Share：
Share this content in WeChat
X
[Chinese][PDF]1487101
• Review •
Applications of magnetic resonance imaging in traumatic spinal cord injury
ZOU Junting  MAI Xiaoli  ZHANG Bing 

Cite this article as: Zou JT, Mai XL, Zhang B. Applications of magnetic resonance imaging in traumatic spinal cord injury. Chin J Magn Reson Imaging, 2020, 11(8): 704-706, 720. DOI:10.12015/issn.1674-8034.2020.08.027.


[Abstract] Traumatic spinal cord injury (SCI) is one of the most common traumatic central nervous system injuries, with high disability and mortality rate. With the development of transportation and construction industry, the incidence of SCI is increasing year by year. The pathophysiological mechanism of SCI is complex, and the clinical treatment effect is unsatisfied, which brings heavy burden to the family and society. When the T2WI signal is found abnormal, the injury will be severely irreversible. At present, non-invasive MRI technology can not only observe the morphology and signal changes of the spinal cord, but also study the microstructure of it. MRI is a multi-modality method to diagnose traumatic SCI, it’s also a non-invasive and accurate way. Here, the progress of non-invasive MRI technology in traumatic SCI is reviewed in terms of providing a significant clinical reference for diagnosis and treatment.
[Keywords] spinal cord injury；traumatic；magnetic resonance imaging

ZOU Junting Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing 210008, China

MAI Xiaoli Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing 210008, China; Department of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China

ZHANG Bing* Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing 210008, China

*Corresponding to: Zhang B, E-mail: zhangbing_nanjing@nju.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Key R & D Program "Key Project of Stem Cell and Transformation Research" No. 2017YFA0104302 the Key Project of Medical Science and Technology Development of Nanjing No. ZKX17016
Received  2020-03-04
Accepted  2020-04-12
DOI: 10.12015/issn.1674-8034.2020.08.027
Cite this article as: Zou JT, Mai XL, Zhang B. Applications of magnetic resonance imaging in traumatic spinal cord injury. Chin J Magn Reson Imaging, 2020, 11(8): 704-706, 720. DOI:10.12015/issn.1674-8034.2020.08.027.

[1]
Ahuja CS, Nori S, Tetreault L, et al. Traumatic spinal cord injury-repair and Regeneration. Neurosurgery, 2017, 80(Suppl 3): S9-S22. DOI: 10.1093/neuros/nyw080.
[2]
Pavese C, Schneider MP, Schubert M, et al. Prediction of bladder outcomes after traumatic spinal cord injury: alongitudinal cohort study. PLoS Med, 2016, 13(6): e1002041. DOI: 10.1371/journal.pmed.1002041.
[3]
Ahn H, Lewis R, Santos A, et al. Forecasting financial resources for future traumatic spinal cord injury care using simulation modeling. J Neurotrauma, 2017, 34(20): 2917-2923. DOI: 10.1089/neu.2016.4936.
[4]
Talekar K, Poplawski M, Hegde R, et al. Imaging of spinal cord injury: acute cervical spinal cord injury, chronic spondylotic myelopathy and cord herniation. Semin Ultrasound CT MR, 2016, 37(5): 431-447. DOI: 10.1053/j.sult.2016.05.007.
[5]
Venkatesh K, Ghosh SK, Mullick M, et al. Spinal cord injury: pathophysiology, treatment strategies, associated challenges, and future implications. Cell Tissue Res, 2019, 377(2): 125-151. DOI: 10.1007/s00441-019-03039-1.
[6]
Ahuja CS, Wilson JR, Nori S, et al. Traumatic spinal cord injury. Nat Rev Dis Primers, 2017, 3: 17018. DOI: 10.1038/nrdp.2017.18.
[7]
Halsey AM, Conner AC, Bill RM, et al. Aquaporins and their regulation after spinal cord injury. Cells, 2018, 7(10): E174. DOI: 10.3390/cells7100174.
[8]
Mckinley W, Santos K, Meade M, et al. Incidence and outcomes of spinal cord injury clinical syndromes. J Spinal Cord Med, 2007, 30(3): 215-224. DOI: 10.1080/10790268.2007.11753929.
[9]
Hadley MN, Walters BC, Aarabi B, et al. Clinical assessment following acute cervical spinal cord injury. Neurosurgery, 2013, 72(2): 40-53. DOI: 10.1227/NEU.0b013e318276edda.
[10]
Kulkarni MV, Bondurant FJ, Rose SL, et al. 1.5 tesla magnetic resonance imaging of acute spinal trauma. Radiographics, 1988, 8(6): 1059-1082. DOI: 10.1148/radiographics.8.6.3205929.
[11]
Schaefer DM, Flanders A, Northrup BE, et al. Magnetic resonance imaging of acute cervical spine trauma. Correlation with severity of neurologic injury. Spine(Phila Pa 1976), 1989, 14(10): 1090-1095. DOI: 10.1097/00007632-198910000-00011.
[12]
Flanders AE, Spettell CM, Tartaglino LM, et al. Forecasting motor recovery after cervical spinal cord injury: value of MR imaging. Radiology, 1996, 201(3): 649-655. DOI: 10.1148/radiology.201.3.8939210.
[13]
D’Souza MM, Choudhary A, Poonia M, et al. Diffusion tensor MR imaging in spinal cord injury. Injury, 2017, 48(4): 880-884. DOI: 10.1016/j.injury.2017.02.016.
[14]
Wang-Leandro A, Hobert MK, Kramer S, et al. The role of diffusion tensor imaging as an objective tool for the assessment of motor function recovery after paraplegia in a naturally-occurring large animal model of spinal cord injury. J Transl Med, 2018, 16(1): 258-268. DOI: 10.1186/s12967-018-1630-4.
[15]
Wang-Leandro A, Siedenburg JS, Hobert MK, et al. Comparison of preoperative quantitative magnetic resonance imaging and clinical assessment of deep pain perception as prognostic tools for early recovery of motor function in paraplegic dogs with intervertebral disk herniations. J Vet Intern Med, 2017, 31(3): 842-848. DOI: 10.1111/jvim.14715.
[16]
Krebs J, Koch HG, Hartmann K, et al. The characteristics of posttraumatic syringomyelia. Spinal Cord, 2016, 54(6): 463-466. DOI: 10.1038/sc.2015.218.
[17]
Zhang C, Chen K, Han X, et al. Diffusion tensor imaging in diagnosis of post-traumatic syringomyelia in spinal cord injury in rats. Med Sci Monit, 2018, 24: 177-182. DOI: 10.12659/msm.907955.
[18]
Liu Y, Kong C, Cui L, et al. Correlation between diffusion tensor imaging parameters and clinical assessments in patients with cervical spondylotic myelopathy with and without high signal intensity. Spinal Cord, 2017, 55(12): 1079-1083. DOI: 10.1038/sc.2017.75.
[19]
Jirjis MB, Valdez C, Vedantam A, et al. Diffusion tensor imaging as a biomarker for assessing neuronal stem cell treatments affecting areas distal to the site of spinal cord injury. J Neurosurg Spine, 2017, 26(2): 243-251. DOI: 10.3171/2016.5.SPINE151319.
[20]
Yung A, Mattucci S, Bohnet B, et al. Diffusion tensor imaging shows mechanism-specific differences in injury pattern and progression in rat models of acute spinal cord injury. Neuroimage, 2019, 186: 43-55. DOI: 10.1016/j.neuroimage.2018.10.067.
[21]
Brennan FH, Cowin GJ, Kurniawan ND, et al. Longitudinal assessment of white matter pathology in the injured mouse spinal cord through ultra-high field (16.4T) in vivo diffusion tensor imaging. Neuroimage, 2013, 82: 574-585. DOI: 10.1016/j.neuroimage.2013.06.019.
[22]
Hori M, Tsutsumi S, Yasumoto Y, et al. Cervical spondylosis: evaluation of microstructural changes in spinal cord white matter and gray matter by diffusional kurtosis imaging. Magn Reson Imaging, 2014, 32(5): 428-432. DOI: 10.1016/j.mri.2014.01.018.
[23]
Li D, Wang X. Diffusion kurtosis imaging and pathology in spinal cord ischemia/reperfusion injury in rabbits: acase-control study. Med Sci Monit, 2017, 23: 3996-4003. DOI: 10.12659/msm.902986.
[24]
Denic A, Bieber A, Warrington A, et al. Brainstem 1H nuclear magnetic resonance (NMR) spectroscopy: marker of demyelination and repair in spinal cord. Ann Neurol, 2009, 66(4): 559-564. DOI: 10.1002/ana.21758.
[25]
Ellingson BM, Salamon N, Hardy AJ, et al. Prediction of neurological impairment in cervical spondylotic myelopathy using a combination of diffusion MRI and proton MR spectroscopy. PLoS One, 2015, 10(10): e0139451. DOI: 10.1371/journal.pone.0139451.
[26]
Yang PF, Wang F, Chen LM. Differential fMRI activation patterns to noxious heat and tactile stimuli in the primate spinal cord. J Neurosci, 2015, 35(29): 10493-10502. DOI: 10.1523/JNEUROSCI.0583-15.2015.
[27]
Mayer AR, Mannell MV, Ling J, et al. Functional connectivity in mild traumatic brain injury. Hum Brain Mapp, 2011, 32(11): 1825-1835. DOI: 10.1002/hbm.21151.
[28]
Rao JS, Ma M, Zhao C, et al. Fractional amplitude of low-frequency fluctuation changes in monkeys with spinal cord injury: a resting-state fMRI study. Magn Reson Imaging, 2014, 32(5): 482-486. DOI: 10.1016/j.mri.2014.02.001.

PREV Research progress of infantile punctate white matter lesions on magnetic resonance imaging
NEXT The advances in cardiovascular magnetic resonance imaging for light-chain and transthyretin-related amyloidosis
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn