Abstract
Abstract Correct torqueing of bone screws is important for orthopaedic surgery. Surgeons mainly tighten screws ad hoc, risking inappropriate torqueing. An adaptive torque-limiting screwdriver may be able to measure the torque-rotation response and use parameter identification of key material properties to recommend optimal torques. This paper analyses the identifiability and sensitivity of a model of the bone screwing process. The accuracy with which values of the Young modulus (E) of the bone were identified depended on the value of E, with larger values being less accurately identified. The error in identified σ u t s {\sigma _{uts}} (Tensile strength) values was less than 0.5 % over all the cases tested, with no discernible dependence on the co-identified values of E. Experimental validation is still required for the model and identification process, but this approach is feasible and promising from a theoretical perspective.
Highlights
A major part of orthopaedic surgery is the fixation of implants using bone screws
Correct torqueing of bone screws is important for orthopaedic surgery
It has been proposed that by monitoring the screwing process, the bone material properties can be identified using a model, and used to predict the optimal tightening torque [5]; as these bone material properties are dependent on factors like age and disease, this method takes these into account
Summary
A major part of orthopaedic surgery is the fixation of implants using bone screws. Correct torqueing of the screws is critical to prevent implant failure due to thread stripping [1] or screw loosening [2]. It has been proposed that by monitoring the screwing process, the bone material properties can be identified using a model, and used to predict the optimal tightening torque [5]; as these bone material properties are dependent on factors like age and disease, this method takes these into account. This first requires an identifiable [6] model of the screwing process in terms of the most important material properties, and a method for predicting optimal torque from these properties. Correct torque is still important to prevent tissue damage or screw loosening
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