Automated fit quantification of tibial nail designs during the insertion using computer three-dimensional modelling
Amarathunga, Jayani P., Schuetz, Michael A., Yarlagadda, Prasad K.D.V., & Schmutz, Beat (2014) Automated fit quantification of tibial nail designs during the insertion using computer three-dimensional modelling. Proceedings of the Institution of Mechanical Engineers, Part H : Journal of Engineering in Medicine, 228(12), pp. 1227-1234.
Intramedullary nailing is the standard fixation method for displaced diaphyseal fractures of the tibia. An optimal nail design should both facilitate insertion and anatomically fit the bone geometry at its final position in order to reduce the risk of stress fractures and malalignments. Due to the nonexistence of suitable commercial software, we developed a software tool for the automated fit assessment of nail designs. Furthermore, we demonstrated that an optimised nail, which fits better at the final position, is also easier to insert. Three-dimensional models of two nail designs and 20 tibiae were used. The fitting was quantified in terms of surface area, maximum distance, sum of surface areas and sum of maximum distances by which the nail was protruding into the cortex. The software was programmed to insert the nail into the bone model and to quantify the fit at defined increment levels. On average, the misfit during the insertion in terms of the four fitting parameters was smaller for the Expert Tibial Nail Proximal bend (476.3 mm2, 1.5 mm, 2029.8 mm2, 6.5 mm) than the Expert Tibial Nail (736.7 mm2, 2.2 mm, 2491.4 mm2, 8.0 mm). The differences were statistically significant (p ≤ 0.05). The software could be used by nail implant manufacturers for the purpose of implant design validation.
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|Item Type:||Journal Article|
|Keywords:||Three-dimensional modelling, automation, tibia, intramedullary nail, nail fit, fracture fixation|
|Divisions:||Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2014 IMechE|
|Deposited On:||22 Jan 2015 01:55|
|Last Modified:||27 Jan 2015 22:49|
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