Comparison of traditional template measurements and artificial intelligence preoperative planning in total knee arthroplasty

作者：Meipeng Min, Xiaotian Wang, Rafi Urba, Wenjie Zhang, Jia Gao, Lei Fan · 发表于：Frontiers in Surgery · 年份：2025 · DOI：10.3389/fsurg.2025.1573148 · 被引用次数：9 · 研究领域：Total Knee Arthroplasty Outcomes、Artificial Intelligence in Healthcare and Education、Radiomics and Machine Learning in Medical Imaging

Background The poor reliability of preoperative planning measured by traditional x-ray templates increases the difficulty of osteotomy and prosthesis implantation during an operation, which to some extent affects the surgical outcome of total knee arthroplasty and postoperative satisfaction of patients. Objective To evaluate the accuracy and effectiveness of artificial intelligence (AI) preoperative planning in total knee arthroplasty (TKA). Methods We prospectively selected 48 patients who underwent primary total knee arthroplasty for knee osteoarthritis in our Joint Surgery Department between March 2021 and May 2022. The test group included 24 patients who underwent three-dimensional preoperative planning using artificial intelligence (AI), and the control group consisted of 24 patients who underwent two-dimensional preoperative planning using traditional template measurement. The differences were not statistically significant when comparing the general information of the two groups, such as gender, age, BMI, affected side category, ASA classification, history of diabetes, history of stroke ( P > 0.05). For analyzing the accuracy and application effect of the two preoperative planning methods, the intraoperative operation time, intraoperative blood loss, postoperative drainage volume, postoperative lower limb alignment angle, VAS score, and AKS score were compared between the two groups. Results All patients were followed for 6–8 months, and no postoperative complica...