scholarly journals The role of diffusion tensor imaging in the diagnosis, prognosis, and assessment of recovery and treatment of spinal cord injury: a systematic review

2019 ◽  
Vol 46 (3) ◽  
pp. E7 ◽  
Author(s):  
Orel A. Zaninovich ◽  
Mauricio J. Avila ◽  
Matthew Kay ◽  
Jennifer L. Becker ◽  
R. John Hurlbert ◽  
...  

OBJECTIVEDiffusion tensor imaging (DTI) is an MRI tool that provides an objective, noninvasive, in vivo assessment of spinal cord injury (SCI). DTI is significantly better at visualizing microstructures than standard MRI sequences. In this imaging modality, the direction and amplitude of the diffusion of water molecules inside tissues is measured, and this diffusion can be measured using a variety of parameters. As a result, the potential clinical application of DTI has been studied in several spinal cord pathologies, including SCI. The aim of this study was to describe the current state of the potential clinical utility of DTI in patients with SCI and the challenges to its use as a tool in clinical practice.METHODSA search in the PubMed database was conducted for articles relating to the use of DTI in SCI. The citations of relevant articles were also searched for additional articles.RESULTSAmong the most common DTI metrics are fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity. Changes in these metrics reflect changes in tissue integrity. Several DTI metrics and combinations thereof have demonstrated significant correlations with clinical function both in model species and in humans. Its applications encompass the full spectrum of the clinical assessment of SCI including diagnosis, prognosis, recovery, and efficacy of treatments in both the spinal cord and potentially the brain.CONCLUSIONSDTI and its metrics have great potential to become a powerful clinical tool in SCI. However, the current limitations of DTI preclude its use beyond research and into clinical practice. Further studies are needed to significantly improve and resolve these limitations as well as to determine reliable time-specific changes in multiple DTI metrics for this tool to be used accurately and reliably in the clinical setting.

2020 ◽  
pp. 028418512097518
Author(s):  
Yi Liu ◽  
Changbin Liu ◽  
Chuan Qin ◽  
Xin Zhang ◽  
Hao Feng ◽  
...  

Background Spinal cord injury (SCI) is a severe central nervous system injury that can generally induce different degrees of sensory and motor dysfunction Purpose To clarify the changes of diffusion tensor imaging (DTI) parameters after spinal cord myelotomy in rats with SCI. Material and Methods Eighteen Sprague Dawley (SD) rats were randomly divided into the Sham group (n=6), SCI group (n=6), and Mye group (n=6), respectively. The DTI values at 1, 3, 7, and 21 days after modeling were collected by magnetic resonance imaging (MRI). The spinal specimen at the injury site was collected on the 21st day for Nissl’s staining to assess the changes in neurons. Results The fractional anisotropy (FA) values in both the SCI group and Mye group significantly decreased. In addition, the FA values between the two groups were statistically significant ( P < 0.001). The apparent diffusion coefficient (ADC), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) values all decreased and then increased ( P < 0.001). Pearson correlation test showed that the ADC, MD, and AD values were positively correlated with the Basso Beattie Bresnahan (BBB) score. Nissl’s staining showed a higher number of Nissl’s bodies, and deep staining of Nissl’s bodies in the Mye group, while the morphology of neurons was relatively good. The number of neurons in the Mye group was significantly higher after myelotomy compared to the SCI group ( P < 0.001). Conclusion The DTI parameters, especially ADC values, could non-invasively and quantifiably evaluate the efficacy of myelotomy for rats with SCI.


2007 ◽  
Vol 58 (2) ◽  
pp. 253-260 ◽  
Author(s):  
Joong Hee Kim ◽  
David N. Loy ◽  
Hsiao-Fang Liang ◽  
Kathryn Trinkaus ◽  
Robert E. Schmidt ◽  
...  

2018 ◽  
Vol 24 ◽  
pp. 177-182 ◽  
Author(s):  
Chao Zhang ◽  
Kai Chen ◽  
Xiuxin Han ◽  
Jiayuanyuan Fu ◽  
Patricia Douglas ◽  
...  

2013 ◽  
Vol 260 (11) ◽  
pp. 2876-2883 ◽  
Author(s):  
Suk Hoon Ohn ◽  
Deog Young Kim ◽  
Ji Cheol Shin ◽  
Seung Min Kim ◽  
Woo-Kyoung Yoo ◽  
...  

2019 ◽  
Vol 36 (15) ◽  
pp. 2279-2286 ◽  
Author(s):  
Mayank Kaushal ◽  
Saman Shabani ◽  
Matthew Budde ◽  
Shekar Kurpad

Spinal Cord ◽  
2014 ◽  
Vol 52 (3) ◽  
pp. 202-208 ◽  
Author(s):  
E A Koskinen ◽  
U Hakulinen ◽  
A E Brander ◽  
T M Luoto ◽  
A Ylinen ◽  
...  

2013 ◽  
Vol 26 (11) ◽  
pp. 1484-1495 ◽  
Author(s):  
Tsang-Wei Tu ◽  
Joong H. Kim ◽  
Feng Qin Yin ◽  
Lyn B. Jakeman ◽  
Sheng-Kwei Song

2018 ◽  
Vol 35 (3) ◽  
pp. 452-460 ◽  
Author(s):  
Mahdi Alizadeh ◽  
Joshua Fisher ◽  
Sona Saksena ◽  
Yusra Sultan ◽  
Chris J. Conklin ◽  
...  

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