Abstract
Study design
Retrospective cohort.
Summary
We present a simple classification system that is able to identify patients with increased odds of losing intraoperative neuromonitoring data during thoracic deformity correction. Type 3 spinal cords, with the cord deformed against the concave pedicle in the axial plane, have ×28 greater odds of losing monitoring data during surgery.
Objectives
Assess preoperative morphology of the spinal cord across the thoracic concavity to predict intraoperative loss of neuromonitoring data.
Methods
128 consecutive patients undergoing surgical correction of a thoracic deformity with pedicle screw/rod constructs were included. Spinal cords were classified into 3 types based on the appearance of the cord on the axial-T2 MRI at the apex of the curve. Type 1 is defined as a circular/symmetric cord with visible CSF between the cord and the apical concave pedicle/vertebral body. Type 2 is a circular/oval/symmetric cord with no visible CSF between the concave pedicle and the cord. Type 3 is a spinal cord that is flattened/deformed by the apical concave pedicle or vertebral body, with no intervening CSF (Fig. 1).
Results
128 patients were reviewed: 81 (63%) Type 1; 32 (25%) Type 2; and 12 (11.7%) Type 3 spinal cords. Lower extremity trans-cranial motor-evoked Potentials (MEPs) and/or somatosensory evoked potentials (SSEPs) were lost intraoperatively in 21 (16%) cases, with full recovery of data in 20 of those cases. On regression analysis, a Type 1 cord was protective against intraoperative data loss (OR = 0.17, p = 0.0003). Type 2 cords had no association with data loss (OR = 0.66, p = 0.49). Type 3 cords had significantly higher odds of intraoperative data loss (OR = 28.3, p < 0.0001).
Conclusions
We present a new spinal cord risk classification scheme to identify patients with increased odds of losing spinal cord monitoring data with thoracic deformity correction. The odds of losing intraoperative MEPs/SSEPs are greater in type 3 spinal cords.
Level of evidence
III.
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References
Raynor BL, Bright JD, Lenke LG et al (2013) Significant change or loss of intraoperative monitoring data: a 25-year experience in 12,375 spinal surgeries. Spine. 38:E101–E108
Wang XB, Lenke LG, Thuet E et al (2016) Deformity angular ratio describes the severity of spinal deformity and predicts the risk of neurologic deficit in posterior vertebral column resection surgery. Spine. 41:1447–1455
Lenke LG, Newton PO, Sucato DJ et al (2013) Complications after 147 consecutive vertebral column resections for severe pediatric spinal deformity: a multicenter analysis. Spine. 38:119–132
Fehlings MG, Brodke DS, Norvell DC et al (2010) The evidence for intraoperative neurophysiological monitoring in spine surgery: does it make a difference? Spine. 35:S37–S46
Feng B, Qiu G, Shen J et al (2012) Impact of multimodal intraoperative monitoring during surgery for spine deformity and potential risk factors for neurological monitoring changes. J Spinal Disord Tech 25:E108–E114
Schwartz DM, Auerbach JD, Dormans JP et al (2007) Neurophysiological detection of impending spinal cord injury during scoliosis surgery. J Bone Joint Surg Am 89:2440–2449
Fehlings MG, Kato S, Lenke LG et al (2018) Incidence and risk factors of post-operative neurological decline after complex adult spinal deformity surgery: results of the scoli-risk-1 study. Spine J 18(10):1733–1740
Gonzalez AA, Jeyanandarajan D, Hansen C et al (2009) Intraoperative neurophysiological monitoring during spine surgery: a review. Neurosurg Focus 27:E6
Xie JM, Zhang Y, Wang YS et al (2014) The risk factors of neurologic deficits of one-stage posterior vertebral column resection for patients with severe and rigid spinal deformities. Eur Spine J 23:149–156
Boachie-Adjei O, Yagi M, Nemani VM et al (2015) Incidence and risk factors for major surgical complications in patients with complex spinal deformity: a report from an SRS GOP site. Spine Deform 3:57–64
Lenke LG, Fehlings MG, Shaffrey CI et al (2016) Neurologic outcomes of complex adult spinal deformity surgery: results of the prospective, multicenter Scoli-RISK-1 study. Spine. 41:204–212
Bridwell KH, Lenke LG, Baldus C et al (1998) Major intraoperative neurologic deficits in pediatric and adult spinal deformity patients. Incidence and etiology at one institution. Spine. 23:324–331
Qiu Y, Wang S, Wang B et al (2008) Incidence and risk factors of neurological deficits of surgical correction for scoliosis: analysis of 1373 cases at one Chinese institution. Spine. 33:519–526
Charosky S, Guigui P, Blamoutier A et al (2012) Complications and risk factors of primary adult scoliosis surgery: a multicenter study of 306 patients. Spine. 37:693–700
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JAS: Substantial contributions to the conception and design of the work; the acquisition, analysis, and interpretation of data for the work. Drafting the work and revising it critically for important intellectual content. Final approval of the version to be published Contributed effort to the study. MC: Substantial contributions to the conception and design of the work; the acquisition, analysis, and interpretation of data for the work. Drafting the work and revising it critically for important intellectual content. Final approval of the version to be published. Contributed effort to the study. GB: Substantial contributions to the conception and design of the work; the acquisition, analysis, and interpretation of data for the work. Revising the work critically for important intellectual content. Final approval of the version to be published. Contributed effort to the study. MP: Substantial contributions to the conception and design of the work; the acquisition, analysis, and interpretation of data for the work. Revising the work critically for important intellectual content. Final approval of the version to be published. Contributed effort to the study. ET: Substantial contributions to the acquisition, analysis, and interpretation of data for the work. Revising the work critically for important intellectual content. Final approval of the version to be published. Contributed effort to the study. RAL: Substantial contributions to the conception and design of the work. Revising the work critically for important intellectual content. Final approval of the version to be published. Contributed cases or effort to the study. LGL: Substantial contributions to the conception and design of the work. Revising the work critically for important intellectual content. Final approval of the version to be published. Contributed cases or effort to the study. All authors read and approved the final manuscript.
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This manuscript was accepted and presented at the 2018 Scoliosis Research Society Meeting.
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Sielatycki, J.A., Cerpa, M., Baum, G. et al. A novel MRI-based classification of spinal cord shape and CSF presence at the curve apex to assess risk of intraoperative neuromonitoring data loss with thoracic spinal deformity correction. Spine Deform 8, 655–661 (2020). https://doi.org/10.1007/s43390-020-00101-9
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DOI: https://doi.org/10.1007/s43390-020-00101-9