Abstract：Objective To describe the establishment of a visual bone bank system and workflow of allograft selection，and observe long-term follow-up results of patients after allograft implantation.Methods Allografts were CT scanned and stored in Digital Imaging and Communications in Medicine (DICOM) files.Then，image segmentation was conducted and 3D model reconstructed to establish a virtual bone bank system.Based on the volume registration method，allografts were registrated in the bone bank system.The selection and matching of the allograft were shown by treatments to a patient with Ewing's sarcoma in pelvis and a patient with osteosarcoma in distal tibia.With a careful matching process，the surgery was conducted with the help of Computer-assisted Orthopaedic Surgery (CAOS) navigation system.Results By combining the virtual bone bank and CAOS，matching accuracy was satifactory.Within 5 years follow-up，the two patients were alive without evidence of disease and with a good limb fuction.Conclusion The virtual bone bank system is helpful for allograft selection，matching，tumour excision and bone reconstruction，thus improving the safety and effectiveness of limb-salvage surgery for orthopaedic oncology.
杨迪 1，吴智钢 1，2，付军 1，范宏斌 1，李小康 1，郭征 1*. 数字骨库辅助异体骨选配在骨肿瘤中的应用及长期疗效观察[J]. 实用骨科杂志, 2019, 25(5): 423-427.
Yang Di 1，Wu Zhigang 1，2，Fu Jun 1，et al. The Virtual Bone Bank System for Selecting Massivebone Allograft in Orthopaedic Oncology and Results of Long Time Follow-up. sygkzz, 2019, 25(5): 423-427.
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