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数字模板在全膝关节置换术术前规划中的准确性:系统评价和荟萃分析。

The accuracy of digital templating in the preoperative planning of total knee arthroplasties: A systematic review and meta-analysis.

机构信息

University College London, UK.

Royal Free London NHS Foundation Trust, UK.

出版信息

Knee. 2024 Mar;47:139-150. doi: 10.1016/j.knee.2024.01.006. Epub 2024 Feb 22.

Abstract

AIMS

Accurately predicting the implant size in total knee arthroplasties could increase the efficiency of the operation, decrease the costs associated with the procedure and result in improved patient outcomes. To substantiate its continued use, digital templating must demonstrate itself to be an accurate tool in predicting component size in order for surgeons to confidently use it to optimize the procedure.

METHODS

A systematic literature review was performed and identified 16 studies within the Pubmed, Ebsco and Ovid-Embase databases, with 1189 TKR prostheses included for analysis. A quality of evidence assessment was performed on each study depending on the study design. A random effects meta-analysis model was used to pool overall implant accuracy and the reported inter-rater agreement when performing digital templating and displayed in a forest plot. Meta-regression was used analyze potential factors that may affect the accuracy of digital templating.

RESULTS

The pooled proportion of accurate templates with 0 margin of error was found to be 56% (52-61, 95CI), which increases to 96% (0.94-0.98, 95CI) when allowing for a 1 size margin of error. Subgroup analysis between femoral and tibial components concluded no statistically significant difference.

CONCLUSIONS

This study supports the continued use of digital templating for planning total knee arthroplasties and recommends further subgroup analysis of patient age, body mass index and sex against accuracy. This review was registered in the International Prospective Register of Systematic Reviews Database under ID: CRD420222367461. No funding was provided for the completion of this systematic review.

BACKGROUND

Templating in the preoperative planning of total knee arthroplasties is a vital step in ensuring maximum operative efficiency. A method that can accurately predict the required implant size within 1 size could improve theatre turnover, decrease costs and benefit patient outcomes. The current literature on the accuracy of digital templating in total knee arthroplasties lacks a systematic review calculating the overall accuracy of the process, this study aims to address this gap.

摘要

目的

在全膝关节置换术中准确预测植入物的大小可以提高手术效率,降低手术相关成本,并改善患者的预后。为了证明其持续使用的合理性,数字化模板必须证明自己是一种准确的工具,能够预测组件的大小,以便外科医生有信心使用它来优化手术。

方法

进行了系统的文献回顾,在 Pubmed、Ebsco 和 Ovid-Embase 数据库中确定了 16 项研究,共纳入 1189 例 TKR 假体进行分析。根据研究设计对每项研究进行了证据质量评估。使用随机效应荟萃分析模型对总体植入物准确性和进行数字化模板时报告的组内一致性进行汇总,并以森林图显示。使用元回归分析可能影响数字化模板准确性的潜在因素。

结果

发现 0 误差边缘的准确模板的合并比例为 56%(52-61,95%CI),当允许 1 个尺寸误差边缘时,增加到 96%(0.94-0.98,95%CI)。股骨和胫骨组件之间的亚组分析得出无统计学意义的差异。

结论

本研究支持继续使用数字化模板规划全膝关节置换术,并建议进一步对患者年龄、体重指数和性别与准确性进行亚组分析。本综述在国际前瞻性系统评价登记库(International Prospective Register of Systematic Reviews Database)中注册,编号为 CRD420222367461。本系统评价的完成没有得到任何资金支持。

背景

在全膝关节置换术的术前规划中,模板是确保最大手术效率的重要步骤。一种能够在 1 个尺寸内准确预测所需植入物大小的方法可以提高手术室周转率,降低成本并有益于患者的预后。目前关于数字化模板在全膝关节置换术中准确性的文献缺乏对该过程总体准确性的系统评价,本研究旨在解决这一空白。

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