disease Disease Models, Animal Alkaloids Time Factors Metabolic Syndrome Insulin Resistance Dietary Supplements Liver Diet, High-Fat Seeds Rats, Sprague-Dawley
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