摘要
目的:探讨人工智能辅助全髋关节置换术(THA)的临床疗效及相关影响因素。方法:选取2021年9月至2023年9月行初次全髋关节置换术患者163例,分为人工智能辅助全髋关节置换术三维规划系统(AIHIP)组和二维模板组。AIHIP组应用AIHIP进行术前规划;二维模板组应用传统X线片二维模板进行术前规划。比较两组术前规划时间、术中出血量、手术时间;髋臼杯、股骨柄型号±0号和±1号准确率;术后双下肢长度差值、双侧联合偏心距差值及Harris髋关节功能评分。结果:两组患者术前规划时间、术中出血量、手术时间比较差异无统计学意义(P>0.05)。AIHIP组髋臼杯、股骨柄型号±0号和±1号准确率及术后双下肢长度差值、双侧联合偏心距差值、末次随访Harris评分均优于二维模板组,差异有统计学意义(P<0.05)。分析结果显示年龄、股骨Dorr分类影响AIHIP组规划股骨柄假体准确性,年龄、诊断影响AIHIP组规划髋臼杯假体准确性。结论:AIHIP规划辅助全髋关节置换术较二维模板规划可以进一步提高术前规划假体准确率,有助于手术更精准化,更好地恢复下肢长度及功能,值得进一步推广应用。性别、体重指数可能不影响AIHIP应用的准确性,但年龄、诊断、股骨Dorr分类可能会造成影响。
Objective:To investigate the clinical efficacy and related influencing factors of artificial intelligence based three-dimensional preoperative planning system for total hip arthroplasty(AIHIP).Methods:From September 2021 to September 2023,163 patients undergoing primary total hip arthroplasty were divided into the AIHIP group and the two-dimensional(2D)template group.Preoperative planning time,intraoperative blood loss,and surgical time were compared between the two groups.The accuracy of acetabular cup and femoral stem sizes±0 and±1;postoperative differences between bilateral lower limb length,bilateral combined offset distance,and Harris scores were also compared.Results:There were no statistically significant differences in preoperative planning time,intraoperative blood loss,and surgical time between the two groups(P>0.05).The AIHIP group demonstrated superior accuracy in acetabular cup and femoral stem sizes±0 and±1,postoperative difference between bilateral lower limb length,bilateral combined offset distance difference,and final follow-up Harris scores compared to the 2D template group,with statistically significant differences(P<0.05).The data showed that age and femoral Dorr classification affect the accuracy of femoral stem planning in the AIHIP group,while age and diagnosis affected the accuracy of acetabular cup planning.Conclusion:AIHIP planning assistance in total hip arthroplasty(THA)can further improve the accuracy of preoperative planning of prostheses compared to 2D template planning,contributing to more precise surgery and better restoration of lower limb length and function,which is worth further promotion.Gender and body mass index may not affect the accuracy of AIHIP application,but age,diagnosis,and femoral Dorr classification may have an impact.
作者
许志庆
龚志兵
张前进
庄至坤
吴荣凯
吴昭克
XU Zhiqing;GONG Zhibing;ZHANG Qianjin;ZHUANG Zhikun;WU Rongkai;WU Zhaoke(Quanzhou Orthopedics-Traumatological Hospital,Quanzhou 362000,Fujian China)
出处
《中国中医骨伤科杂志》
2025年第5期61-68,共8页
Chinese Journal of Traditional Medical Traumatology & Orthopedics
基金
泉州市级科技计划项目(2023NS090)
福建省科技计划项目青年科研课题(2022QNB007)。
关键词
人工智能
全髋关节置换术
临床疗效
影响因素
artificial intelligence
total hip arthroplasty
clinical efficacy
influencing factors
