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利用声学振动评估全髋关节置换术的植入物置入情况。

Using Acoustic Vibrations as a Method for Implant Insertion Assessment in Total Hip Arthroplasty.

机构信息

Department of BioMechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.

Department of Orthopaedics, Elkerliek Hospital, 5707 HA Helmond, The Netherlands.

出版信息

Sensors (Basel). 2022 Feb 18;22(4):1609. doi: 10.3390/s22041609.

Abstract

The success of total hip arthroplasty depends on the experience of the surgeon, and one of the ways the surgeon currently determines the final implant insertion depth is to listen to the change in audible pitch of the hammering sound. We investigated the use of vibration emissions as a novel method for insertion quality assessment. A non-invasive contact microphone-based measurement system for insertion depth estimation, fixation and fracture detection was developed using a simplified in vitro bone/implant (n = 5). A total of 2583 audio recordings were analyzed in vitro to obtain energy spectral density functions. Out of the four main resonant peaks under in vitro conditions, broach insertion depth statistically correlates to increasing 3rd and 4th peak frequencies. Degree of fixation was also observed as higher goodness of fit (0.26-0.78 vs. 0.12-0.51 between two broach sizes, the latter undersized). Finally, however, the moment of fracture could not be predicted. A cadaveric in situ pilot study suggests comparable resonant frequencies in the same order of magnitudes with the bone model. Further understanding of the signal patterns are needed for an early warning system diagnostic system for imminent fractures, bone damage, improving accuracy and quality of future procedures.

摘要

全髋关节置换术的成功取决于外科医生的经验,目前外科医生确定最终植入物插入深度的方法之一是听锤击声的音调变化。我们研究了振动发射作为一种新的插入质量评估方法。使用简化的体外骨/植入物(n = 5)开发了一种用于插入深度估计、固定和骨折检测的基于非侵入性接触麦克风的测量系统。总共对 2583 个音频记录进行了体外分析以获得能量谱密度函数。在体外条件下的四个主要共振峰中,绞刀插入深度与第三和第四峰值频率的增加呈统计学相关。固定程度也表现出较高的拟合优度(0.26-0.78 与两种绞刀尺寸之间的 0.12-0.51,后者尺寸过小)。然而,最终无法预测骨折时刻。一项尸体原位试点研究表明,与骨模型相同数量级的共振频率相似。需要进一步了解信号模式,以便为即将发生的骨折、骨损伤、提高未来手术的准确性和质量建立早期预警系统诊断系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f70/8877904/45e3cfa25010/sensors-22-01609-g001.jpg

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