Literature DB >> 33025153

Liver fat quantification: where do we stand?

Jitka Starekova1, Scott B Reeder2,3,4,5,6.   

Abstract

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.

Entities:  

Keywords:  Hepatic steatosis; Liver fat quantification; Magnetic resonance imaging; NAFLD; NASH; Nonalcoholic fatty liver disease; Nonalcoholic steatohepatitis; Noninvasive quantitative biomarker

Mesh:

Year:  2020        PMID: 33025153      PMCID: PMC7700836          DOI: 10.1007/s00261-020-02783-1

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  82 in total

1.  High-risk coronary plaque at coronary CT angiography is associated with nonalcoholic fatty liver disease, independent of coronary plaque and stenosis burden: results from the ROMICAT II trial.

Authors:  Stefan B Puchner; Michael T Lu; Thomas Mayrhofer; Ting Liu; Amit Pursnani; Brian B Ghoshhajra; Quynh A Truong; Stephen D Wiviott; Jerome L Fleg; Udo Hoffmann; Maros Ferencik
Journal:  Radiology       Date:  2014-11-04       Impact factor: 11.105

Review 2.  NAFLD: a multisystem disease.

Authors:  Christopher D Byrne; Giovanni Targher
Journal:  J Hepatol       Date:  2015-04       Impact factor: 25.083

Review 3.  Non-alcoholic fatty liver disease and its relationship with cardiovascular disease and other extrahepatic diseases.

Authors:  Leon A Adams; Quentin M Anstee; Herbert Tilg; Giovanni Targher
Journal:  Gut       Date:  2017-03-17       Impact factor: 23.059

4.  Steatosis accelerates the progression of liver damage of chronic hepatitis C patients and correlates with specific HCV genotype and visceral obesity.

Authors:  L E Adinolfi; M Gambardella; A Andreana; M F Tripodi ; R Utili; G Ruggiero
Journal:  Hepatology       Date:  2001-06       Impact factor: 17.425

Review 5.  Noninvasive, Quantitative Assessment of Liver Fat by MRI-PDFF as an Endpoint in NASH Trials.

Authors:  Cyrielle Caussy; Scott B Reeder; Claude B Sirlin; Rohit Loomba
Journal:  Hepatology       Date:  2018-08       Impact factor: 17.425

Review 6.  Developmental origins of NAFLD: a womb with a clue.

Authors:  Stephanie R Wesolowski; Karim C El Kasmi; Karen R Jonscher; Jacob E Friedman
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2016-10-26       Impact factor: 46.802

7.  Biochemical analysis of hepatic lipid in alcoholic and diabetic and control subjects.

Authors:  S R Cairns; T J Peters
Journal:  Clin Sci (Lond)       Date:  1983-12       Impact factor: 6.124

Review 8.  Lipid droplets and liver disease: from basic biology to clinical implications.

Authors:  Nina L Gluchowski; Michel Becuwe; Tobias C Walther; Robert V Farese
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2017-04-21       Impact factor: 46.802

Review 9.  Clinical epidemiology and disease burden of nonalcoholic fatty liver disease.

Authors:  Brandon J Perumpail; Muhammad Ali Khan; Eric R Yoo; George Cholankeril; Donghee Kim; Aijaz Ahmed
Journal:  World J Gastroenterol       Date:  2017-12-21       Impact factor: 5.742

Review 10.  Non-alcoholic fatty liver disease: An expanded review.

Authors:  Mark Benedict; Xuchen Zhang
Journal:  World J Hepatol       Date:  2017-06-08
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  5 in total

Review 1.  Magnetic Resonance Imaging of Liver Fibrosis, Fat, and Iron.

Authors:  Christopher L Welle; Michael C Olson; Scott B Reeder; Sudhakar K Venkatesh
Journal:  Radiol Clin North Am       Date:  2022-07-15       Impact factor: 1.947

2.  Point-of-care magnetic resonance technology to measure liver fat: Phantom and first-in-human pilot study.

Authors:  Mark Barahman; Eduardo Grunvald; Pablo J Prado; Alejandro Bussandri; Walter C Henderson; Tanya Wolfson; Kathryn J Fowler; Claude B Sirlin
Journal:  Magn Reson Med       Date:  2022-05-25       Impact factor: 3.737

3.  Computed Tomography Image Analysis of Body Fat Based on Multi-Image Information.

Authors:  Wei Zang; Fengrui Zhu; Yang Yu
Journal:  Biomed Res Int       Date:  2022-06-20       Impact factor: 3.246

4.  How to select the quantitative magnetic resonance technique for subjects with fatty liver: A systematic review.

Authors:  You-Wei Li; Yang Jiao; Na Chen; Qiang Gao; Yu-Kun Chen; Yuan-Fang Zhang; Qi-Ping Wen; Zong-Ming Zhang
Journal:  World J Clin Cases       Date:  2022-09-06       Impact factor: 1.534

Review 5.  Magnetic Resonance Spectroscopy of Hepatic Fat from Fundamental to Clinical Applications.

Authors:  Duanghathai Pasanta; Khin Thandar Htun; Jie Pan; Montree Tungjai; Siriprapa Kaewjaeng; Hongjoo Kim; Jakrapong Kaewkhao; Suchart Kothan
Journal:  Diagnostics (Basel)       Date:  2021-05-07
  5 in total

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