Generic placeholder image

The International Journal of Gastroenterology and Hepatology Diseases

Editor-in-Chief

ISSN (Print): 2666-2906
ISSN (Online): 2666-2914

Review Article

Agile 3+ and Metabolic Dysfunction-Associated Fatty Liver Disease: Detecting Advanced Fibrosis based on Reported Liver Stiffness Measurement in FibroScan and Laboratory Findings

Author(s): Mohammadjavad Sotoudeheian*

Volume 3, 2024

Published on: 27 June, 2024

Article ID: e270624231398 Pages: 12

DOI: 10.2174/0126662906302851240604042954

Price: $65

Abstract

Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD), formerly known as Non-alcoholic fatty liver disease (NAFLD), is characterized by fat accumulation in the liver and is associated with obesity, insulin resistance, and metabolic syndrome. Early detection and intervention are crucial to prevent disease progression to advanced fibrosis, cirrhosis, and liver failure. Non-invasive tests like transient elastography (TE), the Fibrosis-4 (FIB-4) index, the Enhanced Liver Fibrosis (ELF) score, and magnetic resonance imaging (MRI) are safer and more convenient than invasive procedures like liver biopsy for detecting advanced fibrosis in MAFLD patients. Agile 3+ is a non-invasive test that combines liver stiffness measurement (LSM) with clinical and laboratory findings to detect advanced fibrosis in MAFLD patients. It has shown high accuracy in detecting advanced fibrosis in MAFLD patients. The combination of LSM and laboratory findings provides a more accurate assessment of disease severity, making Agile 3+ a reliable, noninvasive test for assessing liver fibrosis in MAFLD patients. In summary, MAFLD is a common condition that can progress to advanced fibrosis and liver failure if left untreated. Non-invasive tests such as Agile 3+ have emerged as valuable tools for detecting advanced fibrosis in MAFLD patients, providing a more accurate assessment of disease severity and making it a reliable noninvasive test for assessing liver fibrosis in MAFLD patients.


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy