Subject-specific finite element models could improve decision making in canine long-bone fracture repair. However, it preliminary requires that finite element models predicting the mechanical response of canine long bone are proposed and validated. We present here a combined experimental–numerical approach to test the ability of subject-specific finite element models to predict the bending response of seven pairs of canine humeri directly from medical images. Our results show that bending stiffness and yield load are predicted with a mean absolute error of 10.1% (±5.2%) for the 14 samples. This study constitutes a basis for the forthcoming optimization of canine long-bone fracture repair.
KumarKMoghaIVAithalHP. Occurrence and pattern of long bone fractures in growing dogs with normal and osteopenic bones. J Vet Med A Physiol Pathol Clin Med2007; 54: 484–490.
2.
MillerCWSumner-SmithGSheridanC. Using the Unger system to classify 386 long bone fractures in dogs. J Small Anim Pract1998; 39: 390–393.
3.
VossKKullMAHässigM. Repair of long-bone fractures in cats and small dogs with the Unilock mandible locking plate system. Vet Comp Orthop Traumatol2009; 5: 398–405.
4.
AyyappanSShafiuzamaMGaneshTN. A clinical study on external fixators for long bone fracture management in dogs. Indian J Vet Surg2009; 30: 90–92.
5.
RahalCOtoniCPereiraO. Synthesis Pengo System plates for the treatment of long-bone diaphyseal fractures in dogs. Vet Comp Orthop Traumatol2008; 21: 59–63.
6.
DuelandRJohnsonKRoeS. Interlocking nail treatment of diaphyseal long-bone fractures in dogs. J Am Vet Med Assoc1999; 214: 59–66.
7.
PalierneSAsimusEMathonD. Geometric analysis of the proximal femur in a diverse sample of dogs. Res Vet Sci2006; 80: 243–252.
8.
DvořákMNečasAZatloukalJ.Complications of long bone fracture healing in dogs: functional and radiological criteria for their assessment. Acta Vet Brno2000; 69: 107–114.
9.
JacksonLCPacchianaPD.Common complications of fracture repair. Clin Tech Small Anim Pract2004; 19: 168–179.
10.
BlakeCABoudrieauRJTorranceBS. Single cycle to failure in bending of three standard and five locking plates and plate constructs. Vet Comp Orthop Traumatol2011; 24: 408–417.
11.
ZahnKFreiRWunderleD. Mechanical properties of 18 different AO bone plates and the clamp-rod internal fixation system tested on a gap model construct. Vet Comp Orthop Traumatol2008; 21: 185–194.
12.
NassiriMMacDonaldBO’ByrneJM.Locking compression plate breakage and fracture non-union: a finite element study of three patient-specific cases. Eur J Orthop Surg Tr2012; 22: 275–281.
13.
OhJ-KSahuDAhnYH. Effect of fracture gap on stability of compression plate fixation: a finite element study. J Orthop Res2010; 28: 462–467.
14.
VajgelACamargoIBWillmersdorfRB. Comparative finite element analysis of the biomechanical stability of 2.0 fixation plates in atrophic mandibular fractures. J Oral Maxillofac Surg2013; 71: 335–342.
15.
BesshoMOhnishiIMatsumotoT. Prediction of proximal femur strength using a CT-based nonlinear finite element method: differences in predicted fracture load and site with changing load and boundary conditions. Bone2009; 45: 226–231.
16.
HambliRBettamerAAllaouiS.Finite element prediction of proximal femur fracture pattern based on orthotropic behaviour law coupled to quasi-brittle damage. Med Eng Phys2012; 34: 202–210.
17.
TsouknidasAAnagnostidisKMaliarisG. Fracture risk in the femoral hip region: a finite element analysis supported experimental approach. J Biomech2012; 45: 1959–1964.
18.
HambliRAllaouiS.A robust 3D finite element simulation of human proximal femur progressive fracture under stance load with experimental validation. Ann Biomed Eng2013; 41: 2515–2527.
19.
AutefageAPalierneSCharronC. Effective mechanical properties of diaphyseal cortical bone in the canine femur. Vet J2012; 194: 202–209.
20.
DupreySBruyereKVerriestJ-P.Experimental and simulated flexion tests of humerus. Int J Crashworthines2007; 12: 153–158.
21.
RidhaHThurnerPJ.Finite element prediction with experimental validation of damage distribution in single trabeculae during three-point bending tests. J Mech Behav Biomed Mater2013; 27: 94–106.
22.
VargheseBShortDPenmetsaR. Computed-tomography-based finite-element models of long bones can accurately capture strain response to bending and torsion. J Biomech2011; 44: 1374–1379.
23.
TrabelsiNYosibashZWutteC. Patient-specific finite element analysis of the human femur: a double-blinded biomechanical validation. J Biomech2011; 44: 1666–1672.
24.
VicecontiMOlsenSNolteL-P. Extracting clinically relevant data from finite element simulations. Clin Biomech2005; 20: 451–454.
25.
KalenderWASuessC.A new calibration phantom for quantitative computed tomography. Med Phys1987; 14: 863–866.
26.
AustmanRLMilnerJSHoldsworthDW. The effect of the density-modulus relationship selected to apply material properties in a finite element model of long bone. J Biomech2008; 41: 3171–3176.
27.
FedorovABeichelRKalpathy-CramerJ. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging2012; 30: 1323–1341.
28.
D’OtreppeVBomanRPonthotJ-P.Generating smooth surface meshes from multi-region medical-images. Int J Numer Method Biomed Eng2012; 28: 642–660.
29.
SullivanJF.Technical physics. New York: Wiley, 1988.
30.
ReillyDTBursteinAH.The elastic and ultimate properties of compact bone tissue. J Biomech1975; 8: 393–405.
31.
WirtzDCSchiffersNPandorfT. Critical evaluation of known bone material properties to realize anisotropic FE-simulation of the proximal femur. J Biomech2000; 33: 1325–1330.
32.
LiSDemirciESilberschmidtVV.Variability and anisotropy of mechanical behavior of cortical bone in tension and compression. J Mech Behav Biomed Mater2013; 21: 109–120.
33.
BayraktarHHMorganEFNieburGL. Comparison of the elastic and yield properties of human femoral trabecular and cortical bone tissue. J Biomech2004; 37: 27–35.
34.
VerhulpEVan RietbergenBHuiskesR.Load distribution in the healthy and osteoporotic human proximal femur during a fall to the side. Bone2008; 42: 30–35.
35.
VerimOTasgetirenSErMS. Anatomical evaluation and stress distribution of intact canine femur. Int J Med Robot2013; 9: 103–108.
36.
BomanRPonthotJ-P.Efficient ALE mesh management for 3D quasi-Eulerian problems. Int J Numer Meth Eng2012; 92: 857–890.
37.
JeunechampsP-PPonthotJ-P.An efficient 3D implicit approach for the thermomechanical simulation of elastic–viscoplastic materials submitted to high strain rate and damage. Int J Numer Meth Eng2013; 94: 920–960.
38.
MengoniMPonthotJP.A generic anisotropic continuum damage model integration scheme adaptable to both ductile damage and biological damage-like situations. Int J Plasticity2015; 66: 46–70.
39.
MengoniMVoideRde BienC. A non-linear homogeneous model for bone-like materials under compressive load. Int J Numer Method Biomed Eng2012; 28: 273–287.
40.
HelgasonBTaddeiFPálssonH. A modified method for assigning material properties to FE models of bones. Med Eng Phys2008; 30: 444–453.
41.
TaddeiFSchileoEHelgasonB. The material mapping strategy influences the accuracy of CT-based finite element models of bones: an evaluation against experimental measurements. Med Eng Phys2007; 29: 973–979.
42.
ZengXWenSLiM. Estimating Young’s modulus of materials by a new three-point bending method. Adv Mater Sci Eng2014; 2014: e189423.
43.
DoblaréMGarcıaJMGómezMJ.Modelling bone tissue fracture and healing: a review. Eng Fract Mech2004; 71: 1809–1840.
44.
BurkhartTAQuennevilleCEDunningCE. Development and validation of a distal radius finite element model to simulate impact loading indicative of a forward fall. Proc IMechE, Part H: J Engineering in Medicine2014; 228: 258–271.
45.
PengLBaiJZengX. Comparison of isotropic and orthotropic material property assignments on femoral finite element models under two loading conditions. Med Eng Phys2006; 28: 227–233.
46.
YangHMaXGuoT.Some factors that affect the comparison between isotropic and orthotropic inhomogeneous finite element material models of femur. Med Eng Phys2010; 32: 553–560.
