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基于人工智能动态图像识别的全膝关节置换术后早期步态分析

[Early gait analysis after total knee arthroplasty based on artificial intelligence dynamic image recognition].

作者信息

Zhang Ming, Sui Ya-Nan, Wang Cheng, Zhang Hao-Chong, Cai Zhi-Wei, Zhang Quan-Lei, Zhang Yu, Xia Tian-Tian, Zu Xiao-Ran, Huang Yi-Jian, Huang Cong-Shu, Li Xiang

机构信息

Department of Orthopaedics, the Fourth Medical Center of Chinese PLA General Hospital, Beijing 100048, China; Chinese PLA Medical College, Beijing 100853, China.

Tsinghua University, Beijing 100084, China.

出版信息

Zhongguo Gu Shang. 2024 Sep 25;37(9):855-61. doi: 10.12200/j.issn.1003-0034.20240321.

DOI:10.12200/j.issn.1003-0034.20240321
PMID:39342468
Abstract

OBJECTIVE

To explore early postoperative gait characteristics and clinical outcomes after total knee arthroplasty (TKA).

METHODS

From February 2023 to July 2023, 26 patients with unilateral knee osteoarthritis (KOA) were treated with TKA, including 4 males and 22 females, aged from 57 to 85 years old with an average of (67.58±6.49) years old;body mass index (BMI) ranged from 18.83 to 38.28 kg·m with an average of (26.43±4.15) kg·m;14 patients on the left side, 12 patients on the right side;according to Kellgren-Lawrence(K-L) classification, 6 patients with grade Ⅲ and 20 patients with grade IV;the courses of disease ranged from 1 to 14 years with an average of (5.54±3.29) years. Images and videos of standing up and walking, walking side shot, squatting and supine kneeling were taken with smart phones before operation and 6 weeks after operation. The human posture estimation framework OpenPose were used to analyze stride frequency, step length, step length, step speed, active knee knee bending angle, stride length, double support phase time, as well as maximum hip flexion angle and maximum knee bending angle on squatting position. Western Ontario and McMaster Universities (WOMAC) arthritis index and Knee Society Score (KSS) were used to evaluate clinical efficacy of knee joint.

RESULTS

All patients were followed up for 5 to 7 weeks with an average of (6.00±0.57) weeks. The total score of WOMAC decreased from (64.85±11.54) before operation to (45.81±7.91) at 6 weeks after operation (<0.001). The total KSS was increased from (101.19±9.58) before operation to (125.50±10.32) at 6 weeks after operation (<0.001). The gait speed, stride frequency and stride length of the affected side before operation were (0.32±0.10) m·s, (96.35±24.18) steps·min, (0.72±0.14) m, respectively;and increased to (0.48±0.11) m·s, (104.20±22.53) steps·min, (0.79±0.10) m at 6 weeks after operation (<0.05). The lower limb support time and active knee bending angle decreased from (0.31±0.38) s and (125.21±11.64) ° before operation to (0.11±0.04) s and (120.01±13.35) ° at 6 weeks after operation (<0.05). Eleven patients could able to complete squat before operation, 13 patients could able to complete at 6 weeks after operation, and 9 patients could able to complete both before operation and 6 weeks after operation. In 9 patients, the maximum bending angle of crouching position was increased from 76.29° to 124.11° before operation to 91.35° to 134.12° at 6 weeks after operation, and the maximum bending angle of hip was increased from 103.70° to 147.25° before operation to 118.61° to 149.48° at 6 weeks after operation.

CONCLUSION

Gait analysis technology based on artificial intelligence image recognition is a safe and effective method to quantitatively identify the changes of patients' gait. Knee pain of KOA was relieved and the function was improved, the supporting ability of the affected limb was improved after TKA, and the patient's stride frequency, stride length and stride speed were improved, and the overall movement rhythm of both lower limbs are more coordinated.

摘要

目的

探讨全膝关节置换术(TKA)术后早期步态特征及临床疗效。

方法

选取2023年2月至2023年7月因单侧膝关节骨关节炎(KOA)行TKA治疗的患者26例,其中男性4例,女性22例,年龄57~85岁,平均(67.58±6.49)岁;体重指数(BMI)为18.83~38.28 kg·m²,平均(26.43±4.15)kg·m²;左侧14例,右侧12例;按Kellgren-Lawrence(K-L)分级,Ⅲ级6例,Ⅳ级20例;病程1~14年,平均(5.54±3.29)年。术前及术后6周用智能手机拍摄站立、行走、侧行、下蹲及仰卧屈膝的图像和视频。采用人体姿态估计框架OpenPose分析步频、步长、步幅、步速、主动膝关节屈曲角度、步幅、双支撑相时间,以及下蹲位最大髋关节屈曲角度和最大膝关节屈曲角度。采用西安大略和麦克马斯特大学(WOMAC)关节炎指数及膝关节协会评分(KSS)评估膝关节临床疗效。

结果

所有患者均随访5~7周,平均(6.00±0.57)周。WOMAC总分由术前(64.85±11.54)降至术后6周(45.81±7.91)(<0.001)。KSS总分由术前(101.19±9.58)升至术后6周(125.50±10.32)(<0.001)。术前患侧步态速度、步频和步长分别为(0.32±0.10)m·s、(96.35±24.18)步/分钟、(0.72±0.14)m;术后6周分别增至(0.48±0.11)m·s、(104.20±22.53)步/分钟、(0.79±0.10)m(<0.05)。下肢支撑时间和主动膝关节屈曲角度由术前(0.31±0.38)s和(125.21±11.64)°降至术后6周(0.11±0.04)s和(120.01±13.35)°(<0.05)。术前11例患者能完成下蹲,术后6周13例患者能完成下蹲,9例患者术前及术后6周均能完成下蹲。9例患者下蹲位最大屈曲角度由术前76.29°至124.11°增至术后6周91.35°至134.12°,最大髋关节屈曲角度由术前103.70°至147.25°增至术后6周118.61°至149.48°。

结论

基于人工智能图像识别的步态分析技术是定量识别患者步态变化的一种安全有效的方法。TKA术后KOA患者膝关节疼痛缓解、功能改善,患侧肢体支撑能力提高,患者步频、步长和步速改善,双下肢整体运动节奏更协调。

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