Literature DB >> 26507933

Monitoring Healing Progression and Characterizing the Mechanical Environment in Preclinical Models for Bone Tissue Engineering.

Stephanie Fountain1, Markus Windolf1,2, Jan Henkel1, Aramesh Tavakoli1, Michael A Schuetz1,3, Dietmar W Hutmacher1, Devakara R Epari1.   

Abstract

The treatment of large segmental bone defects remains a significant clinical challenge. Due to limitations surrounding the use of bone grafts, tissue-engineered constructs for the repair of large bone defects could offer an alternative. Before translation of any newly developed tissue engineering (TE) approach to the clinic, efficacy of the treatment must be shown in a validated preclinical large animal model. Currently, biomechanical testing, histology, and microcomputed tomography are performed to assess the quality and quantity of the regenerated bone. However, in vivo monitoring of the progression of healing is seldom performed, which could reveal important information regarding time to restoration of mechanical function and acceleration of regeneration. Furthermore, since the mechanical environment is known to influence bone regeneration, and limb loading of the animals can poorly be controlled, characterizing activity and load history could provide the ability to explain variability in the acquired data sets and potentially outliers based on abnormal loading. Many approaches have been devised to monitor the progression of healing and characterize the mechanical environment in fracture healing studies. In this article, we review previous methods and share results of recent work of our group toward developing and implementing a comprehensive biomechanical monitoring system to study bone regeneration in preclinical TE studies.

Entities:  

Year:  2015        PMID: 26507933     DOI: 10.1089/ten.TEB.2015.0123

Source DB:  PubMed          Journal:  Tissue Eng Part B Rev        ISSN: 1937-3368            Impact factor:   6.389


  7 in total

1.  Image Analysis Software as a Strategy to Improve the Radiographic Determination of Fracture Healing.

Authors:  Jeffrey Duryea; Christopher Evans; Vaida Glatt
Journal:  J Orthop Trauma       Date:  2018-09       Impact factor: 2.512

2.  A preclinical large-animal model for the assessment of critical-size load-bearing bone defect reconstruction.

Authors:  David S Sparks; Siamak Saifzadeh; Flavia Medeiros Savi; Constantin E Dlaska; Arne Berner; Jan Henkel; Johannes C Reichert; Martin Wullschleger; Jiongyu Ren; Amaia Cipitria; Jacqui A McGovern; Roland Steck; Michael Wagels; Maria Ann Woodruff; Michael A Schuetz; Dietmar W Hutmacher
Journal:  Nat Protoc       Date:  2020-02-14       Impact factor: 13.491

3.  A three-dimensional hydroxyapatite/polyacrylonitrile composite scaffold designed for bone tissue engineering.

Authors:  Shuyi Wu; Jieda Wang; Leiyan Zou; Lin Jin; Zhenling Wang; Yan Li
Journal:  RSC Adv       Date:  2018-01-08       Impact factor: 4.036

Review 4.  Pre-Clinical Evaluation of Biological Bone Substitute Materials for Application in Highly Loaded Skeletal Sites.

Authors:  Sónia de Lacerda Schickert; Jeroen J J P van den Beucken; Sander C G Leeuwenburgh; John A Jansen
Journal:  Biomolecules       Date:  2020-06-09

5.  Programable Active Fixator System for Systematic In Vivo Investigation of Bone Healing Processes.

Authors:  Jan Barcik; Manuela Ernst; Constantin E Dlaska; Ludmil Drenchev; Stephan Zeiter; Devakara R Epari; Markus Windolf
Journal:  Sensors (Basel)       Date:  2020-12-22       Impact factor: 3.576

6.  Continuous Implant Load Monitoring to Assess Bone Healing Status-Evidence from Animal Testing.

Authors:  Markus Windolf; Viktor Varjas; Dominic Gehweiler; Ronald Schwyn; Daniel Arens; Caroline Constant; Stephan Zeiter; Robert Geoff Richards; Manuela Ernst
Journal:  Medicina (Kaunas)       Date:  2022-06-27       Impact factor: 2.948

7.  Risk factors of transport gap bending deformity in the treatment of critical-size bone defect after bone transport.

Authors:  Abulaiti Abula; Erlin Cheng; Alimujiang Abulaiti; Kai Liu; Yanshi Liu; Peng Ren
Journal:  BMC Musculoskelet Disord       Date:  2022-10-08       Impact factor: 2.562

  7 in total

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