An Easy and Economical Way to Produce a Three-Dimensional Bone Phantom in a Dog with Antebrachial Deformities

Animals

GareeballahOsman Adam¹  Jin-Shang Kim¹  Shang-Jin Kim¹  Tsendsuren Tungalag¹  DongKwon Yang¹  Hyung-Sub Kang¹  Hee-Ryung Lee¹  NamSoo Kim¹  Sei-Jin Lee² 

[1] College of Veterinary Medicine, Jeonbuk National University, Specialized Campus, Iksan 54596, Korea;Korea Basic Science Institute Jeonju Center, Jeonju 54896, Korea;

关键词: 3-D;    antebrachial growth deformities;    corrective osteotomy;    dog;    patient-specific instrumentation;    virtual surgical planning;   

DOI  :  10.3390/ani10091445

来源: DOAJ

【 摘 要 】

3-D surgical planning for restorative osteotomy is costly and time-consuming because surgeons need to be helped from commercial companies to get 3-D printed bones. However, practitioners can save time and keep the cost to a minimum by utilizing free software and establishing their 3-D printers locally. Surgical planning for the corrective osteotomy of antebrachial growth deformities (AGD) is challenging for several reasons (the nature of the biapical or multiapical conformational abnormalities and lack of a reference value for the specific breed). Pre-operative planning challenges include: a definite description of the position of the center of rotation of angulation (CORA) and proper positioning of the osteotomies applicable to the CORA. In the present study, we demonstrated an accurate and reproducible bone-cutting technique using patient-specific instrumentations (PSI) 3-D technology. The results of the location precision showed that, by using PSIs, the surgeons were able to accurately replicate preoperative resection planning. PSI results also indicate that PSI technology provides a smaller standard deviation than the freehand method. PSI technology performed in the distal radial angular deformity may provide good cutting accuracy. In conclusion, the PSI technology may improve bone-cutting accuracy during corrective osteotomy by providing clinically acceptable margins.

【 授权许可】

Unknown