Same same but different—Image-based versus imageless robotic-assisted total knee arthroplasty!

IF 2 Q2 ORTHOPEDICS Journal of Experimental Orthopaedics Pub Date : 2024-10-19 DOI:10.1002/jeo2.70062
Michael T. Hirschmann, George Avram, Heiko Graichen, Reha N. Tandogan, Natalie Mengis, Stefano Zaffagnini
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Abstract

Robotic-assisted total knee arthroplasty (RTKA) has gained widespread acceptance due to its demonstrated ability to improve surgical accuracy compared to conventional total knee arthroplasty (CTKA). While the precise impact of RTKA on postoperative patient-reported outcome measures (PROMs) remains inconclusive, the increased accuracy in alignment and joint kinematics suggests potential improvements in patient satisfaction and functional outcomes. Two primary RTKA systems exist: image-based, which uses preoperative CT scans for detailed 3D modeling, and image-less, which relies on intra-operative digitization of anatomical landmarks. Both systems aim to achieve accurate implant placement and soft-tissue balancing, yet they differ in methodology and reliance on preoperative data.

Despite RTKA's theoretical advantages, there is ongoing debate about whether accuracy alone is sufficient to achieve optimal postoperative outcomes, particularly concerning joint kinematics and alignment strategies. Literature reveals no significant difference in coronal plane alignment between image-based and image-less systems, though image-less systems may be more prone to varus errors due to the reliance on intra-articular landmarks. Additionally, image-free systems may face challenges in replicating native knee anatomy, especially in the sagittal plane, leading to potential limitations in achieving ideal tibial slope reconstruction.

The future of RTKA may lie in refining implant positioning strategies that minimize postoperative alterations to pre-arthritic knee kinematics, particularly with standardized off-the-shelf implants. As robotic technology evolves, there is potential to enhance surgical outcomes by combining accuracy with personalized alignment approaches that better address individual patient anatomy. Further research is needed to assess the long-term clinical benefits of RTKA and its capacity to improve patient-specific functional outcomes.

Level of evidence

level 5

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同中有异--基于图像的机器人辅助全膝关节置换术与无图像机器人辅助全膝关节置换术!
与传统的全膝关节置换术(CTKA)相比,机器人辅助全膝关节置换术(RTKA)能够提高手术的准确性,因此得到了广泛的认可。虽然 RTKA 对术后患者报告结果(PROMs)的确切影响尚无定论,但对位和关节运动学准确性的提高表明,患者满意度和功能结果可能会得到改善。目前主要有两种 RTKA 系统:一种是基于图像的系统,它使用术前 CT 扫描进行详细的三维建模;另一种是无图像系统,它依赖于术中解剖标记的数字化。这两种系统都旨在实现精确的种植体植入和软组织平衡,但它们在方法和对术前数据的依赖上有所不同。 尽管RTKA具有理论上的优势,但关于仅凭精确度是否足以达到最佳术后效果,尤其是关节运动学和对位策略方面,一直存在争议。文献显示,基于图像的系统和无图像系统在冠状面对位方面没有明显差异,但无图像系统由于依赖关节内地标,可能更容易出现曲度误差。此外,无图像系统在复制本地膝关节解剖结构时可能会面临挑战,尤其是在矢状面上,从而导致在实现理想的胫骨斜坡重建方面存在潜在的局限性。 RTKA 的未来可能在于改进植入物定位策略,最大限度地减少术后对关节炎前膝关节运动学的改变,尤其是使用标准化的现成植入物。随着机器人技术的发展,通过将精确性与个性化对位方法相结合,更好地针对患者的个体解剖结构,有可能提高手术效果。还需要进一步的研究来评估 RTKA 的长期临床益处及其改善患者特定功能结果的能力。 证据等级 5
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来源期刊
Journal of Experimental Orthopaedics
Journal of Experimental Orthopaedics Medicine-Orthopedics and Sports Medicine
CiteScore
3.20
自引率
5.60%
发文量
114
审稿时长
13 weeks
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