Literature DB >> 9094074

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

J W Bulte1, G F Miller, J Vymazal, R A Brooks, J A Frank.   

Abstract

Using a non-human primate model of idiopathic hemochromatosis, hemosiderin-induced T2 shortening of the liver was assessed at nine different field strengths over a range of 0.05 to 1.5 Tesla. The 1/T2 values increased linearly with field strength, with all specimens having approximately the same zero-field intercept. The slope of the field increase, termed "field-dependent T2 proton relaxation enhancement (PRE)", appeared to be proportional to the chemically determined tissue iron content, viz. 10.8 s-1T-1(mg Fe/g wet tissue)-1. The correlation between iron content and field-dependent T2 PRE (r = 0.94) was better than the correlation between iron content and 1/T2 values obtained at single field strengths. For livers containing > or = 2 mg Fe/g wet weight, biexponential T2 relaxation behavior emerged at higher field strengths, with the short T2 component (intracellular water) exhibiting a linear dependence of 1/T2 on field, while T2 of the long component (extracellular/sinusoidal water) was nearly field-independent. After maceration of the specimens, all T2 relaxation curves became monoexponential, including those for high iron content at high field strengths. The present data suggest that the use of double-field MR imaging to assess the field-dependent T2 PRE has potential for specific quantification of (liver) tissue iron stores.

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Year:  1997        PMID: 9094074     DOI: 10.1002/mrm.1910370409

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


  30 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.  Separate MRI quantification of dispersed (ferritin-like) and aggregated (hemosiderin-like) storage iron.

Authors:  Jens H Jensen; Haiying Tang; Christina L Tosti; Srirama V Swaminathan; Alvaro Nunez; Kristi Hultman; Kamila U Szulc; Ed X Wu; Daniel Kim; Sujit Sheth; Truman R Brown; Gary M Brittenham
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

3.  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

4.  Improved R2* measurements in myocardial iron overload.

Authors:  Nilesh R Ghugre; Cathleen M Enriquez; Thomas D Coates; Marvin D Nelson; John C Wood
Journal:  J Magn Reson Imaging       Date:  2006-01       Impact factor: 4.813

5.  R2* imaging of transfusional iron burden at 3T and comparison with 1.5T.

Authors:  Pippa Storey; Alexis A Thompson; Christine L Carqueville; John C Wood; R Andrew de Freitas; Cynthia K Rigsby
Journal:  J Magn Reson Imaging       Date:  2007-03       Impact factor: 4.813

6.  Effect of spatial distribution of magnetic dipoles on Lamor frequency distribution and MR Signal decay--a numerical approach under static dephasing conditions.

Authors:  J Pintaske; B Müller-Bierl; F Schick
Journal:  MAGMA       Date:  2006-02-10       Impact factor: 2.310

Review 7.  Magnetic resonance imaging measurement of iron overload.

Authors:  John C Wood
Journal:  Curr Opin Hematol       Date:  2007-05       Impact factor: 3.284

8.  Tracking and Quantification of Magnetically Labeled Stem Cells using Magnetic Resonance Imaging.

Authors:  Forrest Goodfellow; Gregory A Simchick; Luke J Mortensen; Steven L Stice; Qun Zhao
Journal:  Adv Funct Mater       Date:  2016-02-17       Impact factor: 18.808

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

Review 10.  Detection and quantification of magnetically labeled cells by cellular MRI.

Authors:  Wei Liu; Joseph A Frank
Journal:  Eur J Radiol       Date:  2008-11-07       Impact factor: 3.528

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