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Studies on quantitative fit analysis of precontoured fracture fixation plates emerged within the last few years and therefore, there is a wide research gap in this area. Quantitative fit assessment facilitates the measure of the gap between a fracture fixation plate and the underlying bone, and specifies the required plate fit criteria. For clinicallymeaningful fit assessment outcome, it is necessary to establish the appropriate criteria and parameter. The present paper studies this subject and recommends using multiple fit criteria and the maximum distance between the plate and underlying bone as fit parameter for clinically relevant outcome. We also propose the development of a software tool for automatic plate positioning and fit assessment for the purpose of implant design validation and optimization in an effort to provide better fitting implant that can assist proper fracture healing. The fundamental specifications of the software are discussed. Virtual methods for fit analysis enable the usage of bone datasets representative of current populations for implant design and optimization. Additionally, with the advancement of medical imaging technology, larger bone datasets are available. In this regard, manual or semi-automated fit assessment method is less suitable as they are both operator-dependent process and require long processing time. An automated fit assessment method that integrates plate positioning and fit assessment processes is desirable as it enables batch processing, which will increase the efficiency of task execution and produce operator-independent outcome. [Harith H, Malekani J, Schmutz B, Schuetz M, Yarlagadda PKDV (2013) Quantitative Fit Analysis of Orthopedic Bone Plates: Methods, Criteria and Approach]
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Last date updated on March, 2024

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