Literature DB >> 24452753

R2 and R2* are equally effective in evaluating chronic response to iron chelation.

John C Wood1, Pinggao Zhang, Hugh Rienhoff, Walid Abi-Saab, Ellis Neufeld.   

Abstract

MRI relaxometry (R2, R2*) has generally replaced liver biopsy for estimation of liver iron stores in response to iron chelation, but there have been no longitudinal studies comparing R2 and R2* techniques. We use R2 and R2* liver iron concentration (LIC) estimates, transfusional iron burdens, and drug compliance data to calculate iron chelation efficiency (ICE) in patients undergoing a Phase II trial of SPD602. Fifty-one patients underwent a baseline examination, 39 patients completed 1 year, and 26 patients completed 2 years. Baseline LICR2 and LICR2* estimates were unbiased, but had limits of agreement exceeding 50%, suggesting that these techniques cannot be interchanged with one another in the same patient. However, ICE estimates across the two techniques compared more favorably, with r(2) values reaching 0.89 at 2 years. 95 confidence intervals for efficiency estimates were 0.0 ± 4.1%. These data indicate that clinical trial and clinical effectiveness data calculated using LICR2 and LICR2* estimates can be compared to one another, even though LIC estimates may be disparate on cross-sectional analysis. While the choice of MRI assessment technique for clinical trials and for clinical management depends on many logistical considerations, one can have confidence comparing conclusions on clinical effectiveness.
Copyright © 2014 Wiley Periodicals, Inc.

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Year:  2014        PMID: 24452753     DOI: 10.1002/ajh.23673

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  15 in total

1.  Sensitivity of quantitative relaxometry and susceptibility mapping to microscopic iron distribution.

Authors:  Timothy J Colgan; Gesine Knobloch; Scott B Reeder; Diego Hernando
Journal:  Magn Reson Med       Date:  2019-08-18       Impact factor: 4.668

Review 2.  Use of magnetic resonance imaging to monitor iron overload.

Authors:  John C Wood
Journal:  Hematol Oncol Clin North Am       Date:  2014-08       Impact factor: 3.722

3.  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

4.  Assessment of MR-based R2* and quantitative susceptibility mapping for the quantification of liver iron concentration in a mouse model at 7T.

Authors:  Gregory Simchick; Zhi Liu; Tamas Nagy; May Xiong; Qun Zhao
Journal:  Magn Reson Med       Date:  2018-03-25       Impact factor: 4.668

Review 5.  MR imaging assessment and quantification of liver iron.

Authors:  Manuela França; João Gomes Carvalho
Journal:  Abdom Radiol (NY)       Date:  2020-11

6.  Characterizing a short T2 * signal component in the liver using ultrashort TE chemical shift-encoded MRI at 1.5T and 3.0T.

Authors:  Ante Zhu; Diego Hernando; Kevin M Johnson; Scott B Reeder
Journal:  Magn Reson Med       Date:  2019-07-03       Impact factor: 4.668

Review 7.  Estimating tissue iron burden: current status and future prospects.

Authors:  John C Wood
Journal:  Br J Haematol       Date:  2015-03-12       Impact factor: 6.998

8.  Ultrashort echo time imaging for quantification of hepatic iron overload: Comparison of acquisition and fitting methods via simulations, phantoms, and in vivo data.

Authors:  Aaryani Tipirneni-Sajja; Ralf B Loeffler; Axel J Krafft; Andrea N Sajewski; Robert J Ogg; Jane S Hankins; Claudia M Hillenbrand
Journal:  J Magn Reson Imaging       Date:  2018-10-25       Impact factor: 4.813

9.  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

10.  Quantitative susceptibility mapping in the abdomen as an imaging biomarker of hepatic iron overload.

Authors:  Samir D Sharma; Diego Hernando; Debra E Horng; Scott B Reeder
Journal:  Magn Reson Med       Date:  2014-09-08       Impact factor: 4.668

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