Dai Yifei, Bolch Charlotte, Jung Amaury, Hamad Cyril, Angibaud Laurent, Stulberg Bernard N, Huddleston James I
Exactech Inc, 2320 NW 66(th) Ct, Gainesville, FL 32653, USA.
Blue Ortho, 5 Avenue du Grand Sablon, Gieres 38610, France.
Knee. 2020 Jun;27(3):1010-1017. doi: 10.1016/j.knee.2020.02.024. Epub 2020 Mar 26.
Studies on total knee arthroplasty (TKA) with computer-assisted orthopedic surgery (CAOS) are limited by sample size or overlooked longitudinal performance of the system. This study aimed to assess resection accuracy across the entire TKA application history of a modern CAOS system considering multiple factors.
A retrospective analysis was performed based on a database that archives technical logs of all TKAs performed using a CAOS system. Coronal resection errors and percentage of outliers (<2° alignment error) in the proximal tibia and distal femur were assessed. Multilevel modeling was used to understand whether and where the resection error variability was located in the grouping categories, which included geographic region, individual established surgeon, preoperative alignment, adoption phase (learning/proficient), and version of the CAOS software application.
A total of 10,144 cases were reviewed. The accuracy (mean) and precision (standard deviation) of the coronal alignment for both the tibia and femur were at the sub-degree level. High percentages of acceptable resections were observed across the pooled and each grouping category. The accountability for the amounts of total variability in tibial and femoral resection errors was negligible for all grouping categories, demonstrated by ICC values less than the common variations in observational studies.
The study applied advanced analyses to assess alignment outcome in TKA bony resection alignment across the history of a specific CAOS system. The results demonstrated high resection alignment accuracy insensitive to geographic region, CAOS software application, adoption phase, preoperative alignment, and inter-surgeon differences.
计算机辅助骨科手术(CAOS)用于全膝关节置换术(TKA)的研究受到样本量的限制,或者忽视了该系统的纵向性能。本研究旨在考虑多种因素,评估一个现代CAOS系统在整个TKA应用历史中的截骨准确性。
基于一个存档了使用CAOS系统进行的所有TKA技术日志的数据库进行回顾性分析。评估胫骨近端和股骨远端的冠状面截骨误差和异常值百分比(对线误差<2°)。采用多水平模型来了解截骨误差变异性在分组类别中的位置,分组类别包括地理区域、个体固定手术医生、术前对线、采用阶段(学习/熟练)以及CAOS软件应用版本。
共回顾了10144例病例。胫骨和股骨冠状面对线的准确性(均值)和精确性(标准差)均处于亚度数水平。在汇总及每个分组类别中均观察到高比例的可接受截骨。所有分组类别对胫骨和股骨截骨误差总变异性量的贡献率可忽略不计,组内相关系数(ICC)值小于观察性研究中的常见变异即表明了这一点。
本研究应用先进分析方法评估了特定CAOS系统历史中TKA骨截骨对线的对线结果。结果表明,截骨对线准确性高,不受地理区域、CAOS软件应用、采用阶段、术前对线和手术医生差异的影响。