An optimization study of screw position and number of screws for the fixation stability of a distal femoral locking compression plate using genetic algorithms

Ching Chi Hsu, Chian Her Lee, Sung Ming Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A distal locking compression plate (DLCP) has been used to treat distal femoral fracture. An DLCP with a large number of screws can improve fixation stability, but the use of a small number of screws can reduce the damage on soft tissue and bone. The purpose of this study was to determine the best screw position and number of DLCP screws for distal femoral fracture fixation. Three-dimensional finite element models of the spine-pelvis-femur complex were developed to evaluate the fixation stability. The best screw position and number of DLCP screws were determined using a simulation-based genetic algorithm. The results showed that the DLCP with eight screws had acceptable fixation stability. The best screw position of the DLCP was four DLCP screws on either side of the bone fragment with three DLCP screws as close as practicable to the fracture site.

Original languageEnglish
Title of host publicationGECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
PublisherAssociation for Computing Machinery, Inc
Pages282-283
Number of pages2
ISBN (Electronic)9781450357647
DOIs
Publication statusPublished - Jul 6 2018
Event2018 Genetic and Evolutionary Computation Conference, GECCO 2018 - Kyoto, Japan
Duration: Jul 15 2018Jul 19 2018

Conference

Conference2018 Genetic and Evolutionary Computation Conference, GECCO 2018
CountryJapan
CityKyoto
Period7/15/187/19/18

Fingerprint

Fixation
Locking
Compression
Genetic algorithms
Genetic Algorithm
Optimization
Bone
Fracture fixation
Spine
Soft Tissue
Finite Element Model
Fragment
Damage
Three-dimensional
Evaluate
Tissue

Keywords

  • Distal femoral fracture
  • Finite element analysis
  • Genetic algorithm
  • Locking compression plate

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Hsu, C. C., Lee, C. H., & Hsu, S. M. (2018). An optimization study of screw position and number of screws for the fixation stability of a distal femoral locking compression plate using genetic algorithms. In GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion (pp. 282-283). Association for Computing Machinery, Inc. https://doi.org/10.1145/3205651.3205665

An optimization study of screw position and number of screws for the fixation stability of a distal femoral locking compression plate using genetic algorithms. / Hsu, Ching Chi; Lee, Chian Her; Hsu, Sung Ming.

GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, 2018. p. 282-283.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hsu, CC, Lee, CH & Hsu, SM 2018, An optimization study of screw position and number of screws for the fixation stability of a distal femoral locking compression plate using genetic algorithms. in GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, pp. 282-283, 2018 Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, 7/15/18. https://doi.org/10.1145/3205651.3205665
Hsu CC, Lee CH, Hsu SM. An optimization study of screw position and number of screws for the fixation stability of a distal femoral locking compression plate using genetic algorithms. In GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc. 2018. p. 282-283 https://doi.org/10.1145/3205651.3205665
Hsu, Ching Chi ; Lee, Chian Her ; Hsu, Sung Ming. / An optimization study of screw position and number of screws for the fixation stability of a distal femoral locking compression plate using genetic algorithms. GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, 2018. pp. 282-283
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