全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
Sarcoma  2013 

Three-Dimensional Virtual Bone Bank System Workflow for Structural Bone Allograft Selection: A Technical Report

DOI: 10.1155/2013/524395

Full-Text   Cite this paper   Add to My Lib

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. 1. Introduction The uses of bone allograft after bone tumor resection have been described with acceptable results in osteoarticular, transepiphyseal, and intercalary reconstructions [1–4]. Selection of the closest anatomical match between the host and the donor is crucial in order to obtain adequate joint stability, alignment, appropriate wound closure, and minor degenerative changes of the articular surface in osteoarticular allograft. Since 1950, bone allograft selection according to size and shape for limb reconstruction was made by comparing X-ray images between donors and patient [5]. This method had inaccuracies between the X-ray magnification scale and real bone, altering the final selection [6]. In the 1970s, CT scanner allowed to refine these inaccuracies taking into account one image slice in two dimensions [7]. The previous two decades have seen an increase in the use of virtual scenarios and informatics developments for preoperative planning [8–10]. Three-dimensional patient-specific anatomical models can be constructed from medical image data. We described a virtual technique capable of selecting a suitable allograft according to size and shape through a three-dimensional virtual model. The aim of this paper was to describe the workflow of this technique in different cases in order to explain how to choose the best allograft using a virtual bone bank system. 2. Material and Methods Three-dimensional (3D) virtual bone models from host and donor were obtained following these steps: image acquisition, image segmentation, and 3D bone reconstruction, described in detail below. Once this workflow was

References

[1]  D. L. Muscolo, M. A. Ayerza, L. A. Aponte Tinao, and M. Ranalletta, “Distal femur osteoarticular allograft reconstruction after grade III open fractures in pediatric patients,” Journal of Orthopaedic Trauma, vol. 18, no. 5, pp. 312–315, 2004.
[2]  H. J. Mankin, M. C. Gebhardt, L. C. Jennings, D. S. Springfield, and W. W. Tomford, “Long-term results of allograft replacement in the management of bone tumors,” Clinical Orthopaedics and Related Research, no. 324, pp. 86–97, 1996.
[3]  H. J. Mankin, M. C. Gebhardt, and W. W. Tomford, “The use of frozen cadaveric allografts in the management of patients with bone tumors of the extremities,” Orthopedic Clinics of North America, vol. 18, no. 2, pp. 275–289, 1987.
[4]  D. L. Muscolo, M. A. Ayerza, L. A. Aponte-Tinao, and M. Ranalletta, “Partial epiphyseal preservation and intercalary allograft reconstruction in high-grade metaphyseal osteosarcoma of the knee,” Journal of Bone and Joint Surgery A, vol. 87, supplement 1, part 2, pp. 226–236, 2005.
[5]  C. E. Ottolenghi, “Massive osteoarticular bone grafts. Transplant of the whole femur,” Journal of Bone and Joint Surgery, British, vol. 48, no. 4, pp. 646–659, 1966.
[6]  K. S. Conn, M. T. Clarke, and J. P. Hallett, “A simple guide to determine the magnification of radiographs and to improve the accuracy of preoperative templating,” Journal of Bone and Joint Surgery, British, vol. 84, no. 2, pp. 269–272, 2002.
[7]  D. L. Muscolo, M. A. Ayerza, L. A. Aponte-Tinao, and M. Ranalletta, “Use of distal femoral osteoarticular allografts in limb salvage surgery. Surgical technique,” The Journal of Bone and Joint Surgery, vol. 88, supplement 1, part 2, pp. 305–321, 2006.
[8]  E. Y. Chao, P. Barrance, E. Genda, N. Iwasaki, S. Kato, and A. Faust, “Virtual reality (VR) techniques in orthopaedic research and practice,” Studies in Health Technology and Informatics, vol. 39, pp. 107–114, 1997.
[9]  D. Cheong and G. D. Letson, “Computer-assisted navigation and musculoskeletal sarcoma surgery,” Cancer Control, vol. 18, no. 3, pp. 171–176, 2011.
[10]  M. Robiony, I. Salvo, F. Costa et al., “Accuracy of virtual reality and stereolithographic models in maxillo-facial surgical planning,” Journal of Craniofacial Surgery, vol. 19, no. 2, pp. 482–489, 2008.
[11]  L. Paul, P. L. Docquier, O. Cartiaux, O. Cornu, C. Delloye, and X. Banse, “Selection of massive bone allografts using shape-matching 3-dimensional registration,” Acta Orthopaedica, vol. 81, no. 2, pp. 252–257, 2010.
[12]  L. E. Ritacco, A. A. Espinoza Orías, L. Aponte-Tinao, D. L. Muscolo, F. G. de Quirós, and I. Nozomu, “Three-dimensional morphometric analysis of the distal femur: a validity method for allograft selection using a virtual bone bank,” Studies in Health Technology and Informatics, vol. 160, part 2, pp. 1287–1290, 2010.
[13]  L. Paul, P. L. Docquier, O. Cartiaux, O. Cornu, C. Delloye, and X. Banse, “Inaccuracy in selection of massive bone allograft using template comparison method,” Cell and Tissue Banking, vol. 9, no. 2, pp. 83–90, 2008.
[14]  H. Bou Sleiman, L. Paul, L.-P. Nolte, and M. Reyes, “Comparative evaluation of pelvic allograft selection methods,” Annals of Biomedical Engineering, 2013.
[15]  H. Bou Sleiman, L. E. Ritacco, L. Aponte-Tinao, D. L. Muscolo, L. P. Nolte, and M. Reyes, “Allograft selection for transepiphyseal tumor resection around the knee using three-dimensional surface registration,” Annals of Biomedical Engineering, vol. 39, no. 6, pp. 1720–1727, 2011.
[16]  L. E. Ritacco, C. Seiler, G. L. Farfalli, et al., “Validity of an automatic measure protocol in distal femur for allograft selection from a three-dimensional virtual bone bank system,” Cell and Tissue Banking, pp. 1–8, 2012.
[17]  W. F. Enneking and D. A. Campanacci, “Retrieved human allografts. A clinicopathological study,” Journal of Bone and Joint Surgery A, vol. 83, no. 7, pp. 971–986, 2001.
[18]  D. L. Muscolo, M. A. Ayerza, and L. A. Aponte-Tinao, “Survivorship and radiographic analysis of knee osteoarticular allografts,” Clinical Orthopaedics and Related Research, no. 373, pp. 73–79, 2000.
[19]  D. L. Muscolo, M. A. Ayerza, L. A. Aponte-Tinao, and M. Ranalletta, “Use of distal femoral osteoarticular allografts in limb salvage surgery,” Journal of Bone and Joint Surgery A, vol. 87, no. 11, pp. 2449–2455, 2005.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133