A Novel Preoperative Scoring System to Accurately Predict Cord-Level Intraoperative Neuromonitoring Data Loss During Spinal Deformity Surgery: A Machine-Learning Approach

Lee, N. J., Lenke, L. G., Arvind, V., Shi, T., Dionne, A. C., Nnake, C., Yeary, M., Fields, M., Simhon, M., Ferraro, A., Cooney, M., Lewerenz, E., Reyes, J. L., Roth, S. G., Hung, C. W., Scheer, J. K., Zervos, T., Thuet, E. D., Lombardi, J. M., … Hassan, F. M. (2024). A Novel Preoperative Scoring System to Accurately Predict Cord-Level Intraoperative Neuromonitoring Data Loss During Spinal Deformity Surgery. Journal of Bone and Joint Surgery. https://doi.org/10.2106/jbjs.24.00386
Authors:
Nathan J Lee
Lawrence G Lenke
Varun Arvind
Ted Shi
Alexandra C Dionne
Chidebelum Nnake
Mitchell Yeary
Michael Fields
Matt Simhon
Anastasia Ferraro
Matthew Cooney
Erik Lewerenz
Justin L Reyes
Steven G Roth
Chun Wai Hung
Justin K Scheer
Thomas Zervos
Earl D Thuet
Joseph M Lombardi
Zeeshan M Sardar
Ronald A Lehman
Benjamin D Roye
Michael G Vitale
Fthimnir M Hassan
Affiliated Authors:
Nathan J Lee
Lawrence G Lenke
Varun Arvind
Ted Shi
Alexandra C Dionne
Chidebelum Nnake
Mitchell Yeary
Michael Fields
Matt Simhon
Anastasia Ferraro
Matthew Cooney
Erik Lewerenz
Justin L Reyes
Steven G Roth
Chun Wai Hung
Justin K Scheer
Thomas Zervos
Earl D Thuet
Joseph M Lombardi
Zeeshan M Sardar
Ronald A Lehman
Benjamin D Roye
Michael G Vitale
Fthimnir M Hassan
Publication Type:
Article
Unique ID:
10.2106/jbjs.24.00386
PMID:
Publication Date:
Data Source:
PubMed

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