Literature DB >> 15340800

Long-term prediction of three-dimensional bone architecture in simulations of pre-, peri- and post-menopausal microstructural bone remodeling.

Ralph Müller1.   

Abstract

The mechanical behavior of trabecular bone depends on the internal bone structure. It is generally accepted now that the trabecular bone structure is a result of a load adaptive bone remodeling. The mathematical laws that relate bone remodeling to the local state of stress and strain, however, are still under investigation. The aim of this project was to investigate if changes in the trabecular architecture as observed with age-related bone loss and osteoporosis can be predicted from a computer model that simulates bone resorption after hormone depletion based on realistic models of trabecular microstructure using micro-computed tomography (muCT). A compact desktop muCT providing a nominal isotropic resolution of 14 mum was used to measure two groups of seven trabecular bone specimens from pre-menopausal and post-menopausal women respectively. A novel algorithm was developed to simulate age-related bone loss for the specimens in the first group. The algorithm, also referred to as simulated bone atrophy (SIBA), describes a truly three-dimensional approach and is based directly on cellular bone remodeling with an underlying realistic time frame. Bone resorption is controlled by osteoclastic penetration depth and bone formation is governed by the efficiency level of the osteoblasts. The simulation itself describes an iterative process with a cellular remodeling cycle of 197 days. Activation frequency is controllable and can be adjusted for the different phases of pre-, peri- and post-menopause. For our simulations, osteoblastic and osteoclastic activities were in balance until the onset of menopause, set to be at the age of 50 years. In that period, the structure remained almost constant. After the onset of menopause an imbalance in the cell activities was modeled resulting in a net bone loss. The doubling of the activation frequency in the peri-menopausal phase caused a pronounced loss. Using advanced animation tools and quantitative bone morphometry, the changes in bone architecture associated with the bone loss were monitored over an average observation time of 43 years until the age of 80 years. In that time, bone volume density decreased monotonously with the progression of the simulation for all specimens. Right after the onset of menopause, bone was lost fast, where with the progression of age losses slowed down. The structures at the end-point of the simulations were then compared qualitatively and quantitatively to the structures of the post-menopausal group with all morphometric indices being within a narrow margin of error. These results suggest the feasibility of transforming "normal" to "osteopenic" bone on a microstructural level yielding in realistic bone models similar in appearance as well as in structural behavior if compared to a post-menopausal group of women.

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Year:  2004        PMID: 15340800     DOI: 10.1007/s00198-004-1701-7

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  39 in total

1.  Effects of mechanical forces on maintenance and adaptation of form in trabecular bone.

Authors:  R Huiskes; R Ruimerman; G H van Lenthe; J D Janssen
Journal:  Nature       Date:  2000-06-08       Impact factor: 49.962

Review 2.  The Zürich experience: one decade of three-dimensional high-resolution computed tomography.

Authors:  Ralph Müller
Journal:  Top Magn Reson Imaging       Date:  2002-10

3.  Trabecular bone remodeling around smooth and porous implants in an equine patellar model.

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Journal:  J Biomech       Date:  1987       Impact factor: 2.712

4.  A unifying principle relating stress to trabecular bone morphology.

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Journal:  J Orthop Res       Date:  1986       Impact factor: 3.494

5.  A new method to determine trabecular bone elastic properties and loading using micromechanical finite-element models.

Authors:  B van Rietbergen; H Weinans; R Huiskes; A Odgaard
Journal:  J Biomech       Date:  1995-01       Impact factor: 2.712

6.  Non-invasive bone biopsy: a new method to analyse and display the three-dimensional structure of trabecular bone.

Authors:  R Müller; T Hildebrand; P Rüegsegger
Journal:  Phys Med Biol       Date:  1994-01       Impact factor: 3.609

7.  In vivo, three-dimensional microscopy of trabecular bone.

Authors:  J H Kinney; N E Lane; D L Haupt
Journal:  J Bone Miner Res       Date:  1995-02       Impact factor: 6.741

Review 8.  Assessment of quality of bone in osteoporosis--BIOMED I: fundamental study of relevant bone.

Authors:  J Dequeker
Journal:  Clin Rheumatol       Date:  1994-12       Impact factor: 2.980

9.  Age- and sex-related changes in iliac cortical bone mass and remodeling.

Authors:  H Brockstedt; M Kassem; E F Eriksen; L Mosekilde; F Melsen
Journal:  Bone       Date:  1993 Jul-Aug       Impact factor: 4.398

10.  Trabecular bone resorption depth decreases with age: differences between normal males and females.

Authors:  E F Eriksen; L Mosekilde; F Melsen
Journal:  Bone       Date:  1985       Impact factor: 4.398

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  15 in total

1.  Age-related changes in trabecular bone microstructures: global and local morphometry.

Authors:  M Stauber; R Müller
Journal:  Osteoporos Int       Date:  2005-12-31       Impact factor: 4.507

2.  Anticipating bipedalism: trabecular organization in the newborn ilium.

Authors:  Craig A Cunningham; Sue M Black
Journal:  J Anat       Date:  2009-06       Impact factor: 2.610

3.  Dynamic simulation of three dimensional architectural and mechanical alterations in human trabecular bone during menopause.

Authors:  X Sherry Liu; Angela H Huang; X Henry Zhang; Paul Sajda; Baohua Ji; X Edward Guo
Journal:  Bone       Date:  2008-04-29       Impact factor: 4.398

4.  Potential of in vivo MRI-based nonlinear finite-element analysis for the assessment of trabecular bone post-yield properties.

Authors:  Ning Zhang; Jeremy F Magland; Chamith S Rajapakse; Yusuf A Bhagat; Felix W Wehrli
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

Review 5.  From histology to micro-CT: Measuring and modeling resorption cavities and their relation to bone competence.

Authors:  Jef Vanderoost; G Harry van Lenthe
Journal:  World J Radiol       Date:  2014-09-28

6.  Implications of resolution and noise for in vivo micro-MRI of trabecular bone.

Authors:  Charles Q Li; Jeremy F Magland; Chamith S Rajapakse; X Edward Guo; X Henry Zhang; Branimir Vasilic; Felix W Wehrli
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

7.  New suggestions for the mechanical control of bone remodeling.

Authors:  J W C Dunlop; M A Hartmann; Y J Bréchet; P Fratzl; R Weinkamer
Journal:  Calcif Tissue Int       Date:  2009-04-17       Impact factor: 4.333

8.  Voxel size dependency, reproducibility and sensitivity of an in vivo bone loading estimation algorithm.

Authors:  Patrik Christen; Friederike A Schulte; Alexander Zwahlen; Bert van Rietbergen; Stephanie Boutroy; L Joseph Melton; Shreyasee Amin; Sundeep Khosla; Jörg Goldhahn; Ralph Müller
Journal:  J R Soc Interface       Date:  2016-01       Impact factor: 4.118

Review 9.  Bone physiology, disease and treatment: towards disease system analysis in osteoporosis.

Authors:  Teun M Post; Serge C L M Cremers; Thomas Kerbusch; Meindert Danhof
Journal:  Clin Pharmacokinet       Date:  2010       Impact factor: 6.447

10.  Computationally-optimized bone mechanical modeling from high-resolution structural images.

Authors:  Jeremy F Magland; Ning Zhang; Chamith S Rajapakse; Felix W Wehrli
Journal:  PLoS One       Date:  2012-04-25       Impact factor: 3.240

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