Abstract
Various techniques for defect reconstruction after oncologic orthopaedics surgery exist, and the use of each technique vary depending on the complexity of the case. Biological reconstruction in great defects is a huge challenge for orthopaedics due to the high complication rate. However, bone allografts are highly recommended for major defects especially in younger patients. Clinical reports propose that this technique preserves the durability of bone stock and limb functionality plus a responsible handling of bone banks decreases loss of the usually scarce cadaver bone stock. Access to allografts has been improved owing to centralised bone banks, which develop threedimensional copies for storage and use them for the selection process. Virtual modelling has been recently demonstrated to be a potential predictor to select adequate allograft in preoperative virtual planning. Moreover, shape matching is the foremost method for proper allograft selection.
Manual selection based on key measurements has been for years the industry standard. Computerized manual selection has developed so as to step forward in the allograft selection process. Donors stock can be compared with the patient’s anatomy and make the selection more accurate than before. This chapter will depict the optimistic results of using automatic allograft selection method based on surface registration.
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Bousleiman, H. (2016). Computerized Tools: Allograft Selection. In: Ritacco, L., Milano, F., Chao, E. (eds) Computer-Assisted Musculoskeletal Surgery. Springer, Cham. https://doi.org/10.1007/978-3-319-12943-3_2
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DOI: https://doi.org/10.1007/978-3-319-12943-3_2
Publisher Name: Springer, Cham
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