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Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_34 | Pages 1 - 1
1 Dec 2013
Abdulkarim A Elsibaei A Jackson B Riordan D Rice J
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Introduction

Proper femoral reaming is a key factor for a successful outcome in cementless hip arthroplasty. Good quality reaming minimizes risks of intra-operative femoral fracture during reaming and prevents poor fitting of the implant which can lead to subsidance of the stem postoperativly. Determining the quality of reaming is largely a subjective skill and dependant on the surgeon's experience with no documented intraoprative method to assess it objectively.

Method

We recorded and analysed the frequencies of sound signals recorded via a bone conduction microphone during reaming of the femoral canal in a series of 28 consecutive patients undergoing uncemented total hip replacement performed by same surgeon. Hammaring sound frequencies and intensity were analysed by mean of computer software. The relationship between the patterns of the recorded reaming sound frequencies compared with surgeon judgment of the reaming quality intraoparativly and post operative x rays. All patients were followed up clinically and radiologically for 2 years after surgery to determine the integrity of the fix and to evaluate the stability of the prosthesis.


Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_34 | Pages 215 - 215
1 Dec 2013
Abdulkarim A Elsibaei A Jackson B Riordan D
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Introduction

Many surgeons are familiar with the audible change in the sound pitch while hammering a rasp in a long bone during surgeries like Hip Arthroplasty. We have developed a hypothesis indicating that there is a relationship between that sound change and the development of micro-fracture and subsequently full fracture.

Methods

An experiment using porcine femur bone performed by attaching a bone conduction microphone to the distal part of the bone while hammering a rasps of different sizes through the medullary canal till the point where a fracture developed. The transduce sound resonances created in the bone during rasping are converted to an analogue electrical signals that were sent to a Zoom H4n handheld recording device which recorded the signal to a disk.

The recorded signals subsequently were analysed using Matlab software and a spectrum analyzer using Fast Fourier Transforms (FFT).