Literature DB >> 22025886

Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy.

Scott B Reeder1, Irene Cruite, Gavin Hamilton, Claude B Sirlin.   

Abstract

Hepatic steatosis is characterized by abnormal and excessive accumulation of lipids within hepatocytes. It is an important feature of diffuse liver disease, and the histological hallmark of non-alcoholic fatty liver disease (NAFLD). Other conditions associated with steatosis include alcoholic liver disease, viral hepatitis, HIV and genetic lipodystrophies, cystic fibrosis liver disease, and hepatotoxicity from various therapeutic agents. Liver biopsy, the current clinical gold standard for assessment of liver fat, is invasive and has sampling errors, and is not optimal for screening, monitoring, clinical decision making, or well-suited for many types of research studies. Non-invasive methods that accurately and objectively quantify liver fat are needed. Ultrasound (US) and computed tomography (CT) can be used to assess liver fat but have limited accuracy as well as other limitations. Magnetic resonance (MR) techniques can decompose the liver signal into its fat and water signal components and therefore assess liver fat more directly than CT or US. Most magnetic resonance (MR) techniques measure the signal fat-fraction (the fraction of the liver MR signal attributable to liver fat), which may be confounded by numerous technical and biological factors and may not reliably reflect fat content. By addressing the factors that confound the signal fat-fraction, advanced MR techniques measure the proton density fat-fraction (the fraction of the liver proton density attributable to liver fat), which is a fundamental tissue property and a direct measure of liver fat content. These advanced techniques show promise for accurate fat quantification and are likely to be commercially available soon.

Entities:  

Year:  2011        PMID: 22025886      PMCID: PMC3177109          DOI: 10.1002/jmri.22775

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  92 in total

1.  Fat quantification using three-point dixon technique: in vitro validation.

Authors:  Arzu Kovanlikaya; Celil Guclu; Chirag Desai; Ricardo Becerra; Vicente Gilsanz
Journal:  Acad Radiol       Date:  2005-05       Impact factor: 3.173

2.  Relaxation effects in the quantification of fat using gradient echo imaging.

Authors:  Mark Bydder; Takeshi Yokoo; Gavin Hamilton; Michael S Middleton; Alyssa D Chavez; Jeffrey B Schwimmer; Joel E Lavine; Claude B Sirlin
Journal:  Magn Reson Imaging       Date:  2008-02-21       Impact factor: 2.546

3.  Non-invasive quantification of hepatic fat fraction by fast 1.0, 1.5 and 3.0 T MR imaging.

Authors:  Sebastian Schuchmann; Christiane Weigel; Lothar Albrecht; Michael Kirsch; Arne Lemke; Gerd Lorenz; Rolf Warzok; Norbert Hosten
Journal:  Eur J Radiol       Date:  2007-01-30       Impact factor: 3.528

4.  Water-fat separation with IDEAL gradient-echo imaging.

Authors:  Scott B Reeder; Charles A McKenzie; Angel R Pineda; Huanzhou Yu; Ann Shimakawa; Anja C Brau; Brian A Hargreaves; Garry E Gold; Jean H Brittain
Journal:  J Magn Reson Imaging       Date:  2007-03       Impact factor: 4.813

5.  Nonalcoholic steatohepatitis: a proposal for grading and staging the histological lesions.

Authors:  E M Brunt; C G Janney; A M Di Bisceglie; B A Neuschwander-Tetri; B R Bacon
Journal:  Am J Gastroenterol       Date:  1999-09       Impact factor: 10.864

6.  Rapid water and lipid imaging with T2 mapping using a radial IDEAL-GRASE technique.

Authors:  Zhiqiang Li; Christian Graff; Arthur F Gmitro; Scott W Squire; Ali Bilgin; Eric K Outwater; Maria I Altbach
Journal:  Magn Reson Med       Date:  2009-06       Impact factor: 4.668

7.  Fatty liver. Chemical shift phase-difference and suppression magnetic resonance imaging techniques in animals, phantoms, and humans.

Authors:  D G Mitchell; I Kim; T S Chang; S Vinitski; P M Consigny; S A Saponaro; S M Ehrlich; M D Rifkin; R Rubin
Journal:  Invest Radiol       Date:  1991-12       Impact factor: 6.016

8.  Risk factors for primary dysfunction after liver transplantation--a multivariate analysis.

Authors:  R J Ploeg; A M D'Alessandro; S J Knechtle; M D Stegall; J D Pirsch; R M Hoffmann; T Sasaki; H W Sollinger; F O Belzer; M Kalayoglu
Journal:  Transplantation       Date:  1993-04       Impact factor: 4.939

9.  The variation of pathological changes in the liver evaluated by double biopsies.

Authors:  P Baunsgaard; G C Sanchez; C J Lundborg
Journal:  Acta Pathol Microbiol Scand A       Date:  1979-01

10.  Measurement of hepatic lipid: high-speed T2-corrected multiecho acquisition at 1H MR spectroscopy--a rapid and accurate technique.

Authors:  Nashiely Pineda; Puneet Sharma; Qin Xu; Xiaoping Hu; Miriam Vos; Diego R Martin
Journal:  Radiology       Date:  2009-06-22       Impact factor: 11.105

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  174 in total

Review 1.  Advanced MRI Techniques for Muscle Imaging.

Authors:  Vivek Kalia; Doris G Leung; Darryl B Sneag; Filippo Del Grande; John A Carrino
Journal:  Semin Musculoskelet Radiol       Date:  2017-08-03       Impact factor: 1.777

2.  Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration.

Authors:  Scott B Reeder; Houchun H Hu; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2012-07-06       Impact factor: 4.813

3.  Pancreatic triacylglycerol distribution in type 2 diabetes. Reply to Hollingsworth K. G., Al Mrabeh A., Steven S. et al [letter].

Authors:  Paul Begovatz; Alessandra Bierwagen; Jesper Lundbom; Michael Roden
Journal:  Diabetologia       Date:  2015-09-23       Impact factor: 10.122

4.  The effect of water suppression on the hepatic lipid quantification, as assessed by the LCModel, in a preclinical and clinical scenario.

Authors:  Amandine Coum; Fanny Noury; Elise Bannier; Karima Begriche; Bernard Fromenty; Yves Gandon; Hervé Saint-Jalmes; Giulio Gambarota
Journal:  MAGMA       Date:  2015-11-21       Impact factor: 2.310

5.  Hepatic fat quantification using the proton density fat fraction (PDFF): utility of free-drawn-PDFF with a large coverage area.

Authors:  Kun Young Kim; Ji Soo Song; Stephan Kannengiesser; Young Min Han
Journal:  Radiol Med       Date:  2015-05-08       Impact factor: 3.469

6.  Free-breathing quantification of hepatic fat in healthy children and children with nonalcoholic fatty liver disease using a multi-echo 3-D stack-of-radial MRI technique.

Authors:  Tess Armstrong; Karrie V Ly; Smruthi Murthy; Shahnaz Ghahremani; Grace Hyun J Kim; Kara L Calkins; Holden H Wu
Journal:  Pediatr Radiol       Date:  2018-05-04

7.  MR quantitative biomarkers of non-alcoholic fatty liver disease: technical evolutions and future trends.

Authors:  Guido Ligabue; Giulia Besutti; Riccardo Scaglioni; Chiara Stentarelli; Giovanni Guaraldi
Journal:  Quant Imaging Med Surg       Date:  2013-08

8.  Non-alcoholic fatty liver disease-associated hepatocellular carcinoma: effect of hepatic steatosis on major hepatocellular carcinoma features at MRI.

Authors:  Scott M Thompson; Ishan Garg; Eric C Ehman; Shannon P Sheedy; Candice A Bookwalter; Rickey E Carter; Lewis R Roberts; Sudhakar K Venkatesh
Journal:  Br J Radiol       Date:  2018-08-29       Impact factor: 3.039

9.  Contributions of Magnetic Resonance Imaging to Gastroenterological Practice: MRIs for GIs.

Authors:  Christopher G Roth; Dina Halegoua-De Marzio; Flavius F Guglielmo
Journal:  Dig Dis Sci       Date:  2018-05       Impact factor: 3.199

10.  Pilot study on longitudinal change in pancreatic proton density fat fraction during a weight-loss surgery program in adults with obesity.

Authors:  Yesenia Covarrubias; Kathryn J Fowler; Adrija Mamidipalli; Gavin Hamilton; Tanya Wolfson; Olof Dahlqvist Leinhard; Garth Jacobsen; Santiago Horgan; Jeffrey B Schwimmer; Scott B Reeder; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2019-01-30       Impact factor: 4.813

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