Estimating patient-specific soft-tissue properties in a TKA knee.

Estimating patient-specific soft-tissue properties in a TKA knee.
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DOI:
10.1002/jor.23032
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发表时间:
2016-03
期刊:
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
影响因子:
--
通讯作者:
Siston RA
Siston RA
中科院分区:
其他
文献类型:
--
作者:
Ewing JA;Kaufman MK;Hutter EE;Granger JF;Beal MD;Piazza SJ;Siston RA

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手术技术是全膝关节置换术成功的关键因素之一。研究人员已经证明,计算机模拟可以帮助确定手术室中的决定通常如何影响术后结果。然而,为了使用模拟来对特定全膝关节患者的膝关节力和运动进行临床相关预测,需要患者特定的模型。本研究介绍了一种方法,用于估计膝关节软组织特性的个人全膝关节患者。使用定制手术导航系统和稳定装置测量膝关节的力-位移关系。软组织属性估计使用参数优化,模拟胫股运动学与实验胫股运动学相匹配。使用优化韧带特性的模拟在所有测试中的平均均方根误差为3.5°,而使用取自文献的通用韧带特性的模拟的平均均方根误差为8.4°。标本显示韧带性能之间的变异性很大,无论假体组件对齐和测量膝关节松弛的相似性。这些结果证明了软组织特性在确定膝关节稳定性方面的重要性,并表明,为了使用计算机模拟对术后膝关节运动和力进行临床相关预测,需要患者特定的软组织特性。
Surgical technique is one factor that has been identified as critical to success of total knee arthroplasty. Researchers have shown that computer simulations can aid in determining how decisions in the operating room generally affect post-operative outcomes. However, to use simulations to make clinically relevant predictions about knee forces and motions for a specific total knee patient, patient-specific models are needed. This study introduces a methodology for estimating knee soft-tissue properties of an individual total knee patient. A custom surgical navigation system and stability device were used to measure the force-displacement relationship of the knee. Soft-tissue properties were estimated using a parameter optimization that matched simulated tibiofemoral kinematics with experimental tibiofemoral kinematics. Simulations using optimized ligament properties had an average root mean square error of 3.5° across all tests while simulations using generic ligament properties taken from literature had an average root mean square error of 8.4°. Specimens showed large variability among ligament properties regardless of similarities in prosthetic component alignment and measured knee laxity. These results demonstrate the importance of soft-tissue properties in determining knee stability, and suggest that to make clinically relevant predictions of post-operative knee motions and forces using computer simulations, patient-specific soft-tissue properties are needed.
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