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Updated: Jun 24, 2026

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Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
Published on: February 23, 2024
Correlation between bone quality evaluated by cone-beam computerized tomography and implant primary stability
Young-Dai Song1, Sang-Ho Jun, Jong-Jin Kwon
1Department of Oral and Maxillofacial Implantology, Graduate School of Clinical Dentistry, Korea University, Seoul, South Korea.
Summary
Cone-beam computerized tomography (CBCT) effectively assesses bone quality for dental implants. This evaluation correlates strongly with initial implant stability, measured by resonance frequency analysis (RFA).
Area of Science:
- Dental Implantology
- Radiology
- Biomaterials Science
Background:
- Assessing bone quality is crucial for successful dental implant placement.
- Initial implant stability is a key predictor of long-term implant survival.
- Cone-beam computerized tomography (CBCT) offers detailed 3D imaging of bone structure.
Purpose of the Study:
- To investigate the correlation between bone quality, assessed via CBCT, and primary dental implant stability.
- To determine if CBCT-derived bone parameters can predict implant stability.
- To evaluate the efficacy of CBCT in assessing bone for implant procedures.
Main Methods:
- A preliminary clinical study involving 20 patients and 61 dental implants.
- CBCT scans were performed after initial drilling to assess bone quality.
- Implant stability was measured using resonance frequency analysis (RFA) and expressed as implant stability quotients (ISQs).
- CT numbers and compact bone thickness were measured at multiple surfaces around each implant.
- Pearson correlation coefficient was used to analyze the relationship between bone parameters and ISQs.
Main Results:
- A strong positive correlation was found between CT numbers (bone density) and ISQs (P < .025).
- A significant correlation was also observed between compact bone thickness and ISQs (P < .025).
- These findings indicate that CBCT-derived bone characteristics are reliable indicators of primary implant stability.
Conclusions:
- CBCT is an effective tool for evaluating bone quality relevant to dental implantology.
- CBCT parameters can be utilized to predict the initial stability of dental implants.
- This imaging modality aids in optimizing treatment planning and improving implant success rates.

