Application of artificial intelligence hip system for preoperative planning total hip arthroplasty
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NETL
NSTL
万方数据
[目的]探讨人工智能THA术前规划系统(artificial intelligence hip,AIHIP)在全髋置换术(total hip arthroplasty,THA)应用的临床价值.[方法]选择2020年3月-2022年1月拟行单侧初次THA的112例患者,依据术前医患沟通结果,74例使用AIHIP系统(智能组),38例使用二维模板测量(常规组)进行术前规划.比较两组围手术期、随访及影像结果.[结果]智能组在手术时间[(78.4±29.6)min vs(89.1±34.3)min,P＜0.05]、髋臼假体符合率(98.6％vs 78.9％,P＜0.05)、股骨假体符合率(100.0％vs84.2％,P＜0.05)均显著优于常规组.两组切口长度、术中失血量、切口愈合等级、下地时间、住院时间的差异均无统计学意义(P＞0.05).所有患者均获随访12个月以上,智能组恢复完全负重活动时间显著早于常规组[(21.8±4.8)dvs(23.0±5.2)d,P＜0.05].随时间推移,两组患者髋关节Harris评分、伸屈ROM、VAS评分均显著改善(P＜0.05);术后1、6个月,智能组Harris评分和伸屈ROM、VAS评分均显著优于常规组(P＜0.05),但术后12个月时,两组上述指标的差异已无统计学意义(P＞0.05).影像方面,术后两组髋臼假体外翻角、前倾角、LLD、股骨柄大小合适程度及放置位置的差异均无统计学意义(P＞0.05).但是,智能组术后纵向髋旋转中心偏移[(1.0±0.0)mm vs(2.0±0.0)mm,P＜0.05]和横向髋旋转中心偏移[(2.0±0.0)mm vs(3.0±0.0)mm,P＜0.05]均显著小于常规组.[结论]AIHIP系统辅助下THA术前规划准确率高,能有效帮助重建髋关节旋转中心,缩短手术时间,早期恢复髋关节功能.
[Objective]To evaluate the clinical value of artificial intelligence hip(AIHIP)system used in preoperative planning for total hip arthroplasty(THA).[Methods]A total of 112 patients who were undergoing unilateral primary THA from March 2020 to January 2022 were selected.According to preoperative doctor-patient communication,AIHIP system was used in 74 cases(intelligent group)and 2D tem-plate measurement was used in 38 cases(conventional group)for preoperative planning.The documents of perioperative period,follow-up and imaging were compared between the two groups.[Results]The intelligent group proved significantly superior to the conventional group in terms of operative time[(78.4±29.6)min vs(89.1±34.3)min,P＜0.05],accordance rate of acetabular component(98.6％vs 78.9％,P＜0.05)and accordance rate of femoral component(100.0％vs 84.2％,P＜0.05),despite of insignificant differences in incision length,intraoperative blood loss,incision healing grade,ambulation time,and hospital stay between the two groups(P＞0.05).All patients were followed up for more than 12 months,and the intelligent group resumed full weight-bearing activities significantly earlier than the conventional group[(21.8±4.8)days vs(23.0±5.2)days,P＜0.05].The Harris hip score,flexion-extension ROM and VAS scores significantly improved in both groups over time(P＜0.05).The intelligent group was significantly better than the conventional group in terms of Harris scores,extension ROM and VAS scores 1 and 6 months after operation(P＜0.05),but there was no statistically significant difference in abovementioned items between the two groups 12 months after surgery(P＞0.05).Radiographically,there were no statistically significant differences between the two groups in terms of acetabular abduction and anteversion,as well as leg length discrepancy(LLD),femoral stem size and its placement(P＞0.05).However,the intelligent group was significantly superior to the conventional group in deviation values of longitudinal hip center of rota-tion[(1.0±0.0)mm vs(2.0±0.0)mm,P＜0.05]and transverse hip center of rotation[(2.0±0.0)mm vs(3.0±0.0)mm,P＜0.05]postoperatively.[Conclusion]The AIHIP system has high accuracy in preoperative planning for THA,which can effectively help to reconstruct hip rotation center,shorten operation time and restore hip function in early stage.
total hip arthroplastypreoperative planningartificial intelligencetemplate measurement
NETL
NSTL
万方数据
