Literature DB >> 19629985

Accurate liver T2 measurement of iron overload: a simulations investigation and in vivo study.

Marine Beaumont1, Isaac Odame, Paul S Babyn, Logi Vidarsson, Melanie Kirby-Allen, Hai-Ling Margaret Cheng.   

Abstract

PURPOSE: To investigate the accuracy of T 2 liver iron quantification using different curve-fitting models under varying acquisition conditions, and to compare in iron-overloaded patients the reliability of rapid T 2 measurements against approved and slower T(2) protocols.
MATERIALS AND METHODS: Simulations were conducted to assess the influence of various factors on the accuracy of T 2 measurement: curve-fitting model, signal-to-noise ratio (SNR), and echo time (TE) spacing. Fifty-four iron-overloaded pediatric patients were assessed using a standard T(2) and two variations of T 2 acquisitions. In both simulations and in vivo data, three analysis models were evaluated: monoexponential, constant offset, and truncated.
RESULTS: Simulations show the truncated model provides the best accuracy but is susceptible to underestimating high iron species under low SNR or high minimum TE. In contrast, the offset model tends to overestimate but maintains the most reliable measurements across the relevant range of iron levels. Furthermore, a much lower SNR can be tolerated if the acquisition uses a low minimum TE. In vivo results confirm theoretical findings and show that T 2 measurements can be as reliable as those from approved and slower T(2) protocols.
CONCLUSION: Guidelines are provided on choosing an appropriate model under specific noise conditions and acquisition schemes to ensure accurate and rapid T2 liver iron quantification. (c) 2009 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2009        PMID: 19629985     DOI: 10.1002/jmri.21835

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  15 in total

Review 1.  Magnetic resonance imaging quantification of liver iron.

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

2.  Fast quantitative parameter maps without fitting: Integration yields accurate mono-exponential signal decay rates.

Authors:  Ruitian Song; Ralf B Loeffler; Joseph L Holtrop; M Beth McCarville; Jane S Hankins; Claudia M Hillenbrand
Journal:  Magn Reson Med       Date:  2017-10-30       Impact factor: 4.668

3.  Cardiac R2* values are independent of the image analysis approach employed.

Authors:  Antonella Meloni; Hugh Young Rienhoff; Amber Jones; Alessia Pepe; Massimo Lombardi; John C Wood
Journal:  Magn Reson Med       Date:  2013-10-01       Impact factor: 4.668

4.  A USPIO doped gel phantom for R2* relaxometry.

Authors:  Gregory C Brown; Gary J Cowin; Graham J Galloway
Journal:  MAGMA       Date:  2016-07-19       Impact factor: 2.310

5.  Noninvasive and quantitative assessment of in vivo angiogenesis using RGD-based fluorescence imaging of subcutaneous sponges.

Authors:  Michelle Keramidas; Véronique Josserand; Jean-Jacques Feige; Jean-Luc Coll
Journal:  Mol Imaging Biol       Date:  2013-06       Impact factor: 3.488

6.  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

7.  Hepatic magnetic resonance imaging with T2* mapping of ovariectomized rats: correlation between iron overload and postmenopausal osteoporosis.

Authors:  Lingshan Chen; Zhengqiu Zhu; Xingui Peng; Yuancheng Wang; Yaling Wang; Min Chen; Qi Wang; Jiyang Jin
Journal:  Eur Radiol       Date:  2014-04-28       Impact factor: 5.315

8.  The use of appropriate calibration curves corrects for systematic differences in liver R2* values measured using different software packages.

Authors:  Antonella Meloni; Hugh Y Rienhoff; Amber Jones; Alessia Pepe; Massimo Lombardi; John C Wood
Journal:  Br J Haematol       Date:  2013-03-18       Impact factor: 6.998

9.  Does fat suppression via chemically selective saturation affect R2*-MRI for transfusional iron overload assessment? A clinical evaluation at 1.5T and 3T.

Authors:  Axel J Krafft; Ralf B Loeffler; Ruitian Song; Xiao Bian; M Beth McCarville; Jane S Hankins; Claudia M Hillenbrand
Journal:  Magn Reson Med       Date:  2015-08-26       Impact factor: 4.668

10.  Comparison between different software programs and post-processing techniques for the MRI quantification of liver iron concentration in thalassemia patients.

Authors:  Lorenzo Bacigalupo; Francesco Paparo; Daniele Zefiro; Carlo Maria Viberti; Luca Cevasco; Barbara Gianesin; Valeria Maria Pinto; Gian Andrea Rollandi; John C Wood; Gian Luca Forni
Journal:  Radiol Med       Date:  2016-06-22       Impact factor: 3.469

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