|
|
Long-term Prediction of Bone Density Distribution for Retained Intramedullary Nail |
WANG Chao1, WANG Li-zhen1, FAN Yu-bo1,2 |
1. Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; 2. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China |
|
|
Abstract Intramedullary nailing is a standard treatment for adult long bone fracture. Previous numerous animal, biomechanical and clinical studies have documented the short-term performance of the intramedullary nails; however, the long-term influence of the nails on the change of bone density distribution is still not fully understood. According to bone remodeling theory, a set of computational algorithms was implemented in the finite element model to predict the bone density distribution for retained intramedullary nail. The bone density was recorded to observe the progression of remodeling. The results show that the effect of intramedullary nail on the Gruen zone 4 and 5 of femur is small, while the effect on the Gruen zone 1, 2 and 6 is greater than other zones. This simulation indicates that intramedullary nail plays a significant role in the long-term bone density distribution after surgery.
|
Received: 22 September 2018
|
|
Fund:National Natural Science Foundation of China; grant number:10925208 and 11120101001; grant sponsor: National Basic Research Program of China; grant number: 2011CB710901 |
Corresponding Authors:
FAN Yu-bo. E-mail: yubofan@buaa.edu.cn
|
|
|
|
[1] Helwig P, Faust G, Hindenlang U, et al.Finite element analysis of four different implants inserted in different positions to stabilize an idealized trochanteric femoral fracture[J]. Injury, 2009, 40(3):288-295. [2] Allen JC Jr, Lindsey RW, Hipp JA, et al.The effect of retained intramedullary nails on tibial bone mineral density[J]. Clinical Biomechanics, 2008, 23(6):839-843. [3] Nysted M, Benum P, Klaksvik J, et al.Periprosthetic bone loss after insertion of an uncemented, customized femoral stem and an uncemented anatomical stem. A randomized DXA study with 5-year follow-up[J]. Acta Orthopaedica, 2011, 82(4):410-416. [4] Weinans H, Huiskes R, Grootenboer HJ.The behavior of adaptive bone-remodeling simulation models[J]. Journal of Biomechanics, 1992, 25(12):1425-1441. [5] Robling AG, Castillo AB, Turner CH.Biomechanical and molecular regulation of bone remodeling[J]. Annual Review of Biomedical Engineering, 2006, 8:455-498. [6] Lin CL, Lin YH, Chang SH.Muki-factorial analysis of variables influencing the bone loss of an implant placed in the maxilla: prediction using FEA and SED bone remodeling algorithm[J]. Journal of Biomechanics, 2010, 43(4):644-651. [7] Wang LZ, Zhao F, Han JY, et al.Biomechanical study on proximal femoral nail antirotation(PFNA) for intertrochanteric fracture[J]. Journal of Mechanics in Medicine and Biology, 2012, 12(4):1250075. [8] Heller MO, Bergmann G, Kassi JP, et al.Determination of muscle loading at the hip joint for use in preclinical testing[J]. Journal of Biomechanics, 2005, 38(5):1155-1163. |
[1] |
Li Baoming, Hu Jiarui, Xu Haijun, Wang Cong, Jiang Yanni, Zhang Zhihong, Xu Jun. Deep Cascaded Network for Automated Detection of Cancer MetastasisRegion from Whole Slide Image of Breast Lymph Node[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 257-264. |
[2] |
Xu Jie, Wang Xunheng, Li Lihua. Investigating Brain Networks for ADHD Children Based on Phase Synchronization of Resting State fMRI[J]. Chinese Journal of Biomedical Engineering, 2020, 39(3): 265-270. |
|
|
|
|