An Updated Decision Tree for Vertical Bone Augmentation.

Area of Science:

• Oral and Maxillofacial Surgery
• Periodontology
• Dental Implantology

Background:

• Vertical bone augmentation (VBA) is crucial for dental implant placement in patients with vertical ridge deficiencies.
• Existing systematic reviews and meta-analyses have not identified universally superior VBA techniques.
• VBA procedures present significant biological and technical challenges for clinicians.

Purpose of the Study:

• To develop a decision tree to guide clinicians in selecting appropriate vertical bone augmentation techniques.
• To aid in the treatment of vertical alveolar ridge deficiencies for optimal dental implant outcomes.
• To provide a framework for choosing VBA methods based on predictable vertical bone gain.

Main Methods:

• Development of a clinical decision tree based on reported vertical bone gains (< 5 mm, 5 to 8 mm, > 8 mm).
• Consideration of defect size, morphology, location, and clinician/patient preferences in treatment selection.
• Review of existing literature on vertical bone augmentation techniques and their outcomes.

Main Results:

• The decision tree categorizes treatment options according to the degree of vertical bone gain achievable.
• It emphasizes that the selection of a specific augmentation technique is multifactorial.
• No single VBA technique has been identified as superior across all clinical scenarios.

Conclusions:

• Clinicians should utilize the decision tree to navigate treatment choices for vertical bone augmentation.
• The optimal VBA approach depends on a comprehensive evaluation of the defect and patient-specific factors.
• Selection should prioritize techniques with low complication rates, cost-effectiveness, and high success probability.