基于X线平片的AI自动测量系统在膝关节置换力线评估中的应用-《中国医学物理学杂志》

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Title:: Application of an artificial intelligence-assisted automatic measurement system based on plain X-ray films in mechanical alignment assessment of knee arthroplasty

文章编号:: 1005-202X（2026）05-0690-05

作者:: 谢建鸿; 阙武堂; 胡秀年; 涂学招; 兰伟斌; 福建医科大学附属龙岩第一医院，福建龙岩 364000

Author(s):: XIE Jianhong; QUE Wutang; HU Xiunian; TU Xuezhao; LAN Weibin; Longyan First Hospital Affiliated to Fujian Medical University, Longyan 364000, China

关键词:: X线平片; AI自动测量系统; 膝关节置换; 下肢力线

Keywords:: Keywords: plain X-ray film artificial intelligence-assisted automatic measurement system total knee arthroplasty lower limb mechanical alignment

分类号:: R318

DOI:: DOI:10.3969/j.issn.1005-202X.2026.05.018

文献标志码:: A

摘要:: 目的：探讨基于X线平片的AI自动测量系统在膝关节置换力线评估中的准确性、稳定性及应用价值。方法：选取2023年1月至2024年1月福建医科大学附属龙岩第一医院收治的58例膝关节骨性关节炎患者为传统组，采用传统人工手动测量相关数据；2024年2月至2025年2月收治的61例患者为AI测量组，采用AI自动测量系统进行分析。比较两组术前下肢力线角度、术后膝关节活动度以及术后6个月力线角度。结果：两组基于X线平片的不同测量方式进行下肢力线相关角度测量，测量结果具有显著差异（P<0.05）；传统组髋-膝-踝角、机械股骨远端外侧角、机械胫骨近端内侧角与AI测量组比较存在显著差异（P<0.05）。结论：基于X线平片的AI自动测量系统能够显著提升下肢力线角度测量的精确度和效率。

Abstract:: Abstract: Objective To evaluate the accuracy, reproducibility, and clinical utility of an artificial intelligence (AI)-assisted automatic measurement system based on plain X-ray films for assessing lower limb mechanical alignment before and after total knee arthroplasty. Methods A total of 58 patients with knee osteoarthritis who were admitted to Longyan First Hospital Affiliated to Fujian Medical University between January 2023 and January 2024 were enrolled as the conventional group and evaluated by manual measurement. Another 61 patients who were admitted between February 2024 and February 2025 were included in the AI group, with all measurements and analyses performed using AI automatic measurement software. Preoperative lower-limb mechanical alignment angles, postoperative keen range of motion, and mechanical alignment angles at 6 months postoperatively were compared between the two groups. Results Two measurement methods based on plain X-ray films were adopted to measure angles related to lower limb mechanical alignment, and statistically significant inter-group differences were observed in measurement results (P<0.05). The hip-knee-ankle angle, mechanical lateral distal femoral angle, and mechanical medial proximal tibial angle in the conventional group were significantly different from those in the AI group (P<0.05). Conclusion The AI-assisted automatic measurement system using plain X-ray films substantially improves both the precision and efficiency of lower limb mechanical alignment assessment.

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

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