On mechanically driven biological stimulus for bone remodeling as a diffusive phenomenon

Giorgio, Ivan; Dell’Isola, Francesco; Andreaus, Ugo; Alzahrani, Faris; Hayat, Tasawar; Lekszycki, Tomasz

doi:10.1007/s10237-019-01166-w

Cited by 79 publications

(38 citation statements)

References 122 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, Prasad and Goyal 27 considered Fick’s second law of diffusion to mimic the flow of Ca 2+ ions within the lacunar-canalicular network of bone cortex. Giorgio et al 46 developed diffusion based equations by considering osteoblasts and osteoclasts as feedback mechanism and osteocytes as sensors to predict space and time dependent trabecular internal bone adaptation under exposure of tensile loading. George et al 47 also mathematically explained the activation of feedback mechanism (i.e.…”

Section: Discussionmentioning

confidence: 99%

Modeling cortical bone adaptation using strain gradients

Tiwari

Goyal

Prasad

2021

Proc Inst Mech Eng H

View full text Add to dashboard Cite

Cyclic and low-magnitude loading promotes osteogenesis (i.e. new bone formation). Normal strain, strain energy density and fatigue damage accumulation are typically considered as osteogenic stimuli in computer models to predict site-specific new bone formation. These models however had limited success in explaining osteogenesis near the sites of minimal normal strain, for example, neutral axis of bending. Other stimuli such as fluid motion or strain gradient also stimulate bone formation. In silico studies modeled the new bone formation as a function of fluid motion, however, computation of fluid motion involves complex mathematical calculations. Strain gradients drive fluid flow and thus can also be established as the stimulus. Osteogenic potential of strain gradients is however not well established. The present study establishes strain gradients as osteogenic stimuli. Bending-induced strain gradients are computed at cortical bone cross-sections reported in animal loading in vivo studies. Correlation analysis between strain gradients and site of osteogenesis is analyzed. In silico model is also developed to test the osteogenic potential of strain gradients. The model closely predicts in vivo new bone distribution as a function of strain gradients. The outcome establishes strain gradient as computationally easy and robust stimuli to predict site-specific osteogenesis. The present study may be useful in the development of biomechanical approaches to mitigate bone loss.

show abstract

Section: Discussionmentioning

confidence: 99%

Modeling cortical bone adaptation using strain gradients

Tiwari

Goyal

Prasad

2021

Proc Inst Mech Eng H

View full text Add to dashboard Cite

show abstract

“…One year after the end of the workshop, these research lines have already produced several original papers [79][80][81][82][83]. The workshop has allowed the identification of crucial problems, has connected people from different frameworks but sensitive to the same class of problems, and has built collaborations between the participants able to produce original and interesting scientific papers on the topics discussed during the conference.…”

Section: Discussionmentioning

confidence: 99%

Workshop on Encounter of the third kind on Generalized continua and microstructures in Arpino, 3–7 April 2018: A review of presentations and discussions

Laudato

Angelo

2019

Mathematics and Mechanics of Solids

View full text Add to dashboard Cite

The present article is a rational report of the workshop Encounter of the third kind on Generalized continua and microstructures (Arpino, 3–7 April 2018). The main goal of the workshop was to gather together experts in the framework of generalized continuum theories and microstructured materials to discuss and analyse the recent advancements in the field. The interested reader will find in this article a general discussion of the motivations and of the main topics discussed during the workshop as well as a detailed report of the talks and the relative bibliography. All the talks have been recorded and it is possible to watch them on the M&MOCS YouTube channel at https://www.youtube.com/playlist?list=PLWzlK5oO41smkt5HtiDQJV7nsbz5wnD01

show abstract

“…Detail considerations about the mathematical simulation of bone remodelling are given elsewhere [30], and an alternative version was given in [22,23,27], but a summary formulation is reported in the following.…”

Section: Methodsmentioning

confidence: 99%

Finite memory model of bone healing in analysis of moving interface between mandible tissue and bone substitute material after tooth implant application

Hernandez-Rodriguez

Lekszycki

2021

Continuum Mech. Thermodyn.

Self Cite

View full text Add to dashboard Cite

A previous bone remodelling model was presented elsewhere [30], and in the present paper, the same model was tested with new conditions; an interaction between bone tissue, bone substitute material and a dental implant was considered. The bone substitute material was assumed to be dead tissue, which does not synthesizes neither absorbs bone tissue, and it was considered, as well, resolvable. A moving border between the bone substitute material and the bone tissue was studied. The border moved as the newly synthesised bone tissue took over the bone substitute material. After the numerical calculations of time-steps, the whole bone substitute material was replaced by normal bone tissue and the implant was fixed in place only by bone tissue. Dynamical studies of the interaction of bone tissue and implant are used to improved implant design considering different factors, in this case, the presence of bone substitute material helping to fix the implant.

show abstract

On mechanically driven biological stimulus for bone remodeling as a diffusive phenomenon

Cited by 79 publications

References 122 publications

Modeling cortical bone adaptation using strain gradients

Modeling cortical bone adaptation using strain gradients

Workshop on Encounter of the third kind on Generalized continua and microstructures in Arpino, 3–7 April 2018: A review of presentations and discussions

Finite memory model of bone healing in analysis of moving interface between mandible tissue and bone substitute material after tooth implant application

Contact Info

Product

Resources

About