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Multiscale approach in bone remodeling process

Citation for published version (APA):

Colloca, M., Rietbergen, van, B., & Ito, K. (2011). Multiscale approach in bone remodeling process. Poster session presented at Mate Poster Award 2011 : 16th Annual Poster Contest.

Document status and date: Published: 01/01/2011

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Accepted manuscript including changes made at the peer-review stage

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Methods

The rate of change of bone volume fraction in a RVE (Figure 2), modulated by mechanobiological and geometric feedback, can be expressed by:

Eq.(1)

where τ is the bone formation time constant [mm3/(nmol/s)day], µ is the osteocyte mechanosensitivity [(nmol/s)/(MPa/s)mm2], α(=0.8) and γ(=3) are coefficients,

MS is the strain energy density rate [MPa/s], focl is the osteoclast recruitment frequency [1/day] and Vres is the linear resorption per cavity [mm]. A previously developed bone remodeling algorithm based on mechanotransduction [1,2] was used to compare analytical and numerical results.

/ Department of Biomedical Engineering

Orthopaedic Biomechanics

The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n°269909

Results

The closed-form solution of Eq. (1) is represented by :

The evolution of bone volume fraction is plotted in Figure 3A,B for two different initial conditions. Theoretical predictions and numerical results show close matching. It follows that the presented analytical model is suitable for guiding the computer simulations of bone microstructures in different loading and metabolic conditions (Figure 3C,D).

Figure 1. Activation of osteoblast-osteoclast activities under mechanical stimulus [2].

Figure 2. RVE of bone. The voids (A) or the trabeculae (B) are cylindrical, of average radius R and of average length l.

A

B

Discussion

In this study the bone remodeling was modeled as a dynamic process which was driven by mechanical loading and cellular activities. The analytical model allows for investigating the interaction between metabolic and mechanical factors and for studying the effects of nutritional, hormonal and pharmacological therapies in different diseases.

[1] Huiskes R. et al. (2000). Effects of mechanical forces on maintenance and adaptation of form in trabecular bone, Nature, 405:704-706.

[2] Ruimerman et al. (2005). A theoretical framework for strain-related trabecular bone maintenance and adaptation, Journal of Biomechanics, 38:931-941.

[3] Carter DR and Beaupre’ GS (2001). Skeletal function and form. Cambridge University Press.

[4] Martin RB, (1984). Porosity and specific surface of bone. CRC Crit. Rev. biomed.Eng. 10: 179-222.

B

A

( )

BF f V R BF MS dt BF d res ocl ⋅ ⋅ ⋅         ⋅ −       ⋅ = + 2 ) ( 1 α µ τ γ Bone Apposition Rate (BAR) [mm/day] Specific Surface [1/mm] Bone Resorption Rate (BRR) [mm/day] ( ) ( ) ( ) ( )

[

]

( )14 4 1 4 8 0 res ocl res ocl t R V f V f MS BF V f e MS t BF res ocl ⋅       ⋅ ⋅ − ⋅ ⋅ + ⋅ ⋅ = ⋅ ⋅ − τ µ τ µ α 0 0.2 0.4 0.6 0.8 1 0 200 400 600 800 1000 BV /T V Time (days) Numerical Solution Analytical Solution 0 0.2 0.4 0.6 0.8 1 0 200 400 600 800 1000 BV /T V Time (days) Numerical Solution Analytical Solution Homeostasis Microdamage triggers Osteoclasts Osteocytes recruit Osteoblasts Homeostasis

D

C

Multiscale Approach in

Bone Remodeling Process

Michele Colloca, Bert van Rietbergen and Keita Ito

Figure 3. Evolution of bone volume fraction with (A) BV/TV0 = 0.75 and (B) BV/TV0 = 0.13 initial conditions. Final trabecular architecture of the RVE after reaching the equilibrium and assuming (C) a value of BV/TV equal to 0.13 and (D) equal to 0.32, respectively.

Background

Bone remodeling takes place at the cellular scale where osteoclast cells remove bone tissue and osteoblast cells deposit new bone tissue. It is hypothesized that this process is regulated by osteocyte cells based on local conditions [1-3] and specific surface [4] (Figure 1).

A multiscale approach is needed to describe the effects of bone remodeling at higher scales (e.g. organ level). Therefore, the aim of this study is to develop an analytical model for bone adaptation which includes different spatial and temporal scales in order to predict the evolution of bone volume fraction.

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