Prediction of Proximal Junctional Kyphosis After Posterior Scoliosis Surgery With Machine Learning in the Lenke 5 Adolescent Idiopathic Scoliosis Patient

Prediction of Proximal Junctional Kyphosis After Posterior Scoliosis Surgery With Machine Learning in the Lenke 5 Adolescent Idiopathic Scoliosis Patient

ObjectiveTo build a model for proximal junctional kyphosis (PJK) prognostication in Lenke 5 adolescent idiopathic scoliosis (AIS) patients undergoing long posterior instrumentation and fusion surgery by machine learning and analyze the risk factors for PJK.Materials and MethodsIn total, 44 AIS patie...

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Bibliographic Details
Main Authors: Li Peng, Lan Lan, Peng Xiu, Guangming Zhang, Bowen Hu, Xi Yang, Yueming Song, Xiaoyan Yang, Yonghong Gu, Rui Yang, Xiaobo Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
spinal deformity
proximal junctional kyphosis
sagittal malalignment
machine learning
prediction model
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2020.559387/full

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