ArticleInternational journal of molecular sciences2020
Healing Pattern Analysis for Dental Implants Using the Mechano-Regulatory Tissue Differentiation Model.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- Analysis of osseointegration of implants with macrogeometries with healing chambers: a randomized clinical trial.BMC oral health · 2024Trial
- In Silico possibilities to understand peri-implant bone healing- state of the Art.International journal of implant dentistry · 2025Review
- Biomechanics of Osseointegration of a Dental Implant in the Mandible Under Shock Wave Therapy: In Silico Study.Materials (Basel, Switzerland) · 2024Article
- Prediction of Bone Healing around Dental Implants in Various Boundary Conditions by Deep Learning Network.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
(1) Background: Our aim is to reveal the influence of the geometry designs on biophysical stimuli and healing patterns. The design guidelines for dental implants can then be provided. (2) Methods: A two-dimensional axisymmetric finite element model was developed based on mechano-regulatory algorithm. The history of tissue differentiation around eight selected implants can be predicted. The performance of the implants was evaluated by bone area (BA), bone-implant contact (BIC); (3) Results: The predicted healing patterns have very good agreement with the experimental observation. Many features observed in literature, such as soft tissues covering on the bone-implant interface; crestal bone loss; the location of bone resorption bumps, were reproduced by the model and explained by analyzing the solid and fluid biophysical stimuli and (4) Conclusions: The results suggested the suitable depth, the steeper slope of the upper flanks, and flat roots of healing chambers can improve the bone ingrowth and osseointegration. The mechanism related to solid and fluid biophysical stimuli were revealed. In addition, the model developed here is efficient, accurate and ready to extend to any geometry of dental implants. It has potential to be used as a clinical application for instant prediction/evaluation of the performance of dental implants.
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Registered trials
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