Literature DB >> 26913373

Reproducibility of R2 * and quantitative susceptibility mapping (QSM) reconstruction methods in the basal ganglia of healthy subjects.

M D Santin1,2, M Didier1,2, R Valabrègue1,2, L Yahia Cherif1,2, D García-Lorenzo1,2, P Loureiro de Sousa3, E Bardinet1,2, S Lehéricy1,2.   

Abstract

The basal ganglia are key structures for motor, cognitive and behavioral functions. They undergo several changes with aging and disease, such as Parkinson's or Huntington's disease, for example. Iron accumulation in basal ganglia is often related to these diseases, which is conventionally monitored by the transverse relaxation rate (R2 *). Quantitative susceptibility mapping (QSM) is a novel contrast mechanism in MRI produced by adding information taken from the phase of the MR signal to its magnitude. It has been shown to be more sensitive to subtle changes in Parkinson's disease. In order to be applied widely to various pathologies, its reproducibility must be evaluated in order to assess intra-subject variability and to disseminate into clinical and pharmaceutical studies. In this work, we studied the reproducibility and sensitivity of several QSM techniques. Fourteen subjects were scanned four times, and QSM and R2 * images were reconstructed and registered. An atlas of the basal ganglia was used to automatically define regions of interest. We found that QSM measurements are indeed reproducible in the basal ganglia of healthy subjects and can be widely used as a replacement for R2 * mapping in iron-rich regions. This reproducibility study could lead to several lines of research in relaxometry and susceptibility measurements, in vivo iron load evaluation as well as pharmacological assessment and biomarker development.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  R2*; basal ganglia; brain; neurological diseases; quantitative susceptibility mapping (QSM); relaxometry; reproducibility

Mesh:

Substances:

Year:  2016        PMID: 26913373     DOI: 10.1002/nbm.3491

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  21 in total

1.  3T MRI Whole-Brain Microscopy Discrimination of Subcortical Anatomy, Part 2: Basal Forebrain.

Authors:  M J Hoch; M T Bruno; A Faustin; N Cruz; A Y Mogilner; L Crandall; T Wisniewski; O Devinsky; T M Shepherd
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-13       Impact factor: 3.825

Review 2.  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 3.  Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.

Authors:  Yi Wang; Pascal Spincemaille; Zhe Liu; Alexey Dimov; Kofi Deh; Jianqi Li; Yan Zhang; Yihao Yao; Kelly M Gillen; Alan H Wilman; Ajay Gupta; Apostolos John Tsiouris; Ilhami Kovanlikaya; Gloria Chia-Yi Chiang; Jonathan W Weinsaft; Lawrence Tanenbaum; Weiwei Chen; Wenzhen Zhu; Shixin Chang; Min Lou; Brian H Kopell; Michael G Kaplitt; David Devos; Toshinori Hirai; Xuemei Huang; Yukunori Korogi; Alexander Shtilbans; Geon-Ho Jahng; Daniel Pelletier; Susan A Gauthier; David Pitt; Ashley I Bush; Gary M Brittenham; Martin R Prince
Journal:  J Magn Reson Imaging       Date:  2017-03-10       Impact factor: 4.813

4.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

Authors:  Ferdinand Schweser; Ana Luiza Raffaini Duarte Martins; Jesper Hagemeier; Fuchun Lin; Jannis Hanspach; Bianca Weinstock-Guttman; Simon Hametner; Niels Bergsland; Michael G Dwyer; Robert Zivadinov
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

5.  Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration.

Authors:  Jianqi Li; Huimin Lin; Tian Liu; Zhuwei Zhang; Martin R Prince; Kelly Gillen; Xu Yan; Qi Song; Ting Hua; Xiance Zhao; Miao Zhang; Yu Zhao; Gaiying Li; Guangyu Tang; Guang Yang; Gary M Brittenham; Yi Wang
Journal:  J Magn Reson Imaging       Date:  2018-03-22       Impact factor: 4.813

6.  Clinical feasibility of brain quantitative susceptibility mapping.

Authors:  Shun Zhang; Zhe Liu; Thanh D Nguyen; Yihao Yao; Kelly M Gillen; Pascal Spincemaille; Ilhami Kovanlikaya; Ajay Gupta; Yi Wang
Journal:  Magn Reson Imaging       Date:  2019-04-04       Impact factor: 2.546

7.  Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness.

Authors:  Pascal Spincemaille; Zhe Liu; Shun Zhang; Ilhami Kovanlikaya; Matteo Ippoliti; Marcus Makowski; Richard Watts; Ludovic de Rochefort; Vijay Venkatraman; Patricia Desmond; Mathieu D Santin; Stéphane Lehéricy; Brian H Kopell; Patrice Péran; Yi Wang
Journal:  J Neuroimaging       Date:  2019-08-04       Impact factor: 2.486

8.  Multicenter reproducibility of quantitative susceptibility mapping in a gadolinium phantom using MEDI+0 automatic zero referencing.

Authors:  Kofi Deh; Keigo Kawaji; Marjolein Bulk; Louise Van Der Weerd; Emelie Lind; Pascal Spincemaille; Kelly McCabe Gillen; Johan Van Auderkerke; Yi Wang; Thanh D Nguyen
Journal:  Magn Reson Med       Date:  2018-10-04       Impact factor: 4.668

Review 9.  Longitudinal Progression Markers of Parkinson's Disease: Current View on Structural Imaging.

Authors:  Jing Yang; Roxana G Burciu; David E Vaillancourt
Journal:  Curr Neurol Neurosci Rep       Date:  2018-10-02       Impact factor: 5.081

Review 10.  MRI biomarkers of motor and non-motor symptoms in Parkinson's disease.

Authors:  Sephira G Ryman; Kathleen L Poston
Journal:  Parkinsonism Relat Disord       Date:  2019-10-10       Impact factor: 4.891

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