The accuracy of artificial intelligence-assisted design and 3D printed personalized osteotomy guide plates in assisting total knee arthroplasty
10.3760/cma.j.cn431274-20240703-01023
- VernacularTitle:人工智能辅助设计与3D打印个性化截骨导板辅助人工全膝关节置换术的精准度
- Author:
Bin HUANG
1
;
Linwu LI
;
Xi SHENG
Author Information
1. 广西壮族自治区第二人民医院运动医学与关节外科，桂林 541002
- Publication Type:Journal Article
- Keywords:
Arthroplasty, replacement, knee;
Artificial intelligence;
3D printing;
Personalized osteotomy guide plate
- From:
Journal of Chinese Physician
2025;27(4):542-546
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To observe the accuracy of artificial intelligence-assisted design and 3D printed personalized osteotomy guide plate-assisted total knee arthroplasty (TKA).Methods:A total of 112 patients with knee osteoarthritis scheduled for TKA admitted to the Second People′s Hospital of Guangxi Zhuang Autonomous Region from February 2022 to February 2024 were prospectively included. They were divided into the intelligent group and the traditional group by lottery, with 56 cases in each group. The traditional group used conventional osteotomy guides, while the intelligent group used artificial intelligence-assisted design and 3D printed personalized osteotomy guides. The surgical conditions, postoperative imaging indicators, deviation range of hip-knee-ankle angle (HKA) and clinical efficacy of the two groups were observed.Results:There was no statistically significant difference in incision length between the two groups ( P>0.05). The operation time and blood loss in the intelligent group were both less than those in the traditional group (all P<0.05). The differences in postoperative HKA, sagittal tibial prosthesis angle (LTC), and sagittal femoral prosthesis angle (LFC) in the intelligent group were all smaller than those in the traditional group (all P<0.05), but there were no statistically significant differences in coronal femoral prosthesis angle (FFC) and coronal tibial prosthesis angle (FTC) between the intelligent group and the traditional group ( P>0.05). There was a statistically significant difference in the deviation range grade of HKA between the two groups ( P<0.05), and the proportion of HKA deviation ≤1° in the intelligent group was higher than that in the traditional group ( P<0.05). After the operation, the Visual Analogue Scale (VAS) scores for pain in both groups were lower than those before the operation (all P<0.05), and the range of motion (ROM) of the knee joint and the American Knee Society Score (KSS) were both increased compared with those before the operation (all P<0.05). However, there were no statistically significant differences in the VAS scores, ROM, and KSS of pain after the operation between the two groups (all P>0.05). Conclusions:Artificial intelligence-assisted design and 3D printed personalized osteotomy guide plates can improve the accuracy of TKA surgery, shorten the operation time and reduce the amount of blood loss.
