Jefferson Wilson




Dr. Jefferson Wilson is a surgeon-scientist at St. Michael’s Hospital and Associate Professor in the Department of Surgery at the University of Toronto. He currently holds the Labatt Endowed Chair in Neurosurgery at Unity Health. Dr Wilson’s clinical practice is focused on the surgical management of complex disorders of the spine and spinal cord. He also leads a clinical research program investigating both traumatic and non-traumatic spinal cord injury, with a specific interest in the development of predictive models and algorithms to help guide treatment and forecast outcomes. His research has been supported through several grants from organizations including the Canadian Institutes of Health Research, the Christopher and Dana Reeve Foundation, AOSpine, Neurosurgery Research and Education Foundation and the Cervical Spine Research Society. Dr. Wilson currently chairs a national evidence based spine surgery course for residents and fellows and serves on the editorial boards of Journal of Neurosurgery Spine and Clinical Spine Surgery.

Recent Publications

  1. Tetreault, L, Kalsi-Ryan, S, Benjamin Davies,, Nanna-Lohkamp, L, Garwood, P, Martin, AR et al.. Degenerative Cervical Myelopathy: A Practical Approach to Diagnosis. Global Spine J. 2022; :21925682211072847. doi: 10.1177/21925682211072847. PubMed PMID:35043715 .
  2. Tetreault, L, Garwood, P, Gharooni, AA, Touzet, AY, Nanna-Lohkamp, L, Martin, A et al.. Improving Assessment of Disease Severity and Strategies for Monitoring Progression in Degenerative Cervical Myelopathy [AO Spine RECODE DCM Research Priority Number 4]. Global Spine J. 2021; :21925682211063854. doi: 10.1177/21925682211063854. PubMed PMID:34971524 .
  3. Mowforth, OD, Khan, DZ, Wong, MY, Pickering, GAE, Dean, L, Magee, J et al.. Gathering Global Perspectives to Establish the Research Priorities and Minimum Data Sets for Degenerative Cervical Myelopathy: Sampling Strategy of the First Round Consensus Surveys of AO Spine RECODE-DCM. Global Spine J. 2021; :21925682211047546. doi: 10.1177/21925682211047546. PubMed PMID:34879754 .
  4. Evaniew, N, Charest-Morin, R, Jacobs, WB, Johnson, M, Bailey, CS, Christie, S et al.. Cervical Sagittal Alignment in Patients with Cervical Spondylotic Myelopathy: An Observational Study from the Canadian Spine Outcomes and Research Network. Spine (Phila Pa 1976). 2021; :. doi: 10.1097/BRS.0000000000004296. PubMed PMID:34845179 .
  5. Martin, AR, Tetreault, L, Davies, BM, Curt, A, Freund, P, Rahimi-Movaghar, V et al.. Imaging and Electrophysiology for Degenerative Cervical Myelopathy [AO Spine RECODE DCM Research Priority Number 9]. Global Spine J. 2021; :21925682211057484. doi: 10.1177/21925682211057484. PubMed PMID:34797993 .
  6. Jentzsch, T, Cadotte, DW, Wilson, JR, Jiang, F, Badhiwala, JH, Akbar, MA et al.. Spinal Cord Signal Change on Magnetic Resonance Imaging May Predict Worse Clinical In- and Outpatient Outcomes in Patients with Spinal Cord Injury: A Prospective Multicenter Study in 459 Patients. J Clin Med. 2021;10 (20):. doi: 10.3390/jcm10204778. PubMed PMID:34682902 PubMed Central PMC8537526.
  7. Zipser, CM, Margetis, K, Pedro, KM, Curt, A, Fehlings, M, Sadler, I et al.. Increasing awareness of degenerative cervical myelopathy: a preventative cause of non-traumatic spinal cord injury. Spinal Cord. 2021;59 (11):1216-1218. doi: 10.1038/s41393-021-00711-8. PubMed PMID:34628477 PubMed Central PMC8560634.
  8. Furlan, JC, Wilson, JR, Massicotte, EM, Sahgal, A, Fehlings, MG. Recent advances and new discoveries in the pipeline of the treatment of primary spinal tumors and spinal metastases: a scoping review of registered clinical studies from 2000 to 2020. Neuro Oncol. 2022;24 (1):1-13. doi: 10.1093/neuonc/noab214. PubMed PMID:34508647 PubMed Central PMC8730766.
  9. Chan, V, Witiw, CD, Wilson, JRF, Wilson, JR, Coyte, P, Fehlings, MG et al.. Frailty is an important predictor of 30-day morbidity in patients treated for lumbar spondylolisthesis using a posterior surgical approach. Spine J. 2022;22 (2):286-295. doi: 10.1016/j.spinee.2021.08.008. PubMed PMID:34500077 .
  10. Salehinejad, H, Kitamura, J, Ditkofsky, N, Lin, A, Bharatha, A, Suthiphosuwan, S et al.. A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography. Sci Rep. 2021;11 (1):17051. doi: 10.1038/s41598-021-95533-2. PubMed PMID:34426587 PubMed Central PMC8382750.
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Affiliations & Other Activities

  • Staff Surgeon, Division of Neurosurgery, St. Michael’s Hospital
  • Assistant Professor, Department of Surgery, University of Toronto