Picard F, Deakin A H, Clarke I V, Dillon J M, Kinninmonth A W
Orthopaedic Department, Golden Jubilee National Hospital, Beardmore Street, Clydebank, Glasgow, UK.
Proc Inst Mech Eng H. 2007 Oct;221(7):763-72. doi: 10.1243/09544119JEIM272.
Total knee replacement (TKR) has become the standard procedure in management of degenerative joint disease with its success depending mainly on two factors: three-dimensional alignment and soft-tissue balancing. The aim of this work was to develop and validate an algorithm to indicate appropriate medial soft tissue release during TKR for varus knees using initial kinematics quantified via navigation techniques. Kinematic data were collected intraoperatively for 46 patients with primary end-stage osteoarthritis undergoing TKR surgery using a computer-tomography-free navigation system. All patients had preoperative varus knees and medial release was made using the surgeon's experience. Based on these data an algorithm was developed. This algorithm was validated on a further set of 35 patients where it was used to define the medial release based on the kinematic data. The post-operative valgus stress angles for the two groups were compared. These results showed that the algorithm was a suitable tool to indicate the type of medial release required in varus knees based on intra-operatively measured pre-implant valgus stress and extension deficit angles. It reduced the percentage of releases made and the results were more appropriate than the decisions made by an experienced surgeon.
全膝关节置换术(TKR)已成为治疗退行性关节疾病的标准手术,其成功主要取决于两个因素:三维对线和软组织平衡。这项工作的目的是开发并验证一种算法,该算法利用通过导航技术量化的初始运动学数据,来指示在膝内翻患者进行全膝关节置换术时适当的内侧软组织松解。使用无计算机断层扫描导航系统,术中收集了46例接受全膝关节置换手术的原发性终末期骨关节炎患者的运动学数据。所有患者术前均为膝内翻,内侧松解均根据外科医生的经验进行。基于这些数据开发了一种算法。该算法在另外35例患者中进行了验证,在这些患者中,该算法用于根据运动学数据定义内侧松解。比较了两组术后的外翻应力角。这些结果表明,该算法是一种合适的工具,可根据术中测量的植入前外翻应力和伸展不足角度,指示膝内翻患者所需的内侧松解类型。它减少了松解的比例,结果比经验丰富的外科医生做出的决策更合适。