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Simulated bone for dental implant in vitro testing: A systematic review
Ulysses Lenz1, Pedro Henrique Wenz Tretto2, Jason Alan Griggs3
1Postgraduate Program in Dentistry, School of Dentistry, University of Passo Fundo, Passo Fundo, RS, Brazil.
Journal of Dentistry
|January 17, 2026
Summary
Simulated bone in dental implant testing affects failure patterns. Methodological factors like bone loss simulation and loading angle need updating in standards to better match clinical data.
Area of Science:
- Biomaterials Science
- Dental Implantology
- Mechanical Engineering
Background:
- Laboratory testing of dental implants relies on simulated bone, but methodological variations may impact results.
- Clinical failure patterns of dental implants are complex and may not be fully replicated in current in-vitro models.
Purpose of the Study:
- To evaluate methodological factors in simulated bone fabrication for dental implant testing.
- To assess the relationship between these factors and reported clinical failure patterns.
Main Methods:
- A systematic literature search (PRISMA) identified in-vitro studies (2015 onwards) on mechanical testing of single-unit implants with simulated bone.
- Data on bone material characteristics, bone loss simulation, loading angulation, and implant connection type were extracted and analyzed.
- RoBDEMAT appraisal was used to assess study quality.
Main Results:
- Ninety-one studies were included, predominantly using single-layer resin bone analogs.
- Commonly simulated bone loss was 3 mm, and loading was applied at 30°.
- Frequent failure modes included screw loosening, screw fracture, abutment fracture, crown/veneer fracture, and implant fracture.
- Off-axis loading with crestal bone loss shifted failures towards implant fractures.
Conclusions:
- Laboratory-observed failure modes partially correlate with clinical observations.
- Simulated bone loss, stiffness, and loading angle significantly influence failure patterns in dental implant testing.
- Current standards (e.g., ISO 14801) require updates to better reflect clinical data and improve the relevance of in-vitro studies.

