Quantitative assessment of the jawbone quality classification: A meta-analysis study

Area of Science:

• Dentistry
• Oral and Maxillofacial Surgery
• Biomedical Engineering

Background:

• Bone quality assessment is crucial for dental implant success.
• Current qualitative methods based on bone density have limitations.
• Modern implantology requires more quantitative bone quality evaluation.

Purpose of the Study:

• To develop a quantitative bone classification system for implantology.
• To analyze alveolar ridge dimensions and parameters.
• To correlate quantitative bone classification with existing qualitative methods.

Main Methods:

• Systematic literature search of PubMed and EMBASE databases.
• Meta-analysis of 30 clinical and radiographic studies.
• Geometry-based analysis of alveolar ridge dimensions using CBCT data.

Main Results:

• A typical alveolar ridge portrait was constructed from meta-analysis data.
• A novel, geometry-based quantitative bone classification was proposed.
• The proposed quantitative classification aligned with existing qualitative classifications.

Conclusions:

• A geometry-based analysis offers valuable insights into bone type and state.
• The developed quantitative classification system enhances bone quality assessment for implantology.
• This approach provides a more precise understanding of bone characteristics in dentate and edentulous jaws.