Liver fat quantification: where do we stand?
Jitka StarekovaScott B ReederPublished in: Abdominal radiology (New York) (2020)
Excessive intracellular accumulation of triglycerides in the liver, or hepatic steatosis, is a highly prevalent condition affecting approximately one billion people worldwide. In the absence of secondary cause, the term nonalcoholic fatty liver disease (NAFLD) is used. Hepatic steatosis may progress into nonalcoholic steatohepatitis, the more aggressive form of NAFLD, associated with hepatic complications such as fibrosis, liver failure and hepatocellular carcinoma. Hepatic steatosis is associated with metabolic syndrome, cardiovascular disease and represents an independent risk factor for type 2 diabetes, cardiovascular disease and malignancy. Percutaneous liver biopsy is the current reference standard for NAFLD assessment; however, it is an invasive procedure associated with complications and suffers from high sampling variability, impractical for clinical routine and drug efficiency studies. Therefore, noninvasive imaging methods are increasingly used for the diagnosis and monitoring of NAFLD. Among the methods quantifying liver fat, chemical-shift-encoded MRI (CSE-MRI)-based proton density fat-fraction (PDFF) has shown the most promise. MRI-PDFF is increasingly accepted as quantitative imaging biomarker of liver fat that is transforming daily clinical practice and influencing the development of new treatments for NAFLD. Furthermore, CT is an important imaging method for detection of incidental steatosis, and the practical advantages of quantitative ultrasound hold great promise for the future. Understanding the disease burden of NAFLD and the role of imaging may initiate important interventions aimed at avoiding the hepatic and extrahepatic complications of NAFLD. This article reviews clinical burden of NAFLD, and the role of noninvasive imaging techniques for quantification of liver fat.
Keyphrases
- high resolution
- cardiovascular disease
- type diabetes
- magnetic resonance imaging
- adipose tissue
- metabolic syndrome
- contrast enhanced
- clinical practice
- risk factors
- liver failure
- physical activity
- computed tomography
- emergency department
- hepatitis b virus
- insulin resistance
- preterm infants
- diffusion weighted imaging
- magnetic resonance
- machine learning
- mass spectrometry
- coronary artery disease
- big data
- artificial intelligence
- fluorescence imaging
- body mass index
- cardiovascular events
- current status
- weight loss
- loop mediated isothermal amplification