Application of an artificial intelligence-assisted automatic measurement system based on plain X-ray films in mechanical alignment assessment of knee arthroplasty(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2026年第5期
- Page:
- 690-694
- Research Field:
- 医学人工智能
- Publishing date:
Info
- Title:
- Application of an artificial intelligence-assisted automatic measurement system based on plain X-ray films in mechanical alignment assessment of knee arthroplasty
- Author(s):
- XIE Jianhong; QUE Wutang; HU Xiunian; TU Xuezhao; LAN Weibin
- Longyan First Hospital Affiliated to Fujian Medical University, Longyan 364000, China
- Keywords:
- Keywords: plain X-ray film artificial intelligence-assisted automatic measurement system total knee arthroplasty lower limb mechanical alignment
- PACS:
- R318
- DOI:
- DOI:10.3969/j.issn.1005-202X.2026.05.018
- 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.
Last Update: 2026-05-29