Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10439-006-9237-y
Title: Predicting failure load of the femur with simulated osteolytic defects using noninvasive imaging technique in a simplified load case
Authors: Lee, T. 
Keywords: Fracture load
Load-carrying capacity
Noninvasive QCT imaging technique
Simulated lytic defects
Tumor metastasis
Issue Date: Apr-2007
Source: Lee, T. (2007-04). Predicting failure load of the femur with simulated osteolytic defects using noninvasive imaging technique in a simplified load case. Annals of Biomedical Engineering 35 (4) : 642-650. ScholarBank@NUS Repository. https://doi.org/10.1007/s10439-006-9237-y
Abstract: Currently, there is no proven sensitive or specific method for predicting pathological fracture of the femur. The clinical management of lytic femoral metastases is based on geometric measurement of the bone, of the defect, or both. However, the mechanical behavior of a structure depends on both its material and geometric properties. Our hypothesis is that a change in bone structural properties as the result of tumor induced osteolysis determines the fracture risk in bones with skeletal metastases. We developed a method of QCT (Quantitative Computed Tomography) combined with engineering beam analysis as a noninvasive tool for measuring the material and geometric properties of the femur with simulated lytic defects in the intertrochanteric region. In this ex-vivo study we prove that engineering beam structural analysis applied to serial transaxial QCT scans through human femora with simulated lytic defects at the proximal femur predicts the load at failure and location of fracture better than current clinical guidelines. Structural rigidity measured by QCT in this study may be used to predict the load carrying capacity of femurs with metastatic defects and, furthermore, may be used when the tumor has weakened the bone sufficiently such that pathological fracture is imminent and prophylactic stabilization is necessary. © Biomedical Engineering Society 2007.
Source Title: Annals of Biomedical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/67231
ISSN: 00906964
DOI: 10.1007/s10439-006-9237-y
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