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Mandibular Bone Structure Analysis Using Cone Beam Computed Tomography vs Primary Implant Stability: An Ex Vivo
The International Journal of Oral & Maxillofacial Implants
|November 16, 2017
Summary
Mandibular bone structure parameters from cone beam computed tomography (CBCT) scans correlate with primary dental implant stability. Specific regions and parameters like trabecular thickness offer complementary insights into local bone quality for predicting implant success.
Area of Science:
- Dental Implantology
- Oral and Maxillofacial Radiology
- Biomaterials Science
Background:
- Primary dental implant stability is crucial for successful osseointegration.
- Pre-surgical assessment of mandibular bone quality is essential for predictable implant placement.
- Cone beam computed tomography (CBCT) offers detailed 3D imaging of bone structure.
Purpose of the Study:
- To investigate the correlation between mandibular bone structure parameters derived from CBCT images and primary implant stability.
- To determine which specific bone parameters and regions are most predictive of implant stability.
Main Methods:
- Twenty-one hemimandibles underwent CBCT scanning.
- Dental implants were placed, and insertion torque and implant stability quotient (ISQ) were measured.
- CBCT scans were analyzed for bone surface, volume, fractal dimension, connectivity, trabecular thickness/spacing, skeleton analysis, and cortical thickness.
Main Results:
- Overall correlations between bone parameters and ISQ were low to medium (|R|=0.002-0.723).
- Skeleton analysis and trabecular thickness showed the highest correlation with ISQ in the coronal region.
- Trabecular thickness and fractal dimension demonstrated the most significant correlations with primary implant stability.
Conclusions:
- Mandibular bone structure parameters from CBCT can predict primary implant stability.
- Specific regional analysis (e.g., coronal, apical) and parameters (e.g., trabecular thickness, fractal dimension) provide complementary information on local bone quality.
- These findings aid in optimizing pre-surgical planning for dental implants.

