Finite element modelling of plantar pressure beneath the second ray with flexor muscle loading

Lemmon, David R.; Cavanagh, P. R.

doi:10.1016/s0268-0033(97)88326-x

Cited by 8 publications

(3 citation statements)

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“…Research by other investigators included a partial 2D model of a sagittal section including the second metatarsal and plantar and dorsal soft tissue [12,35] and proximal phalanx and tendon [13]; 2D models of five plantar sections including bones, ligaments, cartilages, plantar fascia and fat pad in the standing position [11,30]; a two-arch 3D model of the foot in the pushoff stance including bones, cartilage, ligaments and plantar soft tissue [15,31]; a 3D model of the foot and ankle in the standing position including bones, cartilages, ligaments and plantar fascia [17]. The main differentiating characteristic of our work is that the issues of model verification and validation were addressed in a systematic way, giving clear indication of the influence of model parameters in the results and how the errors of discretization were estimated and controlled.…”

Section: Discussionmentioning

confidence: 99%

Numerical simulation of the plantar pressure distribution in the diabetic foot during the push-off stance

et al. 2006

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Section: Discussionmentioning

confidence: 99%

Numerical simulation of the plantar pressure distribution in the diabetic foot during the push-off stance

et al. 2006

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“…This is a significant improvement as compared with previous FE models which have joints that were over-constrained by "fusing" them [22][23][24]26,27,36] or using kinematic-controlled "connectors" [25,38]. Neither of these two reflect the anatomical joint constraints that are actually governed by the bony congruence facets and passive stabilizers (i.e., ligaments and fascia) [39].…”

Section: Validationmentioning

confidence: 97%

Effects of internal stress concentrations in plantar soft-tissue—A preliminary three-dimensional finite element analysis

Chen

Lee

et al. 2010

Medical Engineering & Physics

116

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“…[ 6 – 12 ] Lemmon et al developed numerical models for numerical studies on the influence of the thickness of the therapeutic footwear on the tissue, reporting an accuracy of 5.9% compared to the experimental ones. [ 13 , 14 ] Gefen [ 15 , 16 ] developed 2D finite-element models useful for target surgery in a leg in vertical position. At the same time, Cheung et al [ 17 , 18 ] used three-dimensional models of a leg, corresponding to a vertical position, and investigated the effects of changes in rigidity, as well as those of force changes in the Achilles tendon, using forces between 0 and 700 N. Using FEM, Johnson and Haihua [ 19 ] also showed that general rigidity of the foot and of the plantar aponeurosis are strongly influenced by the ankle bearing and attachment conditions.…”

Section: Discussionmentioning

confidence: 99%

Finite-element-based 3D computer modeling for personalized treatment planning in clubfoot deformity

et al. 2018

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Rationale:In clubfoot deformity, planning of corrective treatment requires a complex understanding of the foot anatomy, as well as of the geometry and distribution of altered mechanical forces acting at the level of the deformed foot. At the same time, treatment success depends largely on the selection of the most appropriate shape and angles of the customized orthesis developed for foot correction. Therefore, a complex assessment of the intensity and distribution of the mechanical forces at this site is mandatory prior to initiation of any corrective therapy.Patient concerns:We present here the case of a 3-year-old male child with clubfoot deformity, weighting 20 kg, with no other congenital malformations, in whom finite element modeling (FEM) technology associated with a newly developed technique of three-dimensional (3D) computational simulation was applied for personalized treatment planning.Interventions:The FEM-based computational 3D simulation technique allowed selection of the corrective treatment associated with the most physiologic pattern of force distribution at the level of the foot.Outcomes:The proposed technique led to selection of the most appropriate therapy that successfully corrected the foot deformity. After 3D computer simulations, the elongations recorded were 2.71 cm for Achilles tendon, 1.69 cm for anterior tibialis tendon, 1.35 cm for the long flexor of the toes, and 1.69 cm for the long flexor of the hallux. The Von Mises equivalent stress distribution was σ = 4.26 MPa, not exceeding the elastic capacity of the bones, therefore the residual deformations were minimal. The customized treatment selected in this way was highly appropriate for the child, and led to complete recovery of the deformity in three months.Lessons:This case is the first one in which FEM-based computational 3D modeling was applied for selection of treatment strategy in a child with clubfoot. The case reported here illustrates the role of advanced medical computer technology, based on complex image processing, FEM and 3D simulations, in providing an effective clinical decision support tool for personalized treatment selection in children with clubfoot deformity.

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Finite element modelling of plantar pressure beneath the second ray with flexor muscle loading

Cited by 8 publications

References 0 publications

Numerical simulation of the plantar pressure distribution in the diabetic foot during the push-off stance

Numerical simulation of the plantar pressure distribution in the diabetic foot during the push-off stance

Effects of internal stress concentrations in plantar soft-tissue—A preliminary three-dimensional finite element analysis

Finite-element-based 3D computer modeling for personalized treatment planning in clubfoot deformity

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