Application of machine learning in prediction of bone cement leakage during single-level thoracolumbar percutaneous vertebroplasty

Application of machine learning in prediction of bone cement leakage during single-level thoracolumbar percutaneous vertebroplasty

Abstract Background In the elderly, osteoporotic vertebral compression fractures (OVCFs) of the thoracolumbar vertebra are common, and percutaneous vertebroplasty (PVP) is a common surgical method after fracture. Machine learning (ML) was used in this study to assist clinicians in preventing bone ce...

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Bibliographic Details
Main Authors: Guobing Deng, Jichong Zhu, Qing Lu, Chong Liu, Tuo Liang, Jie Jiang, Hao Li, Chenxing Zhou, Shaofeng Wu, Tianyou Chen, Jiarui Chen, Yuanlin Yao, Shian Liao, Chaojie Yu, Shengsheng Huang, Xuhua Sun, Liyi Chen, Zhen Ye, Hao Guo, Wuhua Chen, Wenyong Jiang, Binguang Fan, Zhenwei Yang, Wenfei Gu, Yihan Wang, Xinli Zhan
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Surgery
Subjects:
OVCFs
PVP
Machine learning algorithms
Prediction model
Nomogram
Online Access:https://doi.org/10.1186/s12893-023-01959-y

Internet

https://doi.org/10.1186/s12893-023-01959-y

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