Literature DB >> 18524528

Quantitative liver iron measurement by magnetic resonance imaging: in vitro and in vivo assessment of the liver to muscle signal intensity and the R2* methods.

Johanna M Virtanen1, Markku E Komu, Riitta K Parkkola.   

Abstract

PURPOSE: To evaluate the liver-to-muscle signal intensity and R2* methods to gain a transferable, clinical application for liver iron measurement.
MATERIALS AND METHODS: Sixteen liver phantoms and 33 human subjects were examined using three 1.5-T MRI scanners from two different vendors. Phantom-to-muscle and liver-to-muscle signal intensity ratios were analyzed to determine MRI estimated phantom and hepatic iron concentration (M-PIC and M-HIC, respectively). R2* was calculated for the phantoms and the liver of human subjects. Seven patients' biochemical hepatic iron concentration was obtained.
RESULTS: M-PIC and R2* results of three scanners correlated linearly to phantom iron concentrations (r=0.984 to 0.989 and r=0.972 to 0.981, respectively), and no significant difference between the scanners was found (P=.482 and P=.846, respectively) in vitro. The patients' R2* correlated linearly to M-HIC of the standard scanner (r=0.981). M-HIC values did not differ from those obtained from the biopsy specimens (P=.230). The difference in M-HIC was significant, but the difference in R2* was not significant between the scanners (P<.0001 and P=.505, respectively) in vivo.
CONCLUSION: Both methods, M-HIC and R2*, are reliable iron concentration indicators with linear dependence on iron concentration in vivo and in vitro. The R2* method was found to be comparable among different scanners. Transferability testing is needed for the use of the methods at various scanners.

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Year:  2008        PMID: 18524528     DOI: 10.1016/j.mri.2008.01.028

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


  20 in total

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Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

2.  Comparison of whole liver and small region-of-interest measurements of MRI liver R2* in children with iron overload.

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Journal:  Pediatr Radiol       Date:  2010-03-24

3.  Automated vessel exclusion technique for quantitative assessment of hepatic iron overload by R2*-MRI.

Authors:  Aaryani Tipirneni-Sajja; Ruitian Song; M Beth McCarville; Ralf B Loeffler; Jane S Hankins; Claudia M Hillenbrand
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Review 4.  Liver iron content determination by magnetic resonance imaging.

Authors:  Konstantinos Tziomalos; Vassilios Perifanis
Journal:  World J Gastroenterol       Date:  2010-04-07       Impact factor: 5.742

5.  Serial quantitative neuroimaging of iron in the intracerebral hemorrhage pig model.

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8.  Improved R2* measurement accuracy with absolute SNR truncation and optimal coil combination.

Authors:  Xiaoming Yin; Saurabh Shah; Aggelos K Katsaggelos; Andrew C Larson
Journal:  NMR Biomed       Date:  2010-12       Impact factor: 4.044

Review 9.  Quantification of liver iron with MRI: state of the art and remaining challenges.

Authors:  Diego Hernando; Yakir S Levin; Claude B Sirlin; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2014-03-03       Impact factor: 4.813

10.  Effect of multipeak spectral modeling of fat for liver iron and fat quantification: correlation of biopsy with MR imaging results.

Authors:  Jens-Peter Kühn; Diego Hernando; Alejandro Muñoz del Rio; Matthias Evert; Stephan Kannengiesser; Henry Völzke; Birger Mensel; Ralf Puls; Norbert Hosten; Scott B Reeder
Journal:  Radiology       Date:  2012-08-24       Impact factor: 11.105

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