文章摘要
万超,董圣杰,王诗军,等.人工智能辅助手术规划系统在个体化全髋关节假体精准植入中的应用.骨科,2022,13(3): 204-211.
人工智能辅助手术规划系统在个体化全髋关节假体精准植入中的应用
Application of Artificial Intelligence Assisted Preoperative Planning System for Individualization and Precise Implantation of Prosthesis in Total Hip Arthroplasty
投稿时间:2021-10-12  
DOI:10.3969/j.issn.1674-8573.2022.03.003
中文关键词: 关节成形术,置换,髋  模板测量  人工智能  三维
英文关键词: Arthroplasty, replacement, hip  Templating measurement  Artificial intelligence  Three-dimension
基金项目:
作者单位E-mail
万超 烟台市烟台山医院关节外科山东烟台 264003  
董圣杰 烟台市烟台山医院关节外科山东烟台 264003  
王诗军 烟台市烟台山医院关节外科山东烟台 264003 wangshijun2018yt@163.com 
张逸凌 北京长木谷医疗科技有限公司北京 100190  
刘星宇 北京长木谷医疗科技有限公司北京 100190  
杨克建 烟台市烟台山医院影像科山东烟台 264003  
赵宇驰 烟台市烟台山医院关节外科山东烟台 264003  
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中文摘要:
      目的 与传统二维胶片模板测量术前计划比较,探讨人工应用智能辅助三维数字化手术规划系统在个体化全髋关节置换术(total hip arthroplasty,THA)假体植入中应用的准确性。方法 回顾性分析88例行单侧THA手术病人的临床资料,其中传统模板组(44例),人工智能组(44例),记录比较两组在假体型号大小选择、植入位置、患侧偏心距、双下肢等长重建等方面的差异。结果 人工智能组髋臼杯和股骨柄假体型号的预测吻合率分别为95.5%、88.6%,均高于传统模板组的75.0%、65.9%,差异有统计学意义(P<0.05)。人工智能组手术后偏心距和肢体长度的差值分别为(4.73±2.97) mm、(3.42±2.32) mm,均较传统模板组更小,差异有统计学意义(P<0.05)。结论 人工智能辅助手术规划系统对人工髋关节假体型号的预测、患侧肢体偏心距的恢复、双下肢等长重建更加精准。
英文摘要:
      Objective To discuss the accuracy of artificial intelligence (AI) assisted three-dimensional (3D) digital preoperative planning system in individualized selection of prosthesis in total hip arthroplasty (THA) compared with traditional two-dimensional (2D) film templating preoperative planning. Methods A retrospective study was conducted on 88 patients undergoing unilateral primary THA with cementless prostheses. The patients were divided into traditional template group (44 cases) and AI group (44 cases). The predicted coincidence rate of acetabular cup and femoral stem prosthesis size were compared between the two groups. The differences in implantation position, offset, and leg length reconstruction between the two groups were recorded and compared. Results The predicted coincidence rate of acetabular cup and femoral stem prosthesis in AI group was 95.5% and 88.6% respectively, which was higher than 75.0% and 65.9% in traditional template group (P<0.05). The differences in bilateral global offsets and leg length in AI group were (4.73±2.97) mm and (3.42±2.32) mm respectively, which were smaller than those in traditional template group (P<0.05). Conclusion AI-assisted preoperative planning system is more accurate in predicting the model size of acetabular cup and femoral stem, restoring the global offset of hip and reconstructing the equal length of lower limbs.
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