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

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.

DOI: 10.1002/jmri.25693

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@article{Wang2017ClinicalQS, title={Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care.}, author={Yi Wang and Pascal Spincemaille and Zhe Liu and Alexey Dimov and Kofi Deh and Jianqi Li and Yan Zhang and Yihao Yao and Kelly M Gillen and Alan H. Wilman and Ajay Gupta and A. John Tsiouris and Ilhami Kovanlikaya and Gloria Chia-Yi Chiang and Jonathan W. Weinsaft and L N Tanenbaum and Weiwei Chen and Wenzhen Zhu and Shixin Chang and M Lou and Brian H. Kopell and Michael G. Kaplitt and David Devos and Toshinori Hirai and Xuemei Huang and Yukunori Korogi and Alexander Shtilbans and Geon-Ho Jahng and Daniel Pelletier and Susan A. Gauthier and D Pitt and Ashley I. Bush and Gary M. Brittenham and Martin R. Prince}, journal={Journal of magnetic resonance imaging : JMRI}, year={2017}, volume={46 4}, pages={951-971} }