局解手术学杂志2025，Vol.34Issue(7)：563-569,7.DOI:10.11659/jjssx.10E024013
膝关节软骨厚度预测模型构建的可行性研究
Feasibility study on the construction of predictive models of knee joint cartilage thickness
摘要
Abstract
Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.关键词
骨关节炎/膝关节/软骨厚度/机器人手术/回归分析/预测模型Key words
osteoarthritis/knee joint/cartilage thickness/robotic surgery/regression analysis分类
医药卫生引用本文复制引用
程治铭,许中华,满孝军,李玉恒,刘载阳,张瑗..膝关节软骨厚度预测模型构建的可行性研究[J].局解手术学杂志,2025,34(7):563-569,7.基金项目
国家卫生健康委科学技术研究所重大项目(2023HX002108) （2023HX002108）
重庆市技术创新与应用发展重点项目(CSTB2022TIAD-KPX0174) （CSTB2022TIAD-KPX0174）
重庆市中青年高端医学人才工作室项目(2022-15) （2022-15）
