Analysis of strength and failure pattern of human proximal femur using quantitative computed tomography (QCT)-based finite element method

Study of sex differences in the association between hip fracture risk and body parameters by DXA-based biomechanical modeling

“…After adjustment for BMD, impact force is positively correlated with FRI in both men (r = 0.83 , p b 0.001) and women (r = 0.81 , p b 0.001). A number of experimental and analytical studies have been performed to determine the range of impact force that can cause hip fracture [31,[83][84][85][86][87][88]. However, the results of our study showed that the correlation between impact force and fracture risk was not strong before adjustment for BMD.…”

Head-Neck Osteoplasty has Minor Effect on the Strength of an Ovine Cam-FAI Model: In Vitro and Finite Element Analyses

“…were comparable to what models of intact human femurs in stance configuration achieve (R 2 = 0.82-0.95) [2,4,7,8,10,16]. QCT-based computer models were also able to catch the weakening of ovine femurs observed in vitro, even if the resection size had a larger influence on the FE predictions than it did experimentally.…”

“…Ideally, the resulting femoral strength after osteochondroplasty could be predicted preoperatively using computer simulations based on finite element (FE) methods. These computer models are generated from quantitative CT (QCT) after conversion of the Hounsfield units to bone mineral density (BMD) values [2,4,7,8,10,16] and provide an accurate measure of bone strength [31], a criterion that can discriminate patients at risk for hip fracture [6]. However, unlike numerous FE models predicting human femoral strength [2,4,7,8,10,16], the one study dealing with FAI correction [20] relied on a single femur with simplified linear elastic material properties (ie, no microcracks) and no direct experimental validation.…”

Prediction of local proximal tibial subchondral bone structural stiffness using subject-specific finite element modeling: Effect of selected density–modulus relationship

“…The obtained coefficient of determination when using these combinations (R 2 = 0.75-0.77) fell close to the midway point of reported R 2 values (ranging between 0.55 and 0.98) for studies in which QCT-FE has been used to predict surface strain and\or stress levels at long bones (tibia, femur, radius) (Bessho et al, 2007;Gray et al, 2008;Helgason et al, 2008b;Lengsfeld et al, 1998;Schileo et al, 2007;Taddei et al, 2006;Theodorou et al, 2005;Viceconti et al, 1998;Yosibash et al, 2007). The obtained coefficient of determination, however, fell short of reported R 2 values where QCT-FE was used to predict femoral whole bone stiffness and fracture strength (R 2 ranging between 0.81 and 0.89) (Bessho et al, 2007;Keyak, 2001;Keyak et al, 1997;Koivumäki et al, 2012;Mirzaei et al, 2014;Nishiyama et al, 2013) and proximal tibial overall torsional stiffness and strength (R 2 equal to Table 3 Coefficient of determination (R 2 ), mean percent error of prediction (%), root mean squared error between predicted and measured stiffness values (RMSE), and normalized root mean squared error in relation to maximum measured stiffness (RMSE%) for evaluated cortical-and trabecular-specific E-BMD density-modulus relationships. A bone mineral density (BMD) threshold of 0.465 g/cm 3 (equivalent to an apparent density of 1 g/cm 3 ) was used to distinguish cortical from trabecular bone (Gray et al, 2008) for use in the different E-BMD equations.…”