Development and validation of machine learning models to predict vertebral artery injury by C2 pedicle screws

This study established an ML-driven predictive model for VAI during C2PS placement, highlighting six critical anatomical and radiological risk factors. Integrating this model into clinical workflows may optimize preoperative planning, reduce complications, and improve surgical outcomes. External validation in multicenter cohorts is warranted to enhance generalizability.

Authors

博東野 (ORCID: https://orcid.org/0009-0009-6831-1917)
Hailan Meng (ORCID: https://orcid.org/0000-0002-3862-5810)
Chen Guo-lin (ORCID: https://orcid.org/0009-0001-3056-8145)
Lequn Shan (ORCID: https://orcid.org/0000-0001-7015-5436)
Bowen Wang (ORCID: https://orcid.org/0000-0002-5245-4683)
Yang Sun

Institutions

Xi'an Honghui Hospital (CN)
Yan'an University (CN)
People's Hospital of Kaizhou District (CN)
Xi'an Jiaotong University (CN)

Publication Details

Journal: European Spine Journal
Published: 2025-08-12
DOI: https://doi.org/10.1007/s00586-025-09168-2
Primary Topic: Spinal Fractures and Fixation Techniques
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Honghui Hospital
Yakult Bio-Science Foundation

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article

Development and validation of machine learning models to predict vertebral artery injury by C2 pedicle screws

博東野, Hailan Meng, Chen Guo-lin, Lequn Shan et al.

Aug 12, 2025

European Spine Journal

Spinal Fractures and Fixation Techniques

article

Development and validation of machine learning models to predict vertebral artery injury by C2 pedicle screws

博東野, Hailan Meng, Chen Guo-lin, Lequn Shan, Bowen Wang, Yang Sun

August 12, 2025article en

Abstract

This study established an ML-driven predictive model for VAI during C2PS placement, highlighting six critical anatomical and radiological risk factors. Integrating this model into clinical workflows may optimize preoperative planning, reduce complications, and improve surgical outcomes. External validation in multicenter cohorts is warranted to enhance generalizability.

European Spine JournalVol. 34(9)

Xi'an Honghui Hospital (CN), Yan'an University (CN), People's Hospital of Kaizhou District (CN), Xi'an Jiaotong University (CN)

Honghui Hospital, Yakult Bio-Science Foundation

Openalex Percentile: Top 67%

Spinal Fractures and Fixation Techniques

DOI Open Access PDF OpenAlex

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