PURPOSE: To assess the accuracy of noninvasive 3.0 T (1)H-magnetic resonance spectroscopy ((1)H-MRS) in an experimental steatosis model for the discrimination of clinically relevant macrovesicular steatosis degrees and to evaluate three different (1)H-MR spectrum-based fat quantification methods. MATERIALS AND METHODS: Steatosis was induced in rats by a methionine/choline-deficient diet for 0-5 weeks. (1)H-MRS measurements of hepatic fat content were compared with histopathological and biochemical steatosis degree. In (1)H-MR spectra, areas under the curve (AUC) of fat (1.3 ppm), water (4.7 ppm), total fat (0.5-5.3 ppm), and total spectrum peaks (0.5-5.3 ppm) were determined and hepatic fat content calculated as follows: [AUC(total fat peaks)/AUC(total peaks)], [AUC(fat)/AUC(fat) + (AUC(water)/0.7)], and [AUC(fat)/AUC(water)]. RESULTS: A significant correlation was found between (1)H-MRS and macrovesicular steatosis (r = 0.932, P < 0.0001) and between (1)H-MRS and total fatty acids (r = 0.935, P < 0.0001). (1)H-MRS accurately distinguished mild from moderate and moderate from severe steatosis. Calculations using [AUC(fat)/AUC(water)] ratio in severe steatotic livers resulted in higher hepatic fat percentages as compared to the other methods due to a decrease in hepatic water content. CONCLUSION: (1)H-MRS quantification of hepatic fat content showed high correlations with histological and biochemical steatosis determination in an experimental steatosis rat model and accurately discriminated between clinically relevant steatosis degrees. These results encourage further application of (1)H-MRS in patients for accurate steatosis assessment.
PURPOSE: To assess the accuracy of noninvasive 3.0 T (1)H-magnetic resonance spectroscopy ((1)H-MRS) in an experimental steatosis model for the discrimination of clinically relevant macrovesicular steatosis degrees and to evaluate three different (1)H-MR spectrum-based fat quantification methods. MATERIALS AND METHODS:Steatosis was induced in rats by a methionine/choline-deficient diet for 0-5 weeks. (1)H-MRS measurements of hepatic fat content were compared with histopathological and biochemical steatosis degree. In (1)H-MR spectra, areas under the curve (AUC) of fat (1.3 ppm), water (4.7 ppm), total fat (0.5-5.3 ppm), and total spectrum peaks (0.5-5.3 ppm) were determined and hepatic fat content calculated as follows: [AUC(total fat peaks)/AUC(total peaks)], [AUC(fat)/AUC(fat) + (AUC(water)/0.7)], and [AUC(fat)/AUC(water)]. RESULTS: A significant correlation was found between (1)H-MRS and macrovesicular steatosis (r = 0.932, P < 0.0001) and between (1)H-MRS and total fatty acids (r = 0.935, P < 0.0001). (1)H-MRS accurately distinguished mild from moderate and moderate from severe steatosis. Calculations using [AUC(fat)/AUC(water)] ratio in severe steatotic livers resulted in higher hepatic fat percentages as compared to the other methods due to a decrease in hepatic water content. CONCLUSION: (1)H-MRS quantification of hepatic fat content showed high correlations with histological and biochemical steatosis determination in an experimental steatosisrat model and accurately discriminated between clinically relevant steatosis degrees. These results encourage further application of (1)H-MRS in patients for accurate steatosis assessment.
Authors: J Massart; M A Robin; F Noury; A Fautrel; P Lettéron; A Bado; P A Eliat; B Fromenty Journal: Br J Pharmacol Date: 2012-03 Impact factor: 8.739
Authors: Z Permutt; T-A Le; M R Peterson; E Seki; D A Brenner; C Sirlin; R Loomba Journal: Aliment Pharmacol Ther Date: 2012-05-03 Impact factor: 8.171
Authors: Houchun Harry Hu; Peter Börnert; Diego Hernando; Peter Kellman; Jingfei Ma; Scott Reeder; Claude Sirlin Journal: Magn Reson Med Date: 2012-06-12 Impact factor: 4.668
Authors: An Tang; Justin Tan; Mark Sun; Gavin Hamilton; Mark Bydder; Tanya Wolfson; Anthony C Gamst; Michael Middleton; Elizabeth M Brunt; Rohit Loomba; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin Journal: Radiology Date: 2013-02-04 Impact factor: 11.105
Authors: Mazen Noureddin; Jessica Lam; Michael R Peterson; Michael Middleton; Gavin Hamilton; Thuy-Anh Le; Ricki Bettencourt; Chris Changchien; David A Brenner; Claude Sirlin; Rohit Loomba Journal: Hepatology Date: 2013-10-17 Impact factor: 17.425
Authors: Gaspard d'Assignies; Ghislaine Fontés; Claude Kauffmann; Martin Latour; Louis Gaboury; Yvan Boulanger; Bernard E Van Beers; Gilles Soulez; Vincent Poitout; An Tang Journal: Metabolism Date: 2013-09-12 Impact factor: 8.694