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Research Papers

Optimization of a Cemented Femoral Prosthesis Considering Bone Remodeling

[+] Author and Article Information
Leandro Luis Corso

Department of Mechanical Engineering,
University of Caxias do Sul,
Rua Francisco Getúlio Vargas,
1130, Bairro Petrópolis,
Caxias do Sul CEP 95070-560, Brazil
e-mail: llcorso@yahoo.com.br

Leandro de Freitas Spinelli

Department of Orthopedics
and Traumatology/Hip Surgery,
Irmandade da Santa Casa de Misericóridia,
Porto Alegre,
Rio Grande do Sul, Brazil;
Department of Engineering,
Federal University of Rio Grande do Sul,
Rua Ramiro Barcelos, 1323/701,
Porto Alegre CEP 90.035-006,
Rio Grande do Sul, Brazil
e-mail: spinelli@portoweb.com.br

Fernando Schnaid

Department of Civil Engineering,
Federal University of Rio Grande do Sul,
Av. Osvaldo Aranha, 99, 3o andar,
Porto Alegre CEP 90050-170,
Rio Grande do Sul, Brazil
e-mail: fernando@ufrgs.br

Crisley Dossin Zanrosso

Medical Department,
Lutheran University of Brazil/ULBRA,
Av. Farroupilha, 8001, Bairro São José,
Canoas CEP 92425-900,
Rio Grande do Sul, Brazil
e-mail: crisleyz@yahoo.com.br

Rogério José Marczak

Department of Mechanical Engineering,
Federal University of Rio Grande do Sul,
Sarmento Leite, 425,
Porto Alegre CEP 90050-170,
Rio Grande do Sul, Brazil
e-mail: rato@mecanica.ufrgs.br

1Corresponding author.

Manuscript received February 7, 2015; final manuscript received October 21, 2015; published online November 18, 2015. Assoc. Editor: Guy M. Genin.

J Biomech Eng 138(1), 011002 (Nov 18, 2015) (7 pages) Paper No: BIO-15-1054; doi: 10.1115/1.4031938 History: Received February 07, 2015; Revised October 21, 2015

The study presents a numerical methodology for minimizing the bone loss in human femur submitted to total hip replacement (THR) procedure with focus on cemented femoral stem. Three-dimensional computational models were used to describe the femoral bone behavior. An optimization procedure using the genetic algorithm (GA) method was applied in order to minimize the bone loss, considering the geometry and the material of the prosthesis as well as the design of the stem. Internal and external bone remodeling were analyzed numerically. The numerical method proposed here showed that the bone mass loss could be reduced by 24%, changing the design parameters.

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References

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Figures

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Fig. 1

Radiography of a cemented total hip arthroplasty

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Fig. 2

Linear law for bone growth/absorption

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Fig. 3

Pseudocode for the GA codification

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Fig. 4

Flowchart of the optimization procedure

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Fig. 5

Three-dimensional model considering (a) loads and boundary conditions and (b) femur three-dimensional model

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Fig. 6

Mass evolution for 1000 days

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Fig. 7

Gradual density variation on a three-dimensional femur: (a) initial density distribution and (b) density distribution after bone remodeling

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Fig. 8

Prosthesis parameters to be optimized

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Fig. 9

Convergence history

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Fig. 10

Comparison between prosthesis: (a) commercial prosthesis and (b) optimized prosthesis

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Fig. 11

Mass evolution for 1000 days, comparison between prosthesis

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