A Predictive Bioengineering Model of Dental Implant Instability in Systemic Bone Disorders: A Periotest-Based...

Area of Science:

• Biomaterials Science
• Biomechanics
• Dental Implantology

Background:

• Dental implant instability is a dynamic process affected by bone stiffness and systemic health.
• Systemic bone disorders can compromise implant-bone interface stiffness, leading to undetected micromotion.
• Conventional clinical indicators may not detect instability in systemically compromised patients.

Purpose of the Study:

• To develop and validate a predictive bioengineering model for dental implant instability.
• To correlate dynamic Periotest measurements with systemic bone status and biomechanical instability.
• To provide a quantitative risk assessment framework for implant stability.

Main Methods:

• Retrospective analysis of 79 dental implants in patients with and without systemic bone disorders.
• Quantification of implant micromotion using Periotest values (PTVs).
• Application of linear and logistic regression, and a load-stiffness-micromotion framework.

Main Results:

• Implants in patients with systemic bone disorders showed significantly higher PTVs (+2.1 vs. -0.4).
• High-risk instability (PTV > +2.0) was found in 46% of the systemic group versus 9% of controls.
• Systemic bone disorders independently increased the odds of high-risk instability by 2.6-fold.

Conclusions:

• Dental implant instability in compromised patients stems from a load-stiffness imbalance.
• The predictive bioengineering model integrates dynamic PTVs, mechanical principles, and systemic status.
• This framework enables quantitative risk stratification beyond static stability assessments.