Diffusion tensor imaging at 3 hours after traumatic spinal cord injury predicts long-term locomotor recovery
- PMID: 20001686
- PMCID: PMC2867549
- DOI: 10.1089/neu.2009.1063
Diffusion tensor imaging at 3 hours after traumatic spinal cord injury predicts long-term locomotor recovery
Abstract
Accurate diagnosis of spinal cord injury (SCI) severity must be achieved before highly aggressive experimental therapies can be tested responsibly in the early phases after trauma. These studies demonstrate for the first time that axial diffusivity (lambda||), derived from diffusion tensor imaging (DTI) within 3 h after SCI, accurately predicts long-term locomotor behavioral recovery in mice. Female C57BL/6 mice underwent sham laminectomy or graded contusive spinal cord injuries at the T9 vertebral level (5 groups, n = 8 for each group). In-vivo DTI examinations were performed immediately after SCI. Longitudinal measurements of hindlimb locomotor recovery were obtained using the Basso mouse scale (BMS). Injured and spared regions of ventrolateral white matter (VLWM) were reliably separated in the hyperacute phase by threshold segmentation. Measurements of lambda|| were compared with histology in the hyperacute phase and 14 days after injury. The spared normal VLWM determined by hyperacute lambda|| and 14-day histology correlated well (r = 0.95). A strong correlation between hindlimb locomotor function recovery and lambda||-determined spared normal VLWM was also observed. The odds of significant locomotor recovery increased by 18% with each 1% increase in normal VLWM measured in the hyperacute phase (odds ratio = 1.18, p = 0.037). The capability of measuring subclinical changes in spinal cord physiology and murine genetic advantages offer an early window into the basic mechanisms of SCI that was not previously possible. Although significant obstacles must still be overcome to derive similar data in human patients, the path to clinical translation is foreseeable and achievable.
Figures







Similar articles
-
Anatomical and functional outcomes following a precise, graded, dorsal laceration spinal cord injury in C57BL/6 mice.J Neurotrauma. 2009 Jan;26(1):1-15. doi: 10.1089/neu.2008.0543. J Neurotrauma. 2009. PMID: 19196178 Free PMC article.
-
Comprehensive locomotor outcomes correlate to hyperacute diffusion tensor measures after spinal cord injury in the adult rat.Exp Neurol. 2012 May;235(1):188-96. doi: 10.1016/j.expneurol.2011.11.015. Epub 2011 Nov 19. Exp Neurol. 2012. PMID: 22119625 Free PMC article.
-
Diffusion tensor imaging predicts hyperacute spinal cord injury severity.J Neurotrauma. 2007 Jun;24(6):979-90. doi: 10.1089/neu.2006.0253. J Neurotrauma. 2007. PMID: 17600514
-
The role of diffusion tensor imaging in the diagnosis, prognosis, and assessment of recovery and treatment of spinal cord injury: a systematic review.Neurosurg Focus. 2019 Mar 1;46(3):E7. doi: 10.3171/2019.1.FOCUS18591. Neurosurg Focus. 2019. PMID: 30835681
-
A Review on Locomotor Training after Spinal Cord Injury: Reorganization of Spinal Neuronal Circuits and Recovery of Motor Function.Neural Plast. 2016;2016:1216258. doi: 10.1155/2016/1216258. Epub 2016 May 11. Neural Plast. 2016. PMID: 27293901 Free PMC article. Review.
Cited by
-
Structural insights into the rodent CNS via diffusion tensor imaging.Trends Neurosci. 2012 Jul;35(7):412-21. doi: 10.1016/j.tins.2012.04.010. Epub 2012 May 30. Trends Neurosci. 2012. PMID: 22651954 Free PMC article. Review.
-
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 Sep 17;16(1):258. doi: 10.1186/s12967-018-1630-4. J Transl Med. 2018. PMID: 30223849 Free PMC article.
-
Dynamic correlation of diffusion tensor imaging and neurological function scores in beagles with spinal cord injury.Neural Regen Res. 2018 May;13(5):877-886. doi: 10.4103/1673-5374.232485. Neural Regen Res. 2018. PMID: 29863019 Free PMC article.
-
Diffusion tensor imaging in acute optic neuropathies: predictor of clinical outcomes.Arch Neurol. 2012 Jan;69(1):65-71. doi: 10.1001/archneurol.2011.243. Epub 2011 Sep 12. Arch Neurol. 2012. PMID: 21911658 Free PMC article.
-
Model-based parcellation of diffusion MRI of injured spinal cord predicts hand use impairment and recovery in squirrel monkeys.Behav Brain Res. 2024 Feb 29;459:114808. doi: 10.1016/j.bbr.2023.114808. Epub 2023 Dec 10. Behav Brain Res. 2024. PMID: 38081518 Free PMC article.
References
-
- Banik N.L. Matzelle D.C. Gantt-Wilford G. Osborne A. Hogan E.L. Increased calpain content and progressive degradation of neurofilament protein in spinal cord injury. Brain Res. 1997;752:301–306. - PubMed
-
- Basso D.M. Beattie M.S. Bresnahan J.C. Graded histological and locomotor outcomes after spinal cord contusion using the NYU weight-drop device versus transection. Exp. Neurol. 1996;139:244–256. - PubMed
-
- Basso D.M. Fisher L.C. Anderson A.J. Jakeman L.B. McTigue D.M. Popovich P.G. Basso Mouse Scale for locomotion detects differences in recovery after spinal cord injury in five common mouse strains. J. Neurotrauma. 2006;23:635–659. - PubMed
-
- Bilgen M. Abbe R. Narayana P.A. Dynamic contrast-enhanced MRI of experimental spinal cord injury: in vivo serial studies. Magn. Reson. Med. 2001;45:614–622. - PubMed
-
- Blight A.R. Macrophages and inflammatory damage in spinal cord injury. J. Neurotrauma. 1992;9(Suppl. 1):S83–S91. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical