Literature DB >> 28295954

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

Yi Wang1,2, Pascal Spincemaille1, Zhe Liu1,2, Alexey Dimov1,2, Kofi Deh1, Jianqi Li3, Yan Zhang4, Yihao Yao1,4, Kelly M Gillen1, Alan H Wilman5, Ajay Gupta1, Apostolos John Tsiouris1, Ilhami Kovanlikaya1, Gloria Chia-Yi Chiang1, Jonathan W Weinsaft6, Lawrence Tanenbaum7, Weiwei Chen4, Wenzhen Zhu4, Shixin Chang8, Min Lou9, Brian H Kopell10, Michael G Kaplitt11, David Devos12,13,14,15, Toshinori Hirai16, Xuemei Huang17,18,19,20, Yukunori Korogi21, Alexander Shtilbans22,23, Geon-Ho Jahng24, Daniel Pelletier25, Susan A Gauthier26, David Pitt27, Ashley I Bush28, Gary M Brittenham29, Martin R Prince1.   

Abstract

Quantitative susceptibility mapping (QSM) has enabled magnetic resonance imaging (MRI) of tissue magnetic susceptibility to advance from simple qualitative detection of hypointense blooming artifacts to precise quantitative measurement of spatial biodistributions. QSM technology may be regarded to be sufficiently developed and validated to warrant wide dissemination for clinical applications of imaging isotropic susceptibility, which is dominated by metals in tissue, including iron and calcium. These biometals are highly regulated as vital participants in normal cellular biochemistry, and their dysregulations are manifested in a variety of pathologic processes. Therefore, QSM can be used to assess important tissue functions and disease. To facilitate QSM clinical translation, this review aims to organize pertinent information for implementing a robust automated QSM technique in routine MRI practice and to summarize available knowledge on diseases for which QSM can be used to improve patient care. In brief, QSM can be generated with postprocessing whenever gradient echo MRI is performed. QSM can be useful for diseases that involve neurodegeneration, inflammation, hemorrhage, abnormal oxygen consumption, substantial alterations in highly paramagnetic cellular iron, bone mineralization, or pathologic calcification; and for all disorders in which MRI diagnosis or surveillance requires contrast agent injection. Clinicians may consider integrating QSM into their routine imaging practices by including gradient echo sequences in all relevant MRI protocols. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2017;46:951-971.
© 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  biometals; quantitative susceptibility mapping

Mesh:

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Year:  2017        PMID: 28295954      PMCID: PMC5592126          DOI: 10.1002/jmri.25693

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


  213 in total

1.  Internal structures of the globus pallidus in patients with Parkinson's disease: evaluation with quantitative susceptibility mapping (QSM).

Authors:  Satoru Ide; Shingo Kakeda; Issei Ueda; Keita Watanabe; Yu Murakami; Junji Moriya; Atsushi Ogasawara; Koichiro Futatsuya; Toru Sato; Norihiro Ohnari; Kazumasa Okada; Atsuji Matsuyama; Hitoshi Fujiwara; Masanori Hisaoka; Sadatoshi Tsuji; Tian Liu; Yi Wang; Yukunori Korogi
Journal:  Eur Radiol       Date:  2014-11-01       Impact factor: 5.315

2.  Quantitative MRI for Analysis of Active Multiple Sclerosis Lesions without Gadolinium-Based Contrast Agent.

Authors:  I Blystad; I Håkansson; A Tisell; J Ernerudh; Ö Smedby; P Lundberg; E-M Larsson
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-15       Impact factor: 3.825

Review 3.  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

4.  Quantitative susceptibility mapping of the motor cortex in amyotrophic lateral sclerosis and primary lateral sclerosis.

Authors:  Andrew D Schweitzer; Tian Liu; Ajay Gupta; Karen Zheng; Stephen Seedial; Alexander Shtilbans; Mona Shahbazi; Dale Lange; Yi Wang; A John Tsiouris
Journal:  AJR Am J Roentgenol       Date:  2015-05       Impact factor: 3.959

5.  Cerebral arteriovenous oxygen difference as an estimate of cerebral blood flow in comatose patients.

Authors:  C S Robertson; R K Narayan; Z L Gokaslan; R Pahwa; R G Grossman; P Caram; E Allen
Journal:  J Neurosurg       Date:  1989-02       Impact factor: 5.115

6.  Cerebral metabolic rate of oxygen (CMRO2 ) mapping with hyperventilation challenge using quantitative susceptibility mapping (QSM).

Authors:  Jingwei Zhang; Dong Zhou; Thanh D Nguyen; Pascal Spincemaille; Ajay Gupta; Yi Wang
Journal:  Magn Reson Med       Date:  2016-04-27       Impact factor: 4.668

7.  Imaging Cerebral Microhemorrhages in Military Service Members with Chronic Traumatic Brain Injury.

Authors:  Wei Liu; Karl Soderlund; Justin S Senseney; David Joy; Ping-Hong Yeh; John Ollinger; Elyssa B Sham; Tian Liu; Yi Wang; Terrence R Oakes; Gerard Riedy
Journal:  Radiology       Date:  2015-09-15       Impact factor: 11.105

8.  Reproducibility of quantitative susceptibility mapping in the brain at two field strengths from two vendors.

Authors:  Kofi Deh; Thanh D Nguyen; Sarah Eskreis-Winkler; Martin R Prince; Pascal Spincemaille; Susan Gauthier; Ilhami Kovanlikaya; Yan Zhang; Yi Wang
Journal:  J Magn Reson Imaging       Date:  2015-05-09       Impact factor: 4.813

Review 9.  Imaging of the ischemic penumbra in acute stroke.

Authors:  Deok Hee Lee; Dong-Wha Kang; Jae Sung Ahn; Choong Gon Choi; Sang Joon Kim; Dae Chul Suh
Journal:  Korean J Radiol       Date:  2005 Apr-Jun       Impact factor: 3.500

10.  Improved subthalamic nucleus depiction with quantitative susceptibility mapping.

Authors:  Tian Liu; Sarah Eskreis-Winkler; Andrew D Schweitzer; Weiwei Chen; Michael G Kaplitt; A John Tsiouris; Yi Wang
Journal:  Radiology       Date:  2013-05-14       Impact factor: 11.105

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  69 in total

1.  QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.

Authors:  Yicheng Chen; Angela Jakary; Sivakami Avadiappan; Christopher P Hess; Janine M Lupo
Journal:  Neuroimage       Date:  2019-11-21       Impact factor: 6.556

2.  Quantitative Analysis of Punctate White Matter Lesions in Neonates Using Quantitative Susceptibility Mapping and R2* Relaxation.

Authors:  Y Zhang; A Rauscher; C Kames; A M Weber
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-20       Impact factor: 3.825

3.  Potential usefulness of signal intensity of cerebral gyri on quantitative susceptibility mapping for discriminating corticobasal degeneration from progressive supranuclear palsy and Parkinson's disease.

Authors:  Mari Miyata; Shingo Kakeda; Yasuko Toyoshima; Satoru Ide; Kazumasa Okada; Hiroaki Adachi; Yi Wang; Yukunori Korogi
Journal:  Neuroradiology       Date:  2019-07-02       Impact factor: 2.804

4.  Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction.

Authors:  Jinwei Zhang; Zhe Liu; Shun Zhang; Hang Zhang; Pascal Spincemaille; Thanh D Nguyen; Mert R Sabuncu; Yi Wang
Journal:  Neuroimage       Date:  2020-01-22       Impact factor: 6.556

5.  Susceptibility MRI captures nigral pathology in patients with parkinsonian syndromes.

Authors:  Mechelle M Lewis; Guangwei Du; Jennifer Baccon; Amanda M Snyder; Ben Murie; Felicia Cooper; Christy Stetter; Lan Kong; Christopher Sica; Richard B Mailman; James R Connor; Xuemei Huang
Journal:  Mov Disord       Date:  2018-05-14       Impact factor: 10.338

6.  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

7.  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

8.  Altered brain iron content and deposition rate in Huntington's disease as indicated by quantitative susceptibility MRI.

Authors:  Lin Chen; Jun Hua; Christopher A Ross; Shuhui Cai; Peter C M van Zijl; Xu Li
Journal:  J Neurosci Res       Date:  2018-11-29       Impact factor: 4.164

9.  Susceptibility mapping of the dural sinuses and other superficial veins in the brain.

Authors:  Sagar Buch; Yongsheng Chen; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2018-10-21       Impact factor: 2.546

10.  Integrated quantitative susceptibility and R2 * mapping for evaluation of liver fibrosis: An ex vivo feasibility study.

Authors:  Ramin Jafari; Stefanie J Hectors; Anne K Koehne de González; Pascal Spincemaille; Martin R Prince; Gary M Brittenham; Yi Wang
Journal:  NMR Biomed       Date:  2020-09-22       Impact factor: 4.044

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