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Related Concept Videos

Bone Structure01:55

Bone Structure

Within the skeletal system, the structure of a bone, or osseous tissue, can be exemplified in a long bone, like the femur, where there are two types of osseous tissue: cortical and cancellous.
Bone Remodeling01:40

Bone Remodeling

Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.

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Related Experiment Video

Updated: May 17, 2026

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

Simulating the trabecular bone structure around dental implants: a case presentation.

Istabrak Hasan1, Friedhelm Heinemann, Ludger Keilig

  • 1Endowed Chair of Oral Technology, Rheinische Friedrich-Wilhelms University, Bonn, Germany. ihasan@uni-bonn.de

Biomedizinische Technik. Biomedical Engineering
|October 24, 2012
PubMed
Summary
This summary is machine-generated.

Bone remodeling significantly impacts long-term dental implant success. This study simulated bone density changes around implants using CT scans, showing simulated results matched real-world bone structures.

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Last Updated: May 17, 2026

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
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Intravital Longitudinal Imaging of Vascular Dynamics in the Calvarial Bone Marrow

Published on: April 11, 2025

Area of Science:

  • Biomaterials Science
  • Dental Implantology
  • Computational Biology

Background:

  • Long-term dental implant success is influenced by bone remodeling dynamics.
  • Accurate simulation of bone remodeling is crucial for predicting implant outcomes.
  • Previous simulation schemes require validation with clinical data.

Purpose of the Study:

  • To apply a validated bone remodeling simulation scheme to a patient-specific finite element model.
  • To investigate the time-dependent density changes in trabecular bone around a dental implant.
  • To compare simulation results with actual clinical imaging data.

Main Methods:

  • Utilized a previously developed bone remodeling simulation scheme.
  • Developed a finite element model based on computed tomography (CT) data.
  • Analyzed CT data from a dental implant 6 years post-insertion in the upper right central incisor region.
  • Studied time-dependent density variations in trabecular bone post-osseointegration.

Main Results:

  • The simulation accurately predicted time-dependent bone density changes around the implant.
  • Simulated trabecular bone density distributions closely matched regions observed in the 6-year post-insertion CT scans.
  • The model demonstrated the capacity to replicate in vivo bone remodeling patterns.

Conclusions:

  • The validated remodeling simulation scheme is effective for predicting long-term bone changes around dental implants.
  • CT-based finite element models coupled with remodeling simulations offer valuable insights for implant design and presurgical planning.
  • This approach enhances the understanding of osseointegration and bone adaptation processes.