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用于结构性骨移植选择的三维虚拟骨库系统工作流程：技术报告

Three-dimensional virtual bone bank system workflow for structural bone allograft selection: a technical report.

作者信息

Ritacco Lucas Eduardo, Farfalli German Luis, Milano Federico Edgardo, Ayerza Miguel Angel, Muscolo Domingo Luis, Aponte-Tinao Luis

机构信息

Virtual Planning and Navigation Unit, Department of Health Informatics, Italian Hospital of Buenos Aires, 1199 Buenos Aires, Argentina ; Institute of Orthopedics "Carlos E. Ottolenghi", Italian Hospital of Buenos Aires, Potosí 4247, 1199 Buenos Aires, Argentina.

出版信息

Sarcoma. 2013;2013:524395. doi: 10.1155/2013/524395. Epub 2013 Apr 9.

DOI:10.1155/2013/524395
PMID:23690733
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3649776/
Abstract

Structural bone allograft has been used in bone defect reconstruction during the last fifty years with acceptable results. However, allograft selection methods were based on 2-dimensional templates using X-rays. Thanks to preoperative planning platforms, three-dimensional (3D) CT-derived bone models were used to define size and shape comparison between host and donor. The purpose of this study was to describe the workflow of this virtual technique in order to explain how to choose the best allograft using a virtual bone bank system. We measured all bones in a 3D virtual environment determining the best match. The use of a virtual bone bank system has allowed optimizing the allograft selection in a bone bank, providing more information to the surgeons before surgery. In conclusion, 3D preoperative planning in a virtual environment for allograft selection is an important and helpful tool in order to achieve a good match between host and donor.

摘要

在过去五十年中，结构性骨移植已被用于骨缺损重建，效果尚可。然而，同种异体骨的选择方法是基于使用X射线的二维模板。得益于术前规划平台，三维（3D）CT衍生的骨模型被用于确定宿主和供体之间的尺寸和形状比较。本研究的目的是描述这种虚拟技术的工作流程，以解释如何使用虚拟骨库系统选择最佳的同种异体骨。我们在3D虚拟环境中测量所有骨骼以确定最佳匹配。虚拟骨库系统的使用使得在骨库中优化同种异体骨的选择成为可能，在手术前为外科医生提供了更多信息。总之，在虚拟环境中进行3D术前规划以选择同种异体骨是实现宿主与供体良好匹配的重要且有用的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/f1145bc217fa/SRCM2013-524395.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/fa06650f861b/SRCM2013-524395.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/b994c6880d26/SRCM2013-524395.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/df0b6e3fe2d9/SRCM2013-524395.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/f1145bc217fa/SRCM2013-524395.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/fa06650f861b/SRCM2013-524395.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/b994c6880d26/SRCM2013-524395.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/df0b6e3fe2d9/SRCM2013-524395.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc3a/3649776/f1145bc217fa/SRCM2013-524395.004.jpg

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