Literature DB >> 23602721

Evaluation of MRI fat fraction in the liver and spine pre and post SPIO infusion.

Joy Liau1, Masoud Shiehmorteza, Olivier M Girard, Claude B Sirlin, Mark Bydder.   

Abstract

This study evaluates the robustness of a magnetic resonance (MR) fat quantification method to changes in R2* caused by an intravenous infusion of superparamagnetic iron oxide (SPIO) contrast agent. The R2* and proton density fat fraction (PDFF) were measured in liver and spine in 14 subjects using an investigational sequence (IDEAL IQ) provided by the MR scanner vendor. Measurements were made before and after SPIO infusion. Results showed SPIO significantly increased R2* in both liver (p=8.8×10(-8)) and spine (p=1.3×10(-2)) but PDFFs were not significantly different in either the liver (p=5.5×10(-1)) or the spine (p=5.6×10(-1)). These results confirm that the IDEAL IQ method of fat quantification is robust to changes in R2*. Published by Elsevier Inc.

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Year:  2013        PMID： 23602721      PMCID： PMC3676690          DOI： 10.1016/j.mri.2013.01.016

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN： 0730-725X            Impact factor:   2.546


  13 in total

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Journal:  Eur J Radiol       Date:  2012-07-06       Impact factor: 3.528

2.  Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging.

Authors:  Scott B Reeder; Angel R Pineda; Zhifei Wen; Ann Shimakawa; Huanzhou Yu; Jean H Brittain; Garry E Gold; Christopher H Beaulieu; Norbert J Pelc
Journal:  Magn Reson Med       Date:  2005-09       Impact factor: 4.668

3.  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

Review 4.  Dixon techniques for water and fat imaging.

Authors:  Jingfei Ma
Journal:  J Magn Reson Imaging       Date:  2008-09       Impact factor: 4.813

5.  Robustness of fat quantification using chemical shift imaging.

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

6.  Accuracy of liver fat quantification at MR imaging: comparison of out-of-phase gradient-echo and fat-saturated fast spin-echo techniques--initial experience.

Authors:  Aliya Qayyum; Jeffrey S Goh; Sanjay Kakar; Benjamin M Yeh; Raphael B Merriman; Fergus V Coakley
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7.  Correlation between liver histology and novel magnetic resonance imaging in adult patients with non-alcoholic fatty liver disease - MRI accurately quantifies hepatic steatosis in NAFLD.

Authors:  Z Permutt; T-A Le; M R Peterson; E Seki; D A Brenner; C Sirlin; R Loomba
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8.  Assessment of liver fat quantification in the presence of iron.

Authors:  Mark Bydder; Masoud Shiehmorteza; Takeshi Yokoo; Sebastian Sugay; Michael S Middleton; Olivier Girard; Michael E Schroeder; Tanya Wolfson; Anthony Gamst; Claude Sirlin
Journal:  Magn Reson Imaging       Date:  2010-04-21       Impact factor: 2.546

9.  ISMRM workshop on fat-water separation: insights, applications and progress in MRI.

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10.  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
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  10 in total

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

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Journal:  Eur Radiol       Date:  2015-09-17       Impact factor: 5.315

2.  Quantification of liver fat in the presence of iron overload.

Authors:  Debra E Horng; Diego Hernando; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2016-07-13       Impact factor: 4.813

Review 3.  A comprehensive literatures update of clinical researches of superparamagnetic resonance iron oxide nanoparticles for magnetic resonance imaging.

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4.  Sources of systematic error in proton density fat fraction (PDFF) quantification in the liver evaluated from magnitude images with different numbers of echoes.

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5.  Repeatability and Image Quality of IDEAL-IQ in Human Lumbar Vertebrae for Fat and Iron Quantification across Acquisition Parameters.

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6.  Mono-exponential and bi-exponential model-based diffusion-weighted MR imaging and IDEAL-IQ sequence for quantitative evaluation of sacroiliitis in patients with ankylosing spondylitis.

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Journal:  Clin Rheumatol       Date:  2018-10-07       Impact factor: 2.980

Review 7.  Quantitative Imaging Biomarkers of NAFLD.

Authors:  Sonja Kinner; Scott B Reeder; Takeshi Yokoo
Journal:  Dig Dis Sci       Date:  2016-02-05       Impact factor: 3.199

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9.  Liver Iron Load Influences Hepatic Fat Fraction in End-Stage Renal Disease Patients on Dialysis: A Proof of Concept Study.

Authors:  Guy Rostoker; Christelle Loridon; Mireille Griuncelli; Clémentine Rabaté; Fanny Lepeytre; Pablo Ureña-Torres; Belkacem Issad; Nasredine Ghali; Yves Cohen
Journal:  EBioMedicine       Date:  2018-11-28       Impact factor: 8.143

10.  Mapping the medullar adiposity of lumbar spine in MRI: A feasibility study.

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Journal:  Heliyon       Date:  2021-01-16
  10 in total

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