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3D 打印模型与标准 2D 规划在翻修膝关节置换中使用金属块增强物的比较。

A comparison between 3D printed models and standard 2D planning in the use of metal block augments in revision knee arthroplasty.

机构信息

Unit of Orthopaedic Surgery, Department of Public Health, School of Medicine, Federico II University, Naples, Italy.

出版信息

Jt Dis Relat Surg. 2024 Aug 14;35(3):473-482. doi: 10.52312/jdrs.2024.1591.

DOI:10.52312/jdrs.2024.1591
PMID:39189555
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11411891/
Abstract

OBJECTIVES

The study focused on the ability to predict the need and size of femoral and tibial augmentation using standard two-dimensional (2D) templates and models created with three-dimensional (3D) printing in surgical planning.

PATIENTS AND METHODS

This observational cohort study included 28 consecutive patients (22 females, 6 males; mean age: 71±7.3 years; range, 54 to 82 years) with periprosthetic joint infection recruited between March 2021 and September 2023 undergoing revision total knee arthroplasty revision (TKA). Standard planning was made using calibrated X-ray images. The 3D planning started with computed tomography scans to generate a 3D template of the distal femur and proximal tibia. The model was exported to a 3D printer to produce a patient-specific phantom. The surgery was then simulated on the 3D phantom using revision knee arthroplasty instrumentation to evaluate the appropriate augmentation to use until a correct alignment was obtained.

RESULTS

Three-dimensional planning predicted the need for femoral and tibial augments in 22 (78.6%) cases at both the tibial and femoral components, while 2D planning correctly predicted the need for augmentation in 17 (60.7%) for the tibial side and 18 (64.3%) for the femoral side. The Cohen's kappa demonstrated a significant agreement between the 3D planning for the femoral metal block and the intraoperative requirement (kappa=0.553), whereas 2D planning showed only nonsignificant poor agreement (kappa=0.083). In contrast, the agreement between 2D or 3D preoperative planning for tibial augment and the intraoperative requirement was nonsignificant (kappa=0.130 and kappa=0.158, respectively). On the femoral side, 2D planning showed only a fair nonsignificant correlation (r=0.35, p=0.069), whereas 3D planning exhibited substantial agreement with the actual thickness of the implanted augment (r=0.65, p<0.001). On the tibial side, 3D and 2D planning showed substantial agreement with the actual size of implanted augments (3D planning, r=0.73, p<0.001; 2D planning, r=0.69, p<0.001).

CONCLUSION

Prediction based on 3D computed tomography segmentation showed significant agreement with the intraoperative need for augmentations in revision TKA. The results suggest that planning with 3D printed models represents a stronger aid in this kind of surgery rather than standard 2D planning, providing greater accuracy in the prediction of the required augmentation in revision TKA.

摘要

目的

本研究专注于使用标准二维(2D)模板和三维(3D)打印创建的模型,在手术规划中预测股骨和胫骨增强的需求和大小的能力。

患者和方法

本观察性队列研究纳入了 2021 年 3 月至 2023 年 9 月期间接受翻修全膝关节置换术(TKA)的 28 例连续患者(22 名女性,6 名男性;平均年龄:71±7.3 岁;范围 54 岁至 82 岁)。使用校准 X 射线图像进行标准规划。3D 规划始于计算机断层扫描,以生成远端股骨和近端胫骨的 3D 模板。将模型导出到 3D 打印机以生成患者特定的模型。然后,使用翻修膝关节置换器械在 3D 模型上模拟手术,以评估直到获得正确对线所需的适当增强。

结果

在胫骨和股骨部件上,3D 规划预测 22 例(78.6%)需要股骨和胫骨增强,而 2D 规划正确预测胫骨侧需要增强的有 17 例(60.7%),股骨侧需要增强的有 18 例(64.3%)。Cohen's kappa 显示 3D 规划与术中需要的股骨金属块之间存在显著一致(kappa=0.553),而 2D 规划仅显示无统计学意义的一致性较差(kappa=0.083)。相比之下,2D 或 3D 术前规划胫骨增强与术中需求之间的一致性无统计学意义(kappa=0.130 和 kappa=0.158)。在股骨侧,2D 规划仅显示出适度的无统计学意义的相关性(r=0.35,p=0.069),而 3D 规划与植入增强物的实际厚度显示出显著一致(r=0.65,p<0.001)。在胫骨侧,3D 和 2D 规划与植入增强物的实际尺寸显示出显著一致(3D 规划,r=0.73,p<0.001;2D 规划,r=0.69,p<0.001)。

结论

基于 3D 计算机断层扫描分割的预测与翻修 TKA 术中增强的需求具有显著一致性。结果表明,使用 3D 打印模型进行规划在这种手术中是一种更强有力的辅助手段,而不是标准的 2D 规划,在预测翻修 TKA 中所需的增强方面提供了更高的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/9dc5451384e0/JDRS-2024-35-3-473-482-F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/68e72f7cf844/JDRS-2024-35-3-473-482-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/4a51a48ae74b/JDRS-2024-35-3-473-482-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/5df62a29e524/JDRS-2024-35-3-473-482-F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/9dc5451384e0/JDRS-2024-35-3-473-482-F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/68e72f7cf844/JDRS-2024-35-3-473-482-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/4a51a48ae74b/JDRS-2024-35-3-473-482-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/5df62a29e524/JDRS-2024-35-3-473-482-F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3eb/11411891/9dc5451384e0/JDRS-2024-35-3-473-482-F4.jpg

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