Thienpont Emmanuel, Fennema Peter, Price Andrew
University Hospital Saint Luc, Brussels, Belgium.
Knee. 2013 Sep;20 Suppl 1:S21-8. doi: 10.1016/S0968-0160(13)70005-X.
Component malalignment remains a concern in total knee arthroplasty (TKA); therefore, a series of technologies have been developed to improve alignment. The authors conducted a systematic review to compare computer-assisted navigation with conventional instrumentation, and assess the current evidence for patient-matched instrumentation and robot-assisted implantation. An extensive search of the PubMed database for relevant meta-analyses, systematic reviews and original articles was performed, with each study scrutinised by two reviewers. Data on study characteristics and outcomes were extracted from each study and compared. In total 30 studies were included: 10 meta-analyses comparing computer-assisted navigation and conventional instrumentation, 13 studies examining patient-matched instrumentation, and seven investigating robot-assisted implantation. Computer-assisted navigation showed significant and reproducible improvements in mechanical alignment over conventional instrumentation. Patient-matched instrumentation appeared to achieve a high degree of mechanical alignment, although the majority of studies were of poor quality. The data for robot-assisted surgery was less indicative. Computer-assisted navigation improves alignment during TKA over conventional instrumentation. For patient-matched instrumentation and robot-assisted implantation, alignment benefits have not been reliably demonstrated. For all three technologies, clinical benefits cannot currently be assumed, and further studies are required. Although current technologies to improve alignment during TKA appear to result in intra-operative benefits, their clinical impact remains unclear, and surgeons should take this into account when considering their adoption.
组件排列不齐仍是全膝关节置换术(TKA)中令人担忧的问题;因此,已开发出一系列技术来改善排列。作者进行了一项系统评价,以比较计算机辅助导航与传统器械,并评估患者匹配器械和机器人辅助植入的现有证据。对PubMed数据库进行了广泛搜索,以查找相关的荟萃分析、系统评价和原始文章,每项研究由两名审阅者进行审查。从每项研究中提取并比较了研究特征和结果的数据。总共纳入了30项研究:10项比较计算机辅助导航和传统器械的荟萃分析,13项研究患者匹配器械,7项研究机器人辅助植入。与传统器械相比,计算机辅助导航在机械排列方面显示出显著且可重复的改善。尽管大多数研究质量较差,但患者匹配器械似乎能实现高度的机械排列。机器人辅助手术的数据指示性较差。与传统器械相比,计算机辅助导航可改善TKA期间的排列。对于患者匹配器械和机器人辅助植入,排列优势尚未得到可靠证实。对于所有这三种技术,目前尚不能假定其具有临床益处,需要进一步研究。尽管目前用于改善TKA期间排列的技术似乎会带来术中益处,但其临床影响仍不明确,外科医生在考虑采用这些技术时应予以考虑。