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Title: Theoretical concept of cortical to cancellous bone transformation
Authors: Kameo, Yoshitaka  KAKEN_id
Sakano, Nobuaki
Adachi, Taiji  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5280-4156 (unconfirmed)
Author's alias: 亀尾, 佳貴
安達, 泰治
Keywords: Cortical bone
Cancellous bone
Cortical-to-cancellous bone transformation
Remodeling simulation
Mathematical model
Issue Date: Jun-2020
Publisher: Elsevier BV
Journal title: Bone Reports
Volume: 12
Thesis number: 100260
Abstract: Microstructures of cortical and cancellous bones are altered continually by load-adaptive remodeling; in addition, their cellular mechanisms are similar despite the remarkably different porosities. The cortico-cancellous transitional zone is a site of vigorous remodeling, and intracortical remodeling cavitates the inner cortex to promote its trabecularization, which is considered the main cause of bone loss because of aging. Therefore, to prevent and treat age-related cortical bone loss effectively, it is indispensable to gain an integrated understanding of the cortical to the cancellous bone transformation via remodeling. We propose a novel theoretical concept to account for the transformation of dense cortical bone to porous cancellous bone. We develop a mathematical model of cortical and cancellous bone remodeling based on the concept that bone porosity is determined by the balance between the load-bearing function of mineralized bone and the material-transporting function of bone marrow. Remodeling simulations using this mathematical model enable the reproduction of the microstructures of cortical and cancellous bones simultaneously. Furthermore, current remodeling simulations have the potential to replicate cortical-to-cancellous bone transformation based on changes in the local balance between bone formation and resorption. We anticipate that the proposed mathematical model of cortical and cancellous bone remodeling will contribute to highlighting the essential features of cortical bone loss due to trabecularization of the cortex and help predict its spatial and temporal behavior during aging.
Rights: © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/)
URI: http://hdl.handle.net/2433/261031
DOI(Published Version): 10.1016/j.bonr.2020.100260
PubMed ID: 32551336
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