Analysis of inter-fragmentary movement as a function of musculoskeletal loading conditions in sheep
- PMID: 9645534
- DOI: 10.1016/s0021-9290(97)00127-9
Analysis of inter-fragmentary movement as a function of musculoskeletal loading conditions in sheep
Abstract
It is well accepted that inter-fragmentary movement influences the fracture healing process. Small axial movement can stimulate callus formation whereas larger shear movement delays the healing process. It is, therefore, essential for optimal fracture healing to minimize shear and to control axial movement. Unfortunately, the complex gap movements are mostly unknown under the large variety of clinical as well as experimental conditions of fracture fixation. To further understand the complex interactions of musculoskeletal loading and inter-fragmentary movements in bones and to reduce the need for animal experiments, a three-dimensional (3D) musculoskeletal model of the left hind limb of a sheep was developed. From 3D ground reaction forces and inverse dynamics, resultant joint loading was determined over a gait cycle. Muscle and joint contact forces were derived from an optimization routine and internal loads in the tibia and metatarsus from beam theory. Finally, inter-fragmentary movements were calculated from the bony loading condition and experimentally determined stiffness matrices of monolateral AISF external fixator constructs. Both the joint contact forces at the hip and gap movement of a mid-shaft tibial fracture agree with in vivo data reported in the literature. The bones proved to be mainly axially loaded with slightly increasing shear forces toward their ends. The results suggest that inter-fragmentary movement of metatarsal fractures is fairly independent of the fracture location whereas the movement increases in proximal tibial fractures compared to those in the distal and diaphyseal tibia. Considerable shear movement was found for all locations and external fixator mountings. However, shear movement could be minimized with a cranio-lateral rather than a cranio-medial shift from the cranial fixator plane.
Similar articles
-
A method to determine the 3-D stiffness of fracture fixation devices and its application to predict inter-fragmentary movement.J Biomech. 1998 Mar;31(3):247-52. doi: 10.1016/s0021-9290(97)00115-2. J Biomech. 1998. PMID: 9645539
-
Shear movement at the fracture site delays healing in a diaphyseal fracture model.J Orthop Res. 2003 Nov;21(6):1011-7. doi: 10.1016/S0736-0266(03)00098-6. J Orthop Res. 2003. PMID: 14554213
-
Disadvantages of interfragmentary shear on fracture healing--mechanical insights through numerical simulation.J Orthop Res. 2014 Jul;32(7):865-72. doi: 10.1002/jor.22617. Epub 2014 Mar 20. J Orthop Res. 2014. PMID: 24648331
-
Fracture healing of the sheep tibia treated using a unilateral external fixator. Comparison of static and dynamic fixation.Injury. 1999;30 Suppl 1:A44-51. doi: 10.1016/s0020-1383(99)00126-6. Injury. 1999. PMID: 10645369
-
Gait evaluation: a tool to monitor bone healing?Clin Biomech (Bristol). 2005 Nov;20(9):883-91. doi: 10.1016/j.clinbiomech.2005.05.010. Clin Biomech (Bristol). 2005. PMID: 16009475
Cited by
-
The connection between cellular mechanoregulation and tissue patterns during bone healing.Med Biol Eng Comput. 2015 Sep;53(9):829-42. doi: 10.1007/s11517-015-1285-8. Epub 2015 Apr 11. Med Biol Eng Comput. 2015. PMID: 25861747
-
Simulation of in vivo dynamics during robot assisted joint movement.Biomed Eng Online. 2014 Dec 16;13:167. doi: 10.1186/1475-925X-13-167. Biomed Eng Online. 2014. PMID: 25516427 Free PMC article.
-
Percutaneous osseointegrated prostheses for amputees: Limb compensation in a 12-month ovine model.J Biomech. 2011 Oct 13;44(15):2601-6. doi: 10.1016/j.jbiomech.2011.08.020. Epub 2011 Sep 13. J Biomech. 2011. PMID: 21920525 Free PMC article.
-
Real-Time Wireless Platform for In Vivo Monitoring of Bone Regeneration.Sensors (Basel). 2020 Aug 15;20(16):4591. doi: 10.3390/s20164591. Sensors (Basel). 2020. PMID: 32824259 Free PMC article.
-
A novel strain-based bone-fracture healing algorithm is able to predict a range of healing outcomes.Front Bioeng Biotechnol. 2024 Oct 18;12:1477405. doi: 10.3389/fbioe.2024.1477405. eCollection 2024. Front Bioeng Biotechnol. 2024. PMID: 39493303 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous