Literature DB >> 16237138

Hepatic fat fraction: MR imaging for quantitative measurement and display--early experience.

Hero K Hussain1, Thomas L Chenevert, Frank J Londy, Vikas Gulani, Scott D Swanson, Barbara J McKenna, Henry D Appelman, Saroja Adusumilli, Joel K Greenson, Hari S Conjeevaram.   

Abstract

UNLABELLED: The institutional review board approved this HIPAA-compliant study. After all five patients with nonalcoholic fatty liver disease signed a consent, they underwent magnetic resonance (MR) imaging for hepatic fat quantification. The purpose of this study was to develop a fast and accurate method to acquire and display quantitative maps of the percentage of hepatic fat. In-phase and out-of-phase gradient-echo MR imaging was performed with dual flip angles (70 degrees, 20 degrees) to resolve ambiguity of the dominant constituent. T2* corrections were also estimated and applied to generate color-coded maps of the estimated percentage of hepatic fat. MR imaging results were compared with biopsy results in two of five patients, and the technique was validated qualitatively and quantitatively with a water-oil phantom. Results of the phantom study confirmed that the dual-flip angle algorithm can be used to correctly identify the dominant constituent, allowing depiction of 0%-100% of fat content. The estimated liver fat fraction was comparable to quantitative fat measurements at biopsy in both patients (MR imaging, 18.3% +/- 2.8 [standard deviation] and 28.6% +/- 2.4, vs quantitative histopathologic analysis, 11.2% and 28.5%, respectively). SUPPLEMENTAL MATERIAL: radiology.rsnajnls.org/cgi/content/full/2373041639/DC1 RSNA, 2005

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Year:  2005        PMID: 16237138     DOI: 10.1148/radiol.2373041639

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  101 in total

Review 1.  Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy.

Authors:  Scott B Reeder; Irene Cruite; Gavin Hamilton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

2.  Fat quantification by use of phase change in dual-echo magnetic resonance imaging.

Authors:  Yoshiyuki Ishimori; Masahiko Monma; Hitoshi Sakurai; Kouichi Iwai; Nobuyoshi Ishikawa
Journal:  Radiol Phys Technol       Date:  2007-11-30

Review 3.  Quantification of liver fat with magnetic resonance imaging.

Authors:  Scott B Reeder; Claude B Sirlin
Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

4.  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

5.  Effect of gadolinium on hepatic fat quantification using multi-echo reconstruction technique with T2* correction and estimation.

Authors:  Mingmei Ge; Jing Zhang; Bing Wu; Zhiqin Liu; Hai Song; Xiangfeng Meng; Xinhuai Wu
Journal:  Eur Radiol       Date:  2015-09-17       Impact factor: 5.315

6.  Z-spectrum appearance and interpretation in the presence of fat: Influence of acquisition parameters.

Authors:  Shu Zhang; Jochen Keupp; Xinzeng Wang; Ivan Dimitrov; Ananth J Madhuranthakam; Robert E Lenkinski; Elena Vinogradov
Journal:  Magn Reson Med       Date:  2017-09-01       Impact factor: 4.668

7.  Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis.

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

Review 8.  The effects of cancer chemotherapy on liver imaging.

Authors:  Philip J A Robinson
Journal:  Eur Radiol       Date:  2009-02-24       Impact factor: 5.315

9.  Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling.

Authors:  Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Ethan Brodsky; Jean H Brittain; Scott B Reeder
Journal:  Magn Reson Med       Date:  2008-11       Impact factor: 4.668

10.  Liver fat volume fraction quantification with fat and water T1 and T 2* estimation and accounting for NMR multiple components in patients with chronic liver disease at 1.5 and 3.0 T.

Authors:  Benjamin Leporq; Hélène Ratiney; Frank Pilleul; Olivier Beuf
Journal:  Eur Radiol       Date:  2013-04-16       Impact factor: 5.315

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