Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
The healing process consists of at least three phases: inflammatory, repair, and remodeling phase. Because callus stiffness correlates with the healing phases, it is suitable for evaluating the fracture healing process. Our aim was to develop a method which allows determination of callus stiffness in vivo, the healing time and the duration of the repair phase. The right femurs of 16 Wistar rats were osteotomized and stabilized with either more rigid or more flexible external fixation. Fixator deformation was measured using strain gauges during gait analysis. The strains were recalculated as the callus stiffness over the time course of healing, and the healing phases were identified based on stiffness thresholds. Our hypothesis was that stabilization with more flexible external fixation prolongs the repair phase, therefore resulting in an extended healing time. Confirming our hypothesis, the duration of the repair phase (rigid: approximately 15 days, flexible: approximately 41 days) and the healing time (rigid: approximately 27 days, flexible: approximately 62 days) were significantly longer for more flexible external fixation. Our method allows the quantitative detection of differences in the healing time and duration of the repair phase without multiple time-point sacrifices, which reduces the number of animals in experimental studies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/jor.22721 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
AI-Assisted Design and Evaluation of SLM-Ti64 Implants for Enhanced Bone Regeneration.
Adv Healthc Mater
September 2025
Smart Materials, NanoSYD, Mads Clausen Institute, University of Southern Denmark, Alsion 2, Sønderborg, DK-6400, Denmark.
This study presents a comprehensive framework combining Selective Laser Melting (SLM) of Titanium (Ti64) alloys, finite element simulation, and artificial intelligence (AI) to advance orthopedic implants' design and predictive evaluation. Dense Ti64 specimens are fabricated using ten distinct SLM parameter sets to explore the effects of volumetric energy density (VED) on mechanical behavior, porosity distribution, and microstructural integrity. Optimal VED ranges are identified to balance defect minimization and mechanical performance, with porosity levels strongly influencing tensile strength and Young's modulus.
View Article and Find Full Text PDFMinimal invasive open tibial fracture model in mice.
Int Orthop
August 2025
Department for Trauma, Hand, Plastic and Reconstructive Surgery, University Hospital, Würzburg, Germany.
Purpose: Fracture models in animals are essential to analyze bone healing in musculoskeletal research fields. Especially in small animals, fractures are difficult to simulate and stabilize. Therefore, a fracture model is desirable with a short operation time, high safety of the model without stabilization failure and low costs.
View Article and Find Full Text PDFFinite element analysis of anterior spanning attachment devices for supporting biomechanical stability in diaphyseal femoral periprosthetic fracture fixation.
Sci Rep
July 2025
Department of Trauma and Reconstructive Surgery, BG Hospital Bergmannstrost Halle gGmbH, Merseburger Strasse 165, 06112, Halle (Saale), Germany.
The incidence of periprosthetic femoral fractures has increased in recent years. Osteosynthetic stabilisation is challenging, particularly for UCS IV.3-C fractures.
View Article and Find Full Text PDFMechanobiology-guided machine learning models for predicting long bone fracture healing across diverse scenarios.
Comput Biol Med
September 2025
Musculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Mechanical Engineering, Boston University, Boston, MA, USA; Department of Orthopaedic Surgery, Yerevan State Medical University, Yerevan, Armenia. Electro
Background: Fracture healing is a complex, time-dependent process governed by biological and mechanical factors, including implant properties. While finite element (FE) modeling provides detailed mechanobiological insights into this process, its computational cost remains a major limitation for widespread clinical or research use. In this study, we developed and validated a machine learning (ML) framework as a rapid alternative for a previously validated 21-day mechanoregulation-based FE model of femoral fracture healing in rodents.
View Article and Find Full Text PDFFunctional and Radiological Outcomes of Allograft Application in Distal Femur Fractures: A Retrospective Study.
Cureus
April 2025
Department of Orthopedics, Sri Devaraj Urs Medical College (SDUMC), Kolar, IND.
Background Distal femur fractures are complex injuries requiring surgical intervention, particularly in cases involving bone loss, comminution, or osteoporosis. While autografts remain the preferred option for bone grafting due to their osteogenic, osteoinductive, and osteoconductive properties, their use is often restricted due to donor-site morbidity, limited availability, and increased surgical time. Allografts provide an alternative, offering structural support without additional surgical site morbidity.
View Article and Find Full Text PDF