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A method for optimal fit of patient-specific fracture fixation plates


Citation

Harith, Hazreen and Malekani, Javad and Schmutz, Beat and Schuetz, Michael and Yarlagadda, Prasad KDV (2016) A method for optimal fit of patient-specific fracture fixation plates. Journal of Materials-Design and Applications, 230 (1). pp. 283-290. ISSN 2041-3076

Abstract

Anatomically pre-contoured fracture fixation plates are a treatment option for bone fractures. A well-fitting plate can be used as a tool for anatomical reduction of the fractured bone. However, recent studies showed that some plates fit poorly for many patients due to considerable shape variations between bones of the same anatomical site. Therefore, the plates have to be manually fitted and deformed by surgeons to fit each patient optimally. The process is time-intensive and labor-intensive, and could lead to adverse clinical implications such as wound infection or plate failure. This paper proposes a new iterative method to simulate the patient-specific deformation of an optimally fitting plate for pre-operative planning purposes. We further demonstrate the validation of the method through a case study. The proposed method involves the integration of four commercially available software tools, Matlab, Rapidform2006, SolidWorks, and ANSYS, each performing specific tasks to obtain a plate shape that fits optimally for an individual tibia and is mechanically safe. A typical challenge when crossing multiple platforms is to ensure correct data transfer. We present an example of the implementation of the proposed method to demonstrate successful data transfer between the four platforms and the feasibility of the method.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1177/1464420715569586
Publisher: SAGE Publications
Keywords: Patient-specific implant; Anatomical fit; Fit assessment; Fracture fixation; Orthopedic plate
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 28 May 2018 07:28
Last Modified: 28 May 2018 07:28
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1177/1464420715569586
URI: http://psasir.upm.edu.my/id/eprint/54857
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