Literature DB >> 27906525

The clinical utility of QSM: disease diagnosis, medical management, and surgical planning.

Sarah Eskreis-Winkler1, Yan Zhang1, Jingwei Zhang1, Zhe Liu1, Alexey Dimov1, Ajay Gupta1, Yi Wang1.   

Abstract

Quantitative susceptibility mapping (QSM) is an MR technique that depicts and quantifies magnetic susceptibility sources. Mapping iron, the dominant susceptibility source in the brain, has many important clinical applications. Herein, we review QSM applications in the diagnosis, medical management, and surgical treatment of disease. To assist in early disease diagnosis, QSM can identify elevated iron levels in the motor cortex of amyotrophic lateral sclerosis patients, in the substantia nigra of Parkinson's disease (PD) patients, in the globus pallidus, putamen, and caudate of Huntington's disease patients, and in the basal ganglia of Wilson's disease patients. Additionally, QSM can distinguish between hemorrhage and calcification, which could prove useful in tumor subclassification, and can measure microbleeds in traumatic brain injury patients. In guiding medical management, QSM can be used to monitor iron chelation therapy in PD patients, to monitor smoldering inflammation of multiple sclerosis (MS) lesions after the blood-brain barrier (BBB) seals, to monitor active inflammation of MS lesions before the BBB seals without using gadolinium, and to monitor hematoma volume in intracerebral hemorrhage. QSM can also guide neurosurgical treatment. Neurosurgeons require accurate depiction of the subthalamic nucleus, a tiny deep gray matter nucleus, prior to inserting deep brain stimulation electrodes into the brains of PD patients. QSM is arguably the best imaging tool for depiction of the subthalamic nucleus. Finally, we discuss future directions, including bone QSM, cardiac QSM, and using QSM to map cerebral metabolic rate of oxygen.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  QSM; iron; neurodegenerative diseases; neurological; quantitative susceptibility mapping; susceptibility-weighted imaging

Mesh:

Substances:

Year:  2016        PMID: 27906525     DOI: 10.1002/nbm.3668

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


  20 in total

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2.  Cardiac quantitative susceptibility mapping (QSM) for heart chamber oxygenation.

Authors:  Yan Wen; Thanh D Nguyen; Zhe Liu; Pascal Spincemaille; Dong Zhou; Alexey Dimov; Youngwook Kee; Kofi Deh; Jiwon Kim; Jonathan W Weinsaft; Yi Wang
Journal:  Magn Reson Med       Date:  2017-06-26       Impact factor: 4.668

3.  Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - A pilot study in patients with multiple sclerosis and normal controls.

Authors:  Yanis Taege; Jesper Hagemeier; Niels Bergsland; Michael G Dwyer; Bianca Weinstock-Guttman; Robert Zivadinov; Ferdinand Schweser
Journal:  Neuroimage       Date:  2018-11-14       Impact factor: 6.556

4.  Differential diagnosis of parkinsonism by a combined use of diffusion kurtosis imaging and quantitative susceptibility mapping.

Authors:  Kenji Ito; Chigumi Ohtsuka; Kunihiro Yoshioka; Hiroyuki Kameda; Suguru Yokosawa; Ryota Sato; Yasuo Terayama; Makoto Sasaki
Journal:  Neuroradiology       Date:  2017-07-08       Impact factor: 2.804

5.  Global cerebrospinal fluid as a zero-reference regularization for brain quantitative susceptibility mapping.

Authors:  Alexey V Dimov; Thanh D Nguyen; Pascal Spincemaille; Elizabeth M Sweeney; Nicole Zinger; Ilhami Kovanlikaya; Brian H Kopell; Susan A Gauthier; Yi Wang
Journal:  J Neuroimaging       Date:  2021-09-04       Impact factor: 2.486

6.  Brain oxygen extraction fraction mapping in patients with multiple sclerosis.

Authors:  Junghun Cho; Thanh D Nguyen; Weiyuan Huang; Elizabeth M Sweeney; Xianfu Luo; Ilhami Kovanlikaya; Shun Zhang; Kelly M Gillen; Pascal Spincemaille; Ajay Gupta; Susan A Gauthier; Yi Wang
Journal:  J Cereb Blood Flow Metab       Date:  2021-09-24       Impact factor: 6.960

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.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

9.  Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge.

Authors:  Christian Langkammer; Ferdinand Schweser; Karin Shmueli; Christian Kames; Xu Li; Li Guo; Carlos Milovic; Jinsuh Kim; Hongjiang Wei; Kristian Bredies; Sagar Buch; Yihao Guo; Zhe Liu; Jakob Meineke; Alexander Rauscher; José P Marques; Berkin Bilgic
Journal:  Magn Reson Med       Date:  2017-07-31       Impact factor: 4.668

10.  Iterative Restoration of the Fringe Phase (REFRASE) for QSM.

Authors:  Johannes Lindemeyer; Wieland A Worthoff; Aliaksandra Shymanskaya; N Jon Shah
Journal:  Front Neurosci       Date:  2021-05-13       Impact factor: 4.677

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