PURPOSE: To assess the effects of intravenous gadolinium (Gd) and flip angle (FA) on liver fat quantification by opposed-phase (OP) and in-phase (IP) imaging. MATERIALS AND METHODS: Our Institutional Review Board (IRB) approved this Health Insurance Portability and Accountability Act (HIPAA)-compliant, retrospective, clinical study. We identified 79 patients in whom abdominal OP and IP gradient-echoes were obtained at 1.5T before and after Gd administration. All 79 patients were imaged at high FA (> or =70 degrees ); 57 were also imaged at low FA (< or =20 degrees ). Fat signal fraction (FSF) was calculated from pre- and post-Gd liver images for each subject and FA using the formula, FSF = (S(IP) - S(OP))/2S(IP), where S(IP) and S(OP) are the OP and IP signal intensities, respectively. The dataset pairs (pre-Gd vs. post-Gd; high-FA vs. low-FA) were compared using linear regression analysis. RESULTS: Before Gd, FSF was significantly greater at high FA than at low FA, with regression parameters (slope/intercept) of 1.27*/0.02*, where * indicates P value <0.01. After Gd, FSF was similar at high and low FA (0.99/-0.00). Gd administration caused an FA-dependent reduction in FSF, larger at high FA (0.68*/-0.03*) than at low FA (0.94, -0.01*). CONCLUSION: FSF by OP-IP imaging is highly dependent on FA before Gd, but this dependency is eliminated after administration of Gd. Gd appears to minimize the effect of T1-weighting and may improve the accuracy of liver fat quantification. (c) 2008 Wiley-Liss, Inc.
PURPOSE: To assess the effects of intravenous gadolinium (Gd) and flip angle (FA) on liver fat quantification by opposed-phase (OP) and in-phase (IP) imaging. MATERIALS AND METHODS: Our Institutional Review Board (IRB) approved this Health Insurance Portability and Accountability Act (HIPAA)-compliant, retrospective, clinical study. We identified 79 patients in whom abdominal OP and IP gradient-echoes were obtained at 1.5T before and after Gd administration. All 79 patients were imaged at high FA (> or =70 degrees ); 57 were also imaged at low FA (< or =20 degrees ). Fat signal fraction (FSF) was calculated from pre- and post-Gd liver images for each subject and FA using the formula, FSF = (S(IP) - S(OP))/2S(IP), where S(IP) and S(OP) are the OP and IP signal intensities, respectively. The dataset pairs (pre-Gd vs. post-Gd; high-FA vs. low-FA) were compared using linear regression analysis. RESULTS: Before Gd, FSF was significantly greater at high FA than at low FA, with regression parameters (slope/intercept) of 1.27*/0.02*, where * indicates P value <0.01. After Gd, FSF was similar at high and low FA (0.99/-0.00). Gd administration caused an FA-dependent reduction in FSF, larger at high FA (0.68*/-0.03*) than at low FA (0.94, -0.01*). CONCLUSION: FSF by OP-IP imaging is highly dependent on FA before Gd, but this dependency is eliminated after administration of Gd. Gd appears to minimize the effect of T1-weighting and may improve the accuracy of liver fat quantification. (c) 2008 Wiley-Liss, Inc.
Authors: Michael S Middleton; Elhamy R Heba; Catherine A Hooker; Mustafa R Bashir; Kathryn J Fowler; Kumar Sandrasegaran; Elizabeth M Brunt; David E Kleiner; Edward Doo; Mark L Van Natta; Joel E Lavine; Brent A Neuschwander-Tetri; Arun Sanyal; Rohit Loomba; Claude B Sirlin Journal: Gastroenterology Date: 2017-06-15 Impact factor: 22.682
Authors: Katie H Hansen; Michael E Schroeder; Gavin Hamilton; Claude B Sirlin; Mark Bydder Journal: Magn Reson Imaging Date: 2011-11-03 Impact factor: 2.546
Authors: Mustafa R Bashir; Tanya Wolfson; Anthony C Gamst; Kathryn J Fowler; Michael Ohliger; Shetal N Shah; Adina Alazraki; Andrew T Trout; Cynthia Behling; Daniela S Allende; Rohit Loomba; Arun Sanyal; Jeffrey Schwimmer; Joel E Lavine; Wei Shen; James Tonascia; Mark L Van Natta; Adrija Mamidipalli; Jonathan Hooker; Kris V Kowdley; Michael S Middleton; Claude B Sirlin Journal: J Magn Reson Imaging Date: 2018-10-14 Impact factor: 4.813
Authors: Mark Bydder; Gavin Hamilton; Ludovic de Rochefort; Ajinkya Desai; Elhamy R Heba; Rohit Loomba; Jeffrey B Schwimmer; Nikolaus M Szeverenyi; Claude B Sirlin Journal: NMR Biomed Date: 2017-11-12 Impact factor: 4.044
Authors: Takeshi Yokoo; Masoud Shiehmorteza; Gavin Hamilton; Tanya Wolfson; Michael E Schroeder; Michael S Middleton; Mark Bydder; Anthony C Gamst; Yuko Kono; Alexander Kuo; Heather M Patton; Santiago Horgan; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin Journal: Radiology Date: 2011-01-06 Impact factor: 11.105
Authors: Takeshi Yokoo; Mark Bydder; Gavin Hamilton; Michael S Middleton; Anthony C Gamst; Tanya Wolfson; Tarek Hassanein; Heather M Patton; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin Journal: Radiology Date: 2009-02-12 Impact factor: 11.105
Authors: Paul M Manning; Gavin Hamilton; Kang Wang; Chulhyun Park; Jonathan C Hooker; Tanya Wolfson; Anthony Gamst; William M Haufe; Alex N Schlein; Michael S Middleton; Claude B Sirlin Journal: Abdom Radiol (NY) Date: 2017-03