The Clinical Application Value of Susceptibility Weighted Imaging in the Central Nervous System

Haichao Fu (Inner Mongolia Medical University, Hohhot, Inner Mongolia, 010059, China)


Susceptibility weighted imaging (SWI) is a relatively new magnetic resonance imaging (MRI) technique that uses the difference in tissue magnetic susceptibility to image, and has unique value compared to traditionalmagnetic resonance imaging. This article summarizes its application inthe central nervous system and provides a reference for imaging diagnosisand clinical treatment.


Susceptibility weighted imaging ;Central nervous system diseases; Magnetic resonance imaging

Full Text:



[1] Xin Cao, Hao Shi. The latest clinical application and development of susceptibility weighted imaging[J]. Chinese Journal of Neurology, 2018, 51(7): 550-555.

[2] Di leva A, Lam T, Alcaide-Leon P, et al. Magnetic resonance susceptibility wei-ghted imaging in neurosurgery:current applications and future perspectives[J]. J Neurosurg, 2015, 123(6): 1463-1475.

[3] Haller S,Vernooij M,Kuijer J P A, et al. Cerebral Microbleedings:Imaging and Clinical Significance[J]. Radiology, 2018, 287(1):1 1-28.

[4] Bin Ye, Liling Long. Application of susceptibility weighted imaging in cerebral infarction and related diseases[J]. Guangxi Medical Journal, 2018, 40(11): 1246-1248.

[5] Lee J, Sohn EH, Oh E, et al. Characteristics of Cerebral Microbleeds[J].Dement Neurocogn Disord, 2018, 17(3): 73-82.

[6] Fazekas F,Kleinert R,Roob G,et al.Histopathologic analysis of foci of signalloss on gradient-echo T2*-weighted MR images in patients with spontaneous intracerebral hemorrhage: evidence of microangiopathy-related microbleeds[J]. AJNR.American journal of neuroradiology, 1999, 20(4): 637-642.

[7] Ge L, Ouyang X, Ban C, et al. Cerebral microbleeds in patients with ischemic ce-rebrovascular dis-ease taking aspirin or clopidogrel[J]. Medicine, 2019, 98(9): e14685.

[8] Van CS, De KF, Sima DM, et al. Integrating diffusion kurtosis imaging,dynamic s-usceptibility-weighted contrast-enhanced MRI, and short echo time chemical shiftimaging for grading gliomas[J]. Neuro-oncology, 2014, 16(7): 1010-1021.

[9] Yuejie Chen, Yanling Huang, Yongfeng Wang, et al. The value of susceptibility weighted imaging in evaluating the grading of glioma[J]. Chinese medical imaging technology, 2010, 26(2): 247-249.

[10] J. Furtner, V. Schöpf, M. Preusser, et al. Non-invasive assessment of intratumoral vascularity using arterial spin labeling: A comparison to susceptibility-weight-ed imaging for the differentiation of primary cerebral lymphoma and glioblasto-ma[J]. European Journal of Radiology, 2014, 83(5): 806-810.

[11] Haiyong Zeng, Cuiping Zhou, Guohua He, et al. Diagnosis and application evaluation of susceptibility weighted imaging in mild traumatic brain injury[J]. Chinese Practical Medicine, 2018, 13(14): 23-24.

[12] Buijs M, Doan NT, van Rooden S, et al. In vivo assessment of iron content of the cerebral cortex in healthy aging using 7-Tesla T2*-weighted phase imaging[J]. Neurobiology of Aging, 2017, 53(5): 20-26.

[13] Haller S, Badoud S, Nguyen D, Barnaure I, Montandon M-L, Lovblad K-O, Burkhard P R. Differentiation between Parkinson disease and other forms of Parkinsonism using support vector machine analysis of susceptibility-weighted imaging (SWI): initial results[J]. European radiology, 2013, 23(1): 12-19.

[14] Qingling Huang, Wen Liu, Chaoyong Xiao, et al. Diagnosis of mild cognitive impairment and Alzheimer’s disease with 3T SWI small hypointense lesions[J]. Journal of medical imaging, 2015, 25(3): 381-385.



  • There are currently no refbacks.
Copyright © 2020 Hai chao FU

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.