Prediction of the strength and fracture location of the femoral neck by CT-based finite-element method: a preliminary study on patients with hip fracture
The purpose of this study was to predict fracture load and fracture location of the femora by means of the originally developed CT-based finite-element method (FEM). The femora of ten patients with contralateral hip fracture were analyzed to estimate fracture strength and to investigate whether the...
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Published in | Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association Vol. 9; no. 6; pp. 545 - 550 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Japan
Elsevier B.V
01.11.2004
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | The purpose of this study was to predict fracture load and fracture location of the femora by means of the originally developed CT-based finite-element method (FEM). The femora of ten patients with contralateral hip fracture were analyzed to estimate fracture strength and to investigate whether the predicted fracture locations were similar to those of contralateral hip fractures. FEM has been utilized to determine the stress or strain distribution in bones under a certain load. FEM analyses of the strength of the femora in cadavers and patients have been reported, but those of hip fracture patients have not been analyzed. The femora of ten patients with contralateral hip fracture and those of three volunteers were analyzed based on the axial CT images of the whole femora. Prediction of hip fracture load and failure locations was made using CT-based finite-element analysis software. The predicted strength of the patients was less than half that of volunteers, and the predicted fracture lines existed at the proximal femur in all patients. It can be concluded that the FEM analyses adopted in this study are able to predict the fracture locations and load of the femora in patients with hip fracture. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0949-2658 1436-2023 |
DOI: | 10.1007/s00776-004-0824-1 |