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全髋关节置换术中功能组件的定位及机器人辅助在解决脊柱骨盆病理中的作用。

Functional Component Positioning in Total Hip Arthroplasty and the Role of Robotic-Arm Assistance in Addressing Spinopelvic Pathology.

机构信息

Department of Trauma and Orthopaedic Surgery, University College Hospital, 235 Euston Road, London NW1 2BU, UK; Division of Surgery and Interventional Science, University College London, Gower Street, London WC1E 6BT, UK.

Hôpitaux Robert Schuman, 9 Rue Edward Steichen, Luxembourg-City 2540, Luxembourg.

出版信息

Orthop Clin North Am. 2023 Apr;54(2):121-140. doi: 10.1016/j.ocl.2022.11.003. Epub 2023 Jan 31.

DOI:10.1016/j.ocl.2022.11.003
PMID:36894286
Abstract

Hip, spine, and pelvis function as a unified kinetic chain. Any spinal pathology, results in compensatory changes in the other components to accommodate for the reduced spinopelvic motion. The complex relationship between spinopelvic mobility and component positioning in total hip arthroplasty presents a challenge in achieving functional implant positioning. Patients with spinal pathology, especially those with stiff spines and little change in sacral slope, are at high instability risk. In this challenging subgroup, robotic-arm assistance enables the execution of a patient specific plan, avoiding impingement and maximizing range of motion; especially utilizing virtual range of motion to dynamically assess impingement.

摘要

髋关节、脊柱和骨盆作为一个统一的运动链发挥作用。任何脊柱病理都会导致其他组成部分发生代偿性变化,以适应减少的脊柱骨盆运动。全髋关节置换术中脊柱骨盆活动度与组件定位之间的复杂关系,给实现功能植入物的定位带来了挑战。患有脊柱疾病的患者,特别是脊柱僵硬且骶骨倾斜度变化不大的患者,存在较高的不稳定性风险。在这个具有挑战性的亚组中,机器人辅助可以执行患者特定的计划,避免撞击并最大限度地扩大运动范围;特别是利用虚拟运动范围来动态评估撞击。

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引用本文的文献

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Medicine (Baltimore). 2024 Sep 13;103(37):e39528. doi: 10.1097/MD.0000000000039528.
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Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty?开发一种结合脊柱骨盆活动度的监督学习算法来预测全髋关节置换患者的撞击情况是否可行?
Bone Jt Open. 2024 Aug 14;5(8):671-680. doi: 10.1302/2633-1462.58.BJO-2024-0020.R1.
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