Literature DB >> 29897645

Iron deposition quantification: Applications in the brain and liver.

Fuhua Yan1, Naying He1, Huimin Lin1, Ruokun Li1.   

Abstract

Iron has long been implicated in many neurological and other organ diseases. It is known that over and above the normal increases in iron with age, in certain diseases there is an excessive iron accumulation in the brain and liver. MRI is a noninvasive means by which to image the various structures in the brain in three dimensions and quantify iron over the volume of the object of interest. The quantification of iron can provide information about the severity of iron-related diseases as well as quantify changes in iron for patient follow-up and treatment monitoring. This article provides an overview of current MRI-based methods for iron quantification, specifically for the brain and liver, including: signal intensity ratio, R2 , R2*, R2', phase, susceptibility weighted imaging and quantitative susceptibility mapping (QSM). Although there are numerous approaches to measuring iron, R2 and R2* are currently preferred methods in imaging the liver and QSM has become the preferred approach for imaging iron in the brain. LEVEL OF EVIDENCE: 5 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2018. J. MAGN. RESON. IMAGING 2018;48:301-317.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  Parkinson's disease; iron quantification; liver iron overload; multiple sclerosis; quantitative susceptibility mapping; susceptibility weighted imaging

Mesh:

Substances:

Year:  2018        PMID: 29897645     DOI: 10.1002/jmri.26161

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


  12 in total

Review 1.  Topics on quantitative liver magnetic resonance imaging.

Authors:  Yì Xiáng J Wáng; Xiaoqi Wang; Peng Wu; Yajie Wang; Weibo Chen; Huijun Chen; Jianqi Li
Journal:  Quant Imaging Med Surg       Date:  2019-11

Review 2.  Post-Mortem MRI and Histopathology in Neurologic Disease: A Translational Approach.

Authors:  Laura E Jonkman; Boyd Kenkhuis; Jeroen J G Geurts; Wilma D J van de Berg
Journal:  Neurosci Bull       Date:  2019-02-21       Impact factor: 5.203

3.  Quantifying Brain Iron in Hereditary Hemochromatosis Using R2* and Susceptibility Mapping.

Authors:  S K Sethi; S Sharma; S Gharabaghi; D Reese; Y Chen; P Adams; M S Jog; E M Haacke
Journal:  AJNR Am J Neuroradiol       Date:  2022-07       Impact factor: 4.966

4.  Paramagnetic Metal Accumulation in the Deep Gray Matter Nuclei Is Associated With Neurodegeneration in Wilson's Disease.

Authors:  Xiang-Zhen Yuan; Gai-Ying Li; Jia-Lin Chen; Jian-Qi Li; Xiao-Ping Wang
Journal:  Front Neurosci       Date:  2020-09-16       Impact factor: 4.677

5.  Regional High Iron in the Substantia Nigra Differentiates Parkinson's Disease Patients From Healthy Controls.

Authors:  Kiarash Ghassaban; Naying He; Sean Kumar Sethi; Pei Huang; Shengdi Chen; Fuhua Yan; Ewart Mark Haacke
Journal:  Front Aging Neurosci       Date:  2019-05-27       Impact factor: 5.750

6.  Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

Authors:  Bin Xiao; Naying He; Qian Wang; Zenghui Cheng; Yining Jiao; E Mark Haacke; Fuhua Yan; Feng Shi
Journal:  Neuroimage Clin       Date:  2019-11-05       Impact factor: 4.881

7.  Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis.

Authors:  Alina Lopatina; Stefan Ropele; Renat Sibgatulin; Jürgen R Reichenbach; Daniel Güllmar
Journal:  Front Neurosci       Date:  2020-12-18       Impact factor: 4.677

8.  Iron Content in Deep Gray Matter as a Function of Age Using Quantitative Susceptibility Mapping: A Multicenter Study.

Authors:  Yan Li; Sean K Sethi; Chunyan Zhang; Yanwei Miao; Kiran Kumar Yerramsetty; Vinay Kumar Palutla; Sara Gharabaghi; Chengyan Wang; Naying He; Jingliang Cheng; Fuhua Yan; Ewart Mark Haacke
Journal:  Front Neurosci       Date:  2021-01-06       Impact factor: 4.677

9.  Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson's Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study.

Authors:  Yu Liu; Bin Xiao; Chencheng Zhang; Junchen Li; Yijie Lai; Feng Shi; Dinggang Shen; Linbin Wang; Bomin Sun; Yan Li; Zhijia Jin; Hongjiang Wei; Ewart Mark Haacke; Haiyan Zhou; Qian Wang; Dianyou Li; Naying He; Fuhua Yan
Journal:  Front Neurosci       Date:  2021-09-07       Impact factor: 4.677

Review 10.  Role of endolysosome function in iron metabolism and brain carcinogenesis.

Authors:  Peter W Halcrow; Miranda L Lynch; Jonathan D Geiger; Joyce E Ohm
Journal:  Semin Cancer Biol       Date:  2021-06-15       Impact factor: 15.707

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