AIMC Topic: Liver Cirrhosis

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Golgi protein 73: charting new territories in diagnosing significant fibrosis in MASLD: a prospective cross-sectional study.

Frontiers in endocrinology Jan 13, 2025
OBJECTIVES: To explore the correlation between serum Golgi protein 73 (GP73) levels and the degree of fibrosis in Metabolic dysfunction associated steatotic liver disease (MASLD); to establish a non-invasive diagnostic algorithm based on serum GP73 a...
Middle Aged ROC Curve Fatty Liver Liver Cirrhosis Membrane Proteins Humans Algorithms Prospective Studies Biomarkers Female Aged Adult Cross-Sectional Studies Male
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Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI.

European radiology Jan 9, 2025
BACKGROUND: Chronic liver disease (CLD) is a substantial cause of morbidity and mortality worldwide. Liver stiffness, as measured by MR elastography (MRE), is well-accepted as a surrogate marker of liver fibrosis.
Humans Female Liver Cirrhosis Magnetic Resonance Imaging Liver Liver Diseases Elasticity Imaging Techniques Aged Adult Male Middle Aged Deep Learning
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Liver fibrosis stage classification in stacked microvascular images based on deep learning.

BMC medical imaging Jan 7, 2025
BACKGROUND: Monitoring fibrosis in patients with chronic liver disease (CLD) is an important management strategy. We have already reported a novel stacked microvascular imaging (SMVI) technique and an examiner scoring evaluation method to improve fib...
Female Aged Adult Cross-Sectional Studies Male Humans Neural Networks, Computer Artificial Intelligence Microvessels Middle Aged Deep Learning Liver Cirrhosis Elasticity Imaging Techniques
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Noninvasive diagnosis of significant liver fibrosis in patients with chronic hepatitis B using nomogram and machine learning models.

Scientific reports Jan 2, 2025
This study aims to construct and validate noninvasive diagnosis models for evaluating significant liver fibrosis in patients with chronic hepatitis B (CHB). A cohort of 259 CHB patients were selected as research subjects. Through random grouping, 182...
Male Middle Aged ROC Curve Liver Cirrhosis Nomograms Area Under Curve Hepatitis B, Chronic Humans Machine Learning Female Adult
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Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine.

Scientific reports Jan 2, 2025
The traditional diagnosis of chronic hepatitis C usually relies on liver biopsy. Diagnosing chronic hepatitis C based on serum indices provides a non-invasive way to determine the stage of chronic hepatitis C without liver biopsy. In this paper, we p...
Liver Cirrhosis Cluster Analysis Hepatitis C, Chronic Biomarkers Female Male Inflammation Humans Machine Learning
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Association between serum endocan levels and organ failure in hospitalized patients with cirrhosis.

PloS one Dec 26, 2024
BACKGROUND & AIMS: Acute-on-chronic liver failure is a syndrome characterized by organ failure and high short-term mortality. The lack of reliable biomarkers for the early detection of acute-on-chronic liver failure is a significant challenge. Endoth...
Male Middle Aged ROC Curve Liver Cirrhosis Proteoglycans Prognosis Humans Female Hospitalization Interleukin-6 Neoplasm Proteins Aged Prospective Studies Acute-On-Chronic Liver Failure Biomarkers Procalcitonin Multiple Organ Failure
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Application of machine learning methods for predicting esophageal variceal bleeding in patients with cirrhosis.

European radiology Dec 21, 2024
OBJECTIVE: To develop and compare machine learning models based on CT morphology features, serum biomarkers, and basic physical conditions to predict esophageal variceal bleeding.
Male Middle Aged Adolescent Liver Cirrhosis Predictive Value of Tests Esophageal and Gastric Varices Gastrointestinal Hemorrhage Humans Female Machine Learning Aged Aged, 80 and over Biomarkers Young Adult Retrospective Studies Adult Tomography, X-Ray Computed
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Diagnostic accuracy of texture analysis applied to T- and T-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard.

European journal of radiology Dec 20, 2024
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibrosis into no-to-mild liver fibrosis (nmF) versus severe fibrosis (sF) group using machine learning algorithms and histology as reference standard.
Humans Retrospective Studies Female Liver Principal Component Analysis Area Under Curve Biopsy Image Interpretation, Computer-Assisted Reference Standards Severity of Illness Index Elasticity Imaging Techniques Aged ROC Curve Echo-Planar Imaging Adult Liver Cirrhosis Male Support Vector Machine Middle Aged Magnetic Resonance Imaging
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Standardized evaluation of diabetic retinopathy using artificial intelligence and its association with metabolic dysfunction-associated steatotic liver disease in Japan: A cross-sectional study.

PloS one Dec 17, 2024
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity and diabetes and can lead to serious complications. This study aimed to evaluate fundus photographs using artificial intelligence to explore the relat...
Non-alcoholic Fatty Liver Disease Japan Image Interpretation, Computer-Assisted Photography Protective Factors Cholinesterases Middle Aged Risk Factors Severity of Illness Index Humans Sensitivity and Specificity Diabetic Retinopathy Liver Cirrhosis Artificial Intelligence Glycated Hemoglobin Software Fundus Oculi Female Cross-Sectional Studies Male
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Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.

Clinical biochemistry Dec 13, 2024
BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) are in high demand. Although underutilized, extracellular matrix (ECM) components offer significant diagnostic potential. This study evaluates ECM-relat...
Male Middle Aged Liver Cirrhosis Hyaluronic Acid Extracellular Matrix Biomarkers Female Aged Adult Boosting Machine Learning Algorithms Humans Machine Learning
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