Application of diffusion tensor imaging in spinal cord injury

doi:10.3868/j.issn.2096-0689.2018.03.003

Journal of Translational Neuroscience

2018, Vol. 3

Issue (3) : 17-25 https://doi.org/10.3868/j.issn.2096-0689.2018.03.003

Review

Application of diffusion tensor imaging in spinal cord injury

Changbin Liu^1,2,3,4,5, Chuan Qin^1,2,3,4,5, Degang Yang^1,2,3,4,5, Mingliang Yang^1,2,3,4,5, Jianjun Li^1,2,3,4,5*

1.School of Rehabilitation Medicine, Capital Medical University, Beijing 100068, China
2.Department of Spinal and Neural Function Reconstruction, China Rehabilitation Research Center, Beijing 100068, China
3.Center of Neural Injury and Repair, Beijing Institute for Brain Disorders, Beijing 100068, China
4.China Rehabilitation Science Institute, Beijing 100068, China
5.Beijing Key Laboratory of Neural Injury and Rehabilitation, Beijing 100068, China

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Abstract Diffusion tensor imaging (DTI) technique can detect the dispersion of water molecules in the white matter of the spinal cord, the integrity of the spinal fiber bundle, and the pathological changes after injury. Clinically, DTI is sensitive to acute and chronic spinal cord injuries, and is most commonly used for the diagnosis of cervical spondylotic myelopathy, multiple sclerosis, secondary brain damage after spinal cord injury, and spinal nerve root damage. In animal studies involving rats, monkeys, cattle, cats, pigs, dogs, etc., DTI could quantitatively analyze the microstructural and pathological changes of the injured spinal cord and provide a powerful auxiliary diagnosis for behavioral evaluation.

Keywords spinal cord injury diffusion tensor imaging (DTI) clinic animal model review

Issue Date: 25 November 2018

Cite this article:

Changbin Liu, Chuan Qin, Degang Yang, Mingliang Yang, Jianjun Li. Application of diffusion tensor imaging in spinal cord injury[J]. Journal of Translational Neuroscience,2018, 3(3): 17-25.

URL:

https://academic.hep.com.cn/jtn/EN/10.3868/j.issn.2096-0689.2018.03.003
https://academic.hep.com.cn/jtn/EN/Y2018/V3/I3/17

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