Literature DB >> 23591072

Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging.

Weili Zheng1, Helen Nichol, Saifeng Liu, Yu-Chung N Cheng, E Mark Haacke.   

Abstract

Measuring iron content in the brain has important implications for a number of neurodegenerative diseases. Quantitative susceptibility mapping (QSM), derived from magnetic resonance images, has been used to measure total iron content in vivo and in post mortem brain. In this paper, we show how magnetic susceptibility from QSM correlates with total iron content measured by X-ray fluorescence (XRF) imaging and by inductively coupled plasma mass spectrometry (ICPMS). The relationship between susceptibility and ferritin iron was estimated at 1.10±0.08 ppb susceptibility per μg iron/g wet tissue, similar to that of iron in fixed (frozen/thawed) cadaveric brain and previously published data from unfixed brains. We conclude that magnetic susceptibility can provide a direct and reliable quantitative measurement of iron content and that it can be used clinically at least in regions with high iron content.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23591072      PMCID: PMC3843006          DOI: 10.1016/j.neuroimage.2013.04.022

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  59 in total

Review 1.  Imaging iron stores in the brain using magnetic resonance imaging.

Authors:  E Mark Haacke; Norman Y C Cheng; Michael J House; Qiang Liu; Jaladhar Neelavalli; Robert J Ogg; Asadullah Khan; Muhammad Ayaz; Wolff Kirsch; Andre Obenaus
Journal:  Magn Reson Imaging       Date:  2005-01       Impact factor: 2.546

2.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

3.  Quantifying effective magnetic moments of narrow cylindrical objects in MRI.

Authors:  Yu-Chung N Cheng; Ching-Yi Hsieh; Jaladhar Neelavalli; E Mark Haacke
Journal:  Phys Med Biol       Date:  2009-11-04       Impact factor: 3.609

4.  Correlation of proton transverse relaxation rates (R2) with iron concentrations in postmortem brain tissue from alzheimer's disease patients.

Authors:  Michael J House; Timothy G St Pierre; Kris V Kowdley; Thomas Montine; James Connor; John Beard; Jose Berger; Narendra Siddaiah; Eric Shankland; Lee-Way Jin
Journal:  Magn Reson Med       Date:  2007-01       Impact factor: 4.668

5.  Assessment of relative brain iron concentrations using T2-weighted and T2*-weighted MRI at 3 Tesla.

Authors:  R J Ordidge; J M Gorell; J C Deniau; R A Knight; J A Helpern
Journal:  Magn Reson Med       Date:  1994-09       Impact factor: 4.668

6.  Imaging of stroke: a comparison between X-ray fluorescence and magnetic resonance imaging methods.

Authors:  Weili Zheng; E Mark Haacke; Samuel M Webb; Helen Nichol
Journal:  Magn Reson Imaging       Date:  2012-07-11       Impact factor: 2.546

7.  Brain iron detected by SWI high pass filtered phase calibrated with synchrotron X-ray fluorescence.

Authors:  Karla Hopp; Bogdan F Gh Popescu; Richard P E McCrea; Sheri L Harder; Christopher A Robinson; Mark E Haacke; Ali H Rajput; Alex Rajput; Helen Nichol
Journal:  J Magn Reson Imaging       Date:  2010-06       Impact factor: 4.813

8.  Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain.

Authors:  E Mark Haacke; Muhammad Ayaz; Asadullah Khan; Elena S Manova; Bharani Krishnamurthy; Lakshman Gollapalli; Carlo Ciulla; I Kim; Floyd Petersen; Wolff Kirsch
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

9.  MRI assessment of basal ganglia iron deposition in Parkinson's disease.

Authors:  Lauren I Wallis; Martyn N J Paley; Jacqueline M Graham; Richard A Grünewald; Emma L Wignall; Harriet M Joy; Paul D Griffiths
Journal:  J Magn Reson Imaging       Date:  2008-11       Impact factor: 4.813

10.  Susceptibility contrast in high field MRI of human brain as a function of tissue iron content.

Authors:  Bing Yao; Tie-Qiang Li; Peter van Gelderen; Karin Shmueli; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2008-11-05       Impact factor: 6.556

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  63 in total

1.  Quantitative susceptibility mapping of human brain at 3T: a multisite reproducibility study.

Authors:  P-Y Lin; T-C Chao; M-L Wu
Journal:  AJNR Am J Neuroradiol       Date:  2014-10-22       Impact factor: 3.825

Review 2.  Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging.

Authors:  Pascal P R Ruetten; Jonathan H Gillard; Martin J Graves
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

Review 3.  Studying brain microstructure with magnetic susceptibility contrast at high-field.

Authors:  Jeff H Duyn
Journal:  Neuroimage       Date:  2017-02-24       Impact factor: 6.556

Review 4.  Contributions to magnetic susceptibility of brain tissue.

Authors:  Jeff H Duyn; John Schenck
Journal:  NMR Biomed       Date:  2016-05-30       Impact factor: 4.044

Review 5.  Elemental and chemically specific X-ray fluorescence imaging of biological systems.

Authors:  M Jake Pushie; Ingrid J Pickering; Malgorzata Korbas; Mark J Hackett; Graham N George
Journal:  Chem Rev       Date:  2014-08-07       Impact factor: 60.622

6.  Quantitative measurement of brain iron deposition in patients with haemodialysis using susceptibility mapping.

Authors:  Chao Chai; Shuo Yan; Zhiqiang Chu; Tong Wang; Lijun Wang; Mengjie Zhang; Chao Zuo; E Mark Haacke; Shuang Xia; Wen Shen
Journal:  Metab Brain Dis       Date:  2014-09-03       Impact factor: 3.584

Review 7.  Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain.

Authors:  Chunlei Liu; Wei Li; Karen A Tong; Kristen W Yeom; Samuel Kuzminski
Journal:  J Magn Reson Imaging       Date:  2014-10-01       Impact factor: 4.813

8.  Simultaneous quantitative susceptibility mapping and Flutemetamol-PET suggests local correlation of iron and β-amyloid as an indicator of cognitive performance at high age.

Authors:  J M G van Bergen; X Li; F C Quevenco; A F Gietl; V Treyer; R Meyer; A Buck; P A Kaufmann; R M Nitsch; P C M van Zijl; C Hock; P G Unschuld
Journal:  Neuroimage       Date:  2018-03-13       Impact factor: 6.556

Review 9.  The presence and role of iron in mild traumatic brain injury: an imaging perspective.

Authors:  Eric J Nisenbaum; Dmitry S Novikov; Yvonne W Lui
Journal:  J Neurotrauma       Date:  2014-01-09       Impact factor: 5.269

10.  MR quantitative susceptibility imaging for the evaluation of iron loading in the brains of patients with β-thalassemia major.

Authors:  D Qiu; G C-F Chan; J Chu; Q Chan; S-Y Ha; M E Moseley; P-L Khong
Journal:  AJNR Am J Neuroradiol       Date:  2014-02-27       Impact factor: 3.825

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