Literature DB >> 28770394

Evaluation of six-point modified dixon and magnetic resonance spectroscopy for fat quantification: a fat-water-iron phantom study.

Kei Fukuzawa1,2, Tatsuya Hayashi3, Junji Takahashi4,5, Chiharu Yoshihara4,5, Masakatsu Tano4,5, Jun'ichi Kotoku3, Satoshi Saitoh6,7.   

Abstract

This study aimed to evaluate (1) the agreement between the true fat fraction (FF) and proton density FF (PDFF) measured using a six-echo modified Dixon (6mDixon) and magnetic resonance spectroscopy (MRS) and (2) the influence of fat on T2* values. The study was performed using phantoms of varying fat and iron content. Point-resolved spectroscopy (PRESS) and stimulated echo acquisition mode (STEAM) with single-echo (S) and multiecho (M) (PRESS-S, PRESS-M, STEAM-S, and STEAM-M) were used for MRS. In phantoms without iron, the agreement between the true FF and measured PDFF was tested using Bland-Altman analysis. The influence of iron on PDFF was evaluated in phantoms with iron. The relationship between the true FF and T2* value was assessed in phantoms without iron, wherein the mean differences (limits of agreement) for each method were as follows: 6mDixon 2.9% (-2.4 to 8.1%); STEAM-S 3.2% (-9.5 to 16.0%); STEAM-M -0.7% (-6.9 to 5.5%); PRESS-S 8.9% (-14.5 to 32.4%); and PRESS-M -5.8% (-18.3 to 6.7%). In the 20% fat phantoms with iron, as iron increased, PDFFs with STEAM-S, PRESS-S, and PRESS-M were considerably overestimated, while, PDFF with STEAM-M was stable at 0.04-0.2 mM iron concentrations (17.2 and 21.4%, respectively), and PDFF with 6mDixon was reliable at even 0.4 mM iron concentration (24.8%). The T2* value showed a negative correlation with the true FF (r = -0.942, P = 0.005). STEAM-M and 6mDixon were reliable methods of fat quantification in the absence of iron, and the T2* value was shortened by fat.

Entities:  

Keywords:  DIXON; Fat; Iron; Liver; MRS

Mesh:

Substances:

Year:  2017        PMID: 28770394     DOI: 10.1007/s12194-017-0410-9

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  26 in total

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Journal:  Eur Radiol       Date:  2012-05-30       Impact factor: 5.315

3.  Hepatic fat quantification using the two-point Dixon method and fat color maps based on non-alcoholic fatty liver disease activity score.

Authors:  Tatsuya Hayashi; Satoshi Saitoh; Junji Takahashi; Yoshinori Tsuji; Kenji Ikeda; Masahiro Kobayashi; Yusuke Kawamura; Takeshi Fujii; Masafumi Inoue; Tosiaki Miyati; Hiromitsu Kumada
Journal:  Hepatol Res       Date:  2016-07-31       Impact factor: 4.288

4.  R2* estimation using "in-phase" echoes in the presence of fat: the effects of complex spectrum of fat.

Authors:  Diego Hernando; Jens-Peter Kühn; Birger Mensel; Henry Völzke; Ralf Puls; Norbert Hosten; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2012-10-10       Impact factor: 4.813

5.  The incidence and risk factors of hepatocellular carcinoma in patients with nonalcoholic steatohepatitis.

Authors:  Mustafa S Ascha; Ibrahim A Hanouneh; Rocio Lopez; Tarek Abu-Rajab Tamimi; Ariel F Feldstein; Nizar N Zein
Journal:  Hepatology       Date:  2010-06       Impact factor: 17.425

6.  Design and validation of a histological scoring system for nonalcoholic fatty liver disease.

Authors:  David E Kleiner; Elizabeth M Brunt; Mark Van Natta; Cynthia Behling; Melissa J Contos; Oscar W Cummings; Linda D Ferrell; Yao-Chang Liu; Michael S Torbenson; Aynur Unalp-Arida; Matthew Yeh; Arthur J McCullough; Arun J Sanyal
Journal:  Hepatology       Date:  2005-06       Impact factor: 17.425

7.  Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach: prospective validation against MR spectroscopy.

Authors:  Mustafa R Bashir; Xiaodong Zhong; Marcel D Nickel; Ghaneh Fananapazir; Stephan A R Kannengiesser; Berthold Kiefer; Brian M Dale
Journal:  AJR Am J Roentgenol       Date:  2015-02       Impact factor: 3.959

8.  T1 independent, T2* corrected MRI with accurate spectral modeling for quantification of fat: validation in a fat-water-SPIO phantom.

Authors:  Catherine D G Hines; Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Jean H Brittain; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2009-11       Impact factor: 4.813

9.  Quantitative analysis of T2-correction in single-voxel magnetic resonance spectroscopy of hepatic lipid fraction.

Authors:  Puneet Sharma; Diego R Martin; Nashiely Pineda; Qin Xu; Miriam Vos; Frank Anania; Xiaoping Hu
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10.  Comparison of 3 T and 1.5 T for T2* magnetic resonance of tissue iron.

Authors:  Mohammed H Alam; Dominique Auger; Laura-Ann McGill; Gillian C Smith; Taigang He; Cemil Izgi; A John Baksi; Rick Wage; Peter Drivas; David N Firmin; Dudley J Pennell
Journal:  J Cardiovasc Magn Reson       Date:  2016-07-08       Impact factor: 5.364

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  4 in total

1.  Influence of Gd-EOB-DTPA on T1 dependence of the proton density fat fraction using magnetic resonance spectroscopy.

Authors:  Tatsuya Hayashi; Kei Fukuzawa; Hiroshi Kondo; Hiroshi Onodera; Rie Tojo; Shimpei Yano; Tosiaki Miyati; Jun'ichi Kotoku; Takahide Okamoto; Keiko Toyoda; Hiroshi Oba
Journal:  Radiol Phys Technol       Date:  2018-06-01

2.  Influence of Gd-EOB-DTPA on proton density fat fraction using the six-echo Dixon method in 3 Tesla magnetic resonance imaging.

Authors:  Tatsuya Hayashi; Kei Fukuzawa; Hiroshi Kondo; Hiroshi Onodera; Shuji Toyotaka; Rie Tojo; Shimpei Yano; Masakatsu Tano; Tosiaki Miyati; Jun'ichi Kotoku; Takahide Okamoto; Keiko Toyoda; Hiroshi Oba
Journal:  Radiol Phys Technol       Date:  2017-09-11

3.  Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol.

Authors:  Emily C Bush; Aliya Gifford; Crystal L Coolbaugh; Theodore F Towse; Bruce M Damon; E Brian Welch
Journal:  J Vis Exp       Date:  2018-09-07       Impact factor: 1.355

4.  A comparison of emulsifiers for the formation of oil-in-water emulsions: stability of the emulsions within 9 h after production and MR signal properties.

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  4 in total

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