1887
  1. Home
  2. A-Z Publications
  3. Journal of Emergency Medicine, Trauma and Acute Care
  4. Volume 2023, Issue 4
  5. Article
Volume 2023, Issue 4
  • ISSN: 1999-7086
  • EISSN: 1999-7094

Abstract

Neuroimaging and electrodiagnostic studies are used to evaluate the changes in the spinal cord after trauma, both for clinical and research purposes. The aim of the present study was to find a correlation between the MRI and electrodiagnostic testing for acute traumatic spinal cord injury (SCI) over different points in time.

Thirty-five patients with acute SCI presenting within 48 h of injury and completing a minimum of 6 months of regular follow-up comprised the study population. Patients were examined clinically for neurological involvement as per international guidelines. Magnetic resonance imaging (MRI) spine and electrodiagnostic testing of both lower limbs [two motor (tibial and peroneal) and one sensory (sural) nerve] and five muscles (Iliopsoas, Vastus medialis, Tibialis anterior, Gastrocnemius, and Extensor hallucis longus (EHL)] were done at admission, 3 and 6 months.

Quantitative MRI parameters [maximum spinal cord compression (MSCC), maximum canal compromise (MCC), and lesion length (LL)] showed a significant correlation to motor nerve conduction velocity and sensory nerve conduction velocity at all points in time. Electromyography of tested muscles at admission showed a significant correlation (Spearman’s correlation test) with MRI quantitative parameters (−0.818 to −0.510); stenosis (−0.564 to −0.347) except right EHL for peak to peak amplitude; and disk herniation (−0.427 to −0.339) except tibialis anterior for recruitment of motor unit potential (MUP) and iliopsoas, right gastrocnemius, and EHL for peak to peak amplitude. This correlation remained significant even at 3 and 6 months post-acute SCI.

The quantitative MRI parameters, along with a few of the qualitative parameters, show a significant correlation with electrodiagnostic features at different points in acute traumatic SCI.

© 2023 Singh, Meena, Wadhwani, Rohilla, Kaur, Kaur, licensee HBKU.
Loading

Article metrics loading...

/content/journals/10.5339/jemtac.2023.31
2023-10-26
2024-07-04
Loading full text...

Full text loading...

/deliver/fulltext/jemtac/2023/4/jemtac.2023.31.html?itemId=/content/journals/10.5339/jemtac.2023.31&mimeType=html&fmt=ahah

References

  1. Fujiyoshi K, Konomi T, Yamada M, Hikishima K, Tsuji O, Komaki Y, et al. Diffusion tensor imaging and tractography of the spinal cord: From experimental studies to clinical application.. Exp Neurol. 2013; 242:(4):74–82.
     [Google Scholar]
  2. Singh R, Meena VS, Sharma P, Kaur K, Svareen. Prospective evaluation of relationship between MRI findings and ASIA score to predict neurological recovery in acute traumatic spinal cord injury.. Int J Spine Res. 2020; 2:(1):008–13. doi: 10.17352/ijsr.000008.
     [Google Scholar]
  3. Singh R, Kumar RR, Setia N, Magu S. A prospective study of neurological outcome in relation to findings of imaging modalities in acute spinal cord injury. Asian J Neurosurg. 2015 Jul-Sep; 10:(3):181–9. doi: 10.4103/1793-5482.161166.
     [Google Scholar]
  4. Lee J, Koh SE, Jung H, Lee HY, Lee IS. Can MRI findings help to predict neurological recovery in paraplegics with thoracolumbar fracture? Ann Rehabil Med. 2015; 39:(6):922–30. doi: 10.5535/arm.2015.39.6.922.
     [Google Scholar]
  5. Seif M, Wheeler-Kingshott CAMG, Cohen-Adad J, Flanders AE, Freund P. Guidelines for the conduct of clinical trials in spinal cord injury: Neuroimaging biomarkers. Spinal Cord. 2019; 57::717–28. doi: 10.1038/s41393-019-0309-x.
     [Google Scholar]
  6. Freund P, Seif M, Weiskopf N, Friston K, Fehlings MG, Thompson AJ, et al. MRI in traumatic spinal cord injury: From clinical assessment to neuroimaging biomarkers. Lancet Neurol. 2019; 18:(12):1123–35. doi: 10.1038/s41393-019-0331-z.
     [Google Scholar]
  7. Hubli M, Kramer JLK, Jutzeler CR, Rosner J, Furlan JC, Keith E, et al. Application of electrophysiological measures in spinal cord injury clinical trials: A narrative review. Spinal Cord. 2019; 57:(11):909–23. doi: 10.1038/s41393-019-0331-z.
     [Google Scholar]
  8. Singh R, Wadhwani J, Meena VS, Sharma P. Kaur K, Svareen. Electrophysiological study in acute spinal cord injury patients: Its correlation to neurological deficit and subsequent recovery assessment by ASIA Score. Ind J Orthop. 2020; 54:(5):678–86. doi: 10.1007/s43465-020-00108-4.
     [Google Scholar]
  9. Zakrasek EC, Jaramillo JP, Lateva ZC, Punj V, Kiratli VJ, McGill KC. Quantitative electrodiagnostic patterns of damage and recovery after spinal cord injury: A pilot study. Spinal Cord Ser Cases. 2019; 5::101. doi: 10.1038/s41394-019-0246-0.
     [Google Scholar]
  10. Xie J, Boakye M. Electrophysiological outcomes after spinal cord injury. Neurosurg Focus. 2008; 25:(5):E11. doi: 10.3171/FOC.2008.25.11.E11.
     [Google Scholar]
  11. Korupolu R, Stampas A, Singh M, Zhou P, Francisco G. Electrophysiological outcome measures in spinal cord injury clinical trials: A systematic review. Top Spinal Cord Inj Rehabil. 2019; 25:(4):340–54. doi: 10.1310/sci2504-340.
     [Google Scholar]
  12. Matsushita A, Maeda T, Mori E. Can the acute magnetic resonance imaging features reflect neurologic prognosis in patients with cervical spinal cord injury? Spine J. 2017; 17::1319–24. doi: 10.1016/j.spinee.2017.05.009.
     [Google Scholar]
  13. Kirshblum SC, Burns SP, Biering-Sorensen F, Donovan W, Graves DE, Jha A, et al. International standards for neurological classification of spinal cord injury (revised 2011). J Spinal Cord Med. 2011 Nov; 34:(6):535–46. doi: 10.1179/204577211X13207446293695.
     [Google Scholar]
  14. Fehlings MG, Rao SC, Tator CH, Skaf G, Arnold P, Benzel E, et al. The optimal radiologic method for assessing spinal canal compromise and cord compression in patients with cervical spinal cord injury. Part II: Results of a multicenter study. Spine (Phila Pa 1976). 1999; 24:(6):605–13. doi: 10.1097/00007632-199903150-00023.
     [Google Scholar]
/content/journals/10.5339/jemtac.2023.31
Loading
Evaluation of the relationship between MRI and electrodiagnostic tests in acute traumatic spinal cord injury
Journal of Emergency Medicine, Trauma and Acute Care 2023, 31 (2023); https://doi.org/10.5339/jemtac.2023.31
/content/journals/10.5339/jemtac.2023.31
/content/journals/10.5339/jemtac.2023.31
Loading

Data & Media loading...

Keyword(s): ASIA score, electromyography, magnetic resonance imaging, nerve conduction and spinal cord injury

Most Cited Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error