Literature DB >> 21337413

Relaxivity-iron calibration in hepatic iron overload: probing underlying biophysical mechanisms using a Monte Carlo model.

Nilesh R Ghugre1, John C Wood.   

Abstract

Iron overload is a serious condition for patients with β-thalassemia, transfusion-dependent sickle cell anemia, and inherited disorders of iron metabolism. MRI is becoming increasingly important in noninvasive quantification of tissue iron, overcoming the drawbacks of traditional techniques (liver biopsy). Effective transverse relaxation rate (1/effective transverse relaxation time) rises linearly with iron while transverse relaxation rate (1/T2) has a curvilinear relationship in human liver. Although recent work has demonstrated clinically valid estimates of human liver iron, the calibration varies with MRI sequence, field strength, iron chelation therapy, and organ imaged, forcing recalibration in patients. To understand and correct these limitations, a thorough understanding of the underlying biophysics is of critical importance. Toward this end, a Monte Carlo-based approach, using human liver as a "model" tissue system, was used to determine the contribution of particle size and distribution on MRI signal relaxation. Relaxivities were determined for hepatic iron concentrations ranging from 0.5 to 40 mg iron per gram dry tissue weight. Model predictions captured the linear and curvilinear relationship of effective transverse relaxation rate and transverse relaxation rate with hepatic iron concentrations, respectively, and were within in vivo confidence bounds; contact or chemical exchange mechanisms were not necessary. A validated and optimized model will aid understanding and quantification of iron-mediated relaxivity in tissues where biopsy is not feasible (heart and spleen).
Copyright © 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 21337413      PMCID: PMC3065944          DOI: 10.1002/mrm.22657

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  32 in total

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Journal:  Blood       Date:  2004-07-15       Impact factor: 22.113

2.  MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients.

Authors:  John C Wood; Cathleen Enriquez; Nilesh Ghugre; J Michael Tyzka; Susan Carson; Marvin D Nelson; Thomas D Coates
Journal:  Blood       Date:  2005-04-28       Impact factor: 22.113

3.  R2 relaxometry with MRI for the quantification of tissue iron overload in beta-thalassemic patients.

Authors:  Efthymia Alexopoulou; Fotini Stripeli; Panagiotis Baras; Ioannis Seimenis; Antonis Kattamis; Vasilis Ladis; Efstathios Efstathopoulos; Elias N Brountzos; Alexis D Kelekis; Nikolaos L Kelekis
Journal:  J Magn Reson Imaging       Date:  2006-02       Impact factor: 4.813

4.  Hepatic hemosiderosis in non-human primates: quantification of liver iron using different field strengths.

Authors:  J W Bulte; G F Miller; J Vymazal; R A Brooks; J A Frank
Journal:  Magn Reson Med       Date:  1997-04       Impact factor: 4.668

5.  Diffusion coefficients in abdominal organs and hepatic lesions: evaluation with intravoxel incoherent motion echo-planar MR imaging.

Authors:  I Yamada; W Aung; Y Himeno; T Nakagawa; H Shibuya
Journal:  Radiology       Date:  1999-03       Impact factor: 11.105

6.  Mechanisms of tissue-iron relaxivity: nuclear magnetic resonance studies of human liver biopsy specimens.

Authors:  Nilesh R Ghugre; Thomas D Coates; Marvin D Nelson; John C Wood
Journal:  Magn Reson Med       Date:  2005-11       Impact factor: 4.668

7.  Intravascular susceptibility contrast mechanisms in tissues.

Authors:  R P Kennan; J Zhong; J C Gore
Journal:  Magn Reson Med       Date:  1994-01       Impact factor: 4.668

8.  Microscopic susceptibility variation and transverse relaxation: theory and experiment.

Authors:  R M Weisskoff; C S Zuo; J L Boxerman; B R Rosen
Journal:  Magn Reson Med       Date:  1994-06       Impact factor: 4.668

Review 9.  Monitoring long-term efficacy of iron chelation treatment with biomagnetic liver susceptometry.

Authors:  Roland Fischer; Antonio Piga; Paul Harmatz; Peter Nielsen
Journal:  Ann N Y Acad Sci       Date:  2005       Impact factor: 5.691

10.  Cardiac iron determines cardiac T2*, T2, and T1 in the gerbil model of iron cardiomyopathy.

Authors:  John C Wood; Maya Otto-Duessel; Michelle Aguilar; Hanspeter Nick; Marvin D Nelson; Thomas D Coates; Harvey Pollack; Rex Moats
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  36 in total

1.  Toward understanding transverse relaxation in human brain through its field dependence.

Authors:  Fumiyuki Mitsumori; Hidehiro Watanabe; Nobuhiro Takaya; Michael Garwood; Edward J Auerbach; Shalom Michaeli; Silvia Mangia
Journal:  Magn Reson Med       Date:  2011-12-08       Impact factor: 4.668

2.  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 3.  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

4.  Magnetic susceptibility as a B0 field strength independent MRI biomarker of liver iron overload.

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Journal:  Magn Reson Med       Date:  2013-06-25       Impact factor: 4.668

5.  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 6.  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

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

Review 8.  Measurement of liver fat fraction and iron with MRI and MR spectroscopy techniques.

Authors:  Puneet Sharma; Maria Altbach; Jean-Philippe Galons; Bobby Kalb; Diego R Martin
Journal:  Diagn Interv Radiol       Date:  2014 Jan-Feb       Impact factor: 2.630

9.  Integrated quantitative susceptibility and R2 * mapping for evaluation of liver fibrosis: An ex vivo feasibility study.

Authors:  Ramin Jafari; Stefanie J Hectors; Anne K Koehne de González; Pascal Spincemaille; Martin R Prince; Gary M Brittenham; Yi Wang
Journal:  NMR Biomed       Date:  2020-09-22       Impact factor: 4.044

10.  Comparison of brown and white adipose tissues in infants and children with chemical-shift-encoded water-fat MRI.

Authors:  Houchun H Hu; Larry Yin; Patricia C Aggabao; Thomas G Perkins; Jonathan M Chia; Vicente Gilsanz
Journal:  J Magn Reson Imaging       Date:  2013-02-25       Impact factor: 4.813

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