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A smart surgical tool for optimal dental implant fixation

Blaikie, Polly, Nishio Ayre, Wayne, Thomas, David, Begum, Taslima, Eaton, Mark, Harwood, Carly and Crivelli, Davide 2018. A smart surgical tool for optimal dental implant fixation. Presented at: 96th General Session of the IADR, London, UK, 25-28 Jul 2018.

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Abstract

Objectives: This project aims to develop a smart surgical tool for placing dental implants to reduce failure rates. The device detects the optimal tightening of dental implants based on bone integrity rather than torque alone. This technique is based on non-destructive Acoustic Emission (AE) monitoring, which utilizes sensors to record ultrasonic shock waves released by materials as they develop cracks. This can address human error and ensure optimal conditions for both bone repair and implant stability, while being insensitive to variability in bone quality. Methods: AE sensors are attached onto the surgical tool and dental implants from Osteocare are placed into Sawbone blocks of 3 porosities using 3 torque values: a clinically recommended torque value (0.3Nm), an undertightened (<0.2Nm) and an overtightened torque (>0.7Nm). Each combination is repeated 3 times (n=27). MicroCT scans are taken to quantify bone-implant contact and to assess cracking and crushing due to the screw insertion process. Pullout tests are performed on each implant to measure the fixation strength. Results: Analysis of AE data will highlight the relationship between the AE and the fixation torque, correlated with different levels of damage in the Sawbone. Increased damage as indicated by AE levels (rather than torque) is expected to reflect in a lower pull-out strength and to be dependant on Sawbone porosity. Micro-CT scans will assess the damage caused by under-tightened, nominal and over-tightened screws. Correlation analysis between AE, torque, bone-implant contact and fixation strength are ongoing. Conclusions: Initial evidence suggests a “stop twisting” criterion can be created using AE energy for achieving maximum pull-out strength. This can be established for different bone porosities to create a smart surgical tool to guide surgeons regarding optimum implant placement. Future work will focus on the biological response of bone to these AE signals and potential methods of ergonomically optimising the device. Student Presenter

Item Type: Conference or Workshop Item (Other)
Date Type: Completion
Status: Unpublished
Schools: Dentistry
Engineering
Related URLs:
Last Modified: 19 Oct 2019 03:21
URI: http://orca.cf.ac.uk/id/eprint/117630

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