Artificial intelligence in prediction of non‐alcoholic fatty liver disease and fibrosis

2021 ◽  
Vol 36 (3) ◽  
pp. 543-550
Author(s):  
Grace Lai‐Hung Wong ◽  
Pong‐Chi Yuen ◽  
Andy Jinhua Ma ◽  
Anthony Wing‐Hung Chan ◽  
Howard Ho‐Wai Leung ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Liver Disease ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

scholarly journals Performance of Ultrasound Techniques and the Potential of Artificial Intelligence in the Evaluation of Hepatocellular Carcinoma and Non-Alcoholic Fatty Liver Disease

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 790
Author(s):  
Monica Lupsor-Platon ◽  
Teodora Serban ◽  
Alexandra Iulia Silion ◽  
George Razvan Tirpe ◽  
Alexandru Tirpe ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Hepatocellular Carcinoma ◽  
Liver Disease ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Liver Lesion ◽  
Focal Liver Lesion ◽  
Ultrasound Contrast Agents ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

Global statistics show an increasing percentage of patients that develop non-alcoholic fatty liver disease (NAFLD) and NAFLD-related hepatocellular carcinoma (HCC), even in the absence of cirrhosis. In the present review, we analyzed the diagnostic performance of ultrasonography (US) in the non-invasive evaluation of NAFLD and NAFLD-related HCC, as well as possibilities of optimizing US diagnosis with the help of artificial intelligence (AI) assistance. To date, US is the first-line examination recommended in the screening of patients with clinical suspicion of NAFLD, as it is readily available and leads to a better disease-specific surveillance. However, the conventional US presents limitations that significantly hamper its applicability in quantifying NAFLD and accurately characterizing a given focal liver lesion (FLL). Ultrasound contrast agents (UCAs) are an essential add-on to the conventional B-mode US and to the Doppler US that further empower this method, allowing the evaluation of the enhancement properties and the vascular architecture of FLLs, in comparison to the background parenchyma. The current paper also explores the new universe of AI and the various implications of deep learning algorithms in the evaluation of NAFLD and NAFLD-related HCC through US methods, concluding that it could potentially be a game changer for patient care.

scholarly journals Non-Alcoholic Fatty Liver Disease: Implementing Complete Automated Diagnosis and Staging. A Systematic Review

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1078
Author(s):  
Stefan L. Popa ◽  
Abdulrahman Ismaiel ◽  
Pop Cristina ◽  
Mogosan Cristina ◽  
Giuseppe Chiarioni ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Liver Disease ◽  
Electronic Health Records ◽  
Fatty Liver ◽  
Fatty Liver Disease ◽  
Digital Pathology ◽  
Automated Diagnosis ◽  
Health Records ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

Background: Non-alcoholic fatty liver disease (NAFLD) is a fast-growing pathology around the world, being considered the most common chronic liver disease. It is diagnosed based on the presence of steatosis in more than 5% of hepatocytes without significant alcohol consumption. This review aims to provide a comprehensive overview of current studies of artificial intelligence (AI) applications that may help physicians in implementing a complete automated NAFLD diagnosis and staging. Methods: PubMed, EMBASE, Cochrane Library, and WILEY databases were screened for relevant publications in relation to AI applications in NAFLD. The search terms included: (non-alcoholic fatty liver disease OR NAFLD) AND (artificial intelligence OR machine learning OR neural networks OR deep learning OR automated diagnosis OR computer-aided diagnosis OR digital pathology OR automated ultrasound OR automated computer tomography OR automated magnetic imaging OR electronic health records). Results: Our search identified 37 articles about automated NAFLD diagnosis, out of which 15 articles analyzed imagistic techniques, 15 articles analyzed digital pathology, and 7 articles analyzed electronic health records (EHC). All studies included in this review show an accurate capacity of automated diagnosis and staging in NAFLD using AI-based software. Conclusions: We found significant evidence demonstrating that implementing a complete automated system for NAFLD diagnosis, staging, and risk stratification is currently possible, considering the accuracy, sensibility, and specificity of available AI-based tools.

Vitamin D levels are not associated with non-alcoholic fatty liver disease severity in a Brazilian population

2020 ◽  
pp. 1-8
Author(s):  
Jeniffer Danielle M. Dutra ◽  
Quelson Coelho Lisboa ◽  
Silvia Marinho Ferolla ◽  
Carolina Martinelli M. L. Carvalho ◽  
Camila Costa M. Mendes ◽  
...  
Keyword(s):  
Vitamin D ◽  
Liver Disease ◽  
Fatty Liver ◽  
Disease Severity ◽  
Fatty Liver Disease ◽  
Hypovitaminosis D ◽  
Alcoholic Fatty Liver ◽  
Vitamin D Levels ◽  
The Mean ◽  
Alcoholic Fatty Liver Disease

Abstract. Some epidemiological evidence suggests an inverse correlation between non-alcoholic fatty liver disease (NAFLD) frequency and vitamin D levels. Likewise, a beneficial effect of vitamin D on diabetes mellitus (DM) and insulin resistance has been observed, but this is an unsolved issue. Thus, we aimed to investigate the prevalence of hypovitaminosis D in a NAFLD Brazilian population and its association with disease severity and presence of comorbidities. In a cross-sectional study, the clinical, biochemical and histological parameters of 139 NAFLD patients were evaluated according to two different cut-off points of serum 25-hydroxyvitamin D levels (20 ng/mL and 30 ng/mL). The mean age of the population was 56 ± 16 years, most patients were female (83%), 72% had hypertension, 88% dyslipidemia, 46% DM, 98% central obesity, and 82% metabolic syndrome. Serum vitamin D levels were < 30 ng/mL in 78% of the patients, and < 20 ng/mL in 35%. The mean vitamin D level was 24.3 ± 6.8 ng/mL. The comparison between the clinical, biochemical and histological characteristics of the patients according to the levels of vitamin D showed no significant difference. Most patients with NAFLD had hypovitaminosis D, but low vitamin D levels were not related to disease severity and the presence of comorbidities.

Non-Alcoholic Fatty Liver Disease in Overweight Children and its Relationship with Retinol Serum Levels

2008 ◽  
Vol 78 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Suano de Souza ◽  
Silverio Amancio ◽  
Saccardo Sarni ◽  
Sacchi Pitta ◽  
Fernandes ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Liver Disease ◽  
Fatty Liver ◽  
Lipid Profile ◽  
Fatty Liver Disease ◽  
Thiobarbituric Acid ◽  
Serum Levels ◽  
Control Group ◽  
Alcoholic Fatty Liver ◽  
Alcoholic Fatty Liver Disease

Objectives: To evaluate the frequency of non-alcoholic fatty liver disease, the retinol serum levels, lipid profile, and insulin resistance in overweight/obese children. To relate these biochemical variables with the risk of this disease in the population studied. Methods: The study was cross-sectional and prospective, with 46 overweight/obese school children (28 female, 18 male; mean age 8.6 years). The control group consisted of 45 children, paired by age and gender. Hepatic steatosis, evaluated by ultrasound, was classified as normal, mild, moderate, or severe. Also evaluated were serum retinol levels; thiobarbituric acid reactive substances; lipid profile; and fasting glucose and serum insulin levels, used for the calculation of the Homeostasis Model Assessment. Results: Hepatic ultrasound alterations were found in 56.5% and 48,9% of the overweight/obese and control group children, respectively. Presence of obesity was associated with high levels of triglycerides (OR = 4.6; P = 0.002). In the studied children, the risk of steatosis was related to a trend to a higher percentage of retinol inadequacy (OR = 2.8; p = 0.051); there was no association with thiobarbituric acid reactive substances, lipid profile, or insulin resistance. Conclusions: The high frequency of non-alcoholic fatty liver disease in both groups, evaluated by hepatic ultrasound, in low-socioeconomic level children, independent of nutritional condition and without significant association with insulin resistance, emphasizes that especially in developing countries, other risk factors such as micronutrient deficiencies (e.g. vitamin A) are involved.

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