Relationship of implant stability and bone density derived from computerized tomography images
Autor: | Marc Quirynen, Wim Coucke, Joe Merheb, Marjolein Vercruyssen |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
RFA
Bone density implant MAXILLA 02 engineering and technology 0302 clinical medicine Bone Density density VALUES Dental Implantation Endosseous INTERFACE resonance 030220 oncology & carcinogenesis PLACEMENT Printing Three-Dimensional Tomography Oral Surgery Life Sciences & Biomedicine INTEGRATION CT Dental Stress Analysis Materials science 0206 medical engineering Stability (probability) Osseointegration Dental Prosthesis Retention 03 medical and health sciences Osstell Hounsfield scale Dentistry Oral Surgery & Medicine SKELETAL Alveolar Process Cortical Bone Humans ISQ General Dentistry MICROMOTION Science & Technology Resonance Frequency Analysis 030206 dentistry stability 020601 biomedical engineering Resonance frequency analysis Dental Prosthesis Design Coronal plane RESONANCE FREQUENCY-ANALYSIS Implant Tomography Spiral Computed TORQUE Biomedical engineering |
Popis: | BACKGROUND AND PURPOSE: Implant stability is one of the most important factors influencing osseointegration. Using stereolithographical guides for maximizing precision, this study aimed at investigating the relationship between implant stability and bone density derived from computerized tomography analysis. MATERIALS AND METHODS: One hundred ninety-five implants were placed in 48 patients using digitally designed stereolithographical surgical guides. Ninety-five implants were placed using a mucosa supported guide and 100 implants were placed using a bone supported guide. Implant stability was measured by means of resonance frequency analysis (RFA) and damping capacity assessment (Periotest, PTV). Bone density (Hounsfield units) was measured at different regions of interest (ROI) and cortex thickness was measured around each implant. RESULTS: Implant stability correlated significantly with the different ROI. The best correlation for RFA was obtained for the spongious bone ROI (r = .64) and PTV best correlated with the coronal cortex density (r = -.41). Shorter implants (9 mm) had a significantly lower primary stability than longer implants (11, 13, 15 mm). Primary stability was also significantly higher in 4 mm diameter implants than in 3.5 mm diameter implants. A formula for the prediction of primary stability based on the different variables investigated was developed. CONCLUSIONS: Bone density and cortex thickness have a significant influence on implant primary stability. Longer and wider implants reached higher primary stability than shorter and narrower implants. These correlations lose their significance after osseointegration has taken place. Implant stability can be predicted based on an preoperative analysis of bone characteristics. ispartof: CLINICAL IMPLANT DENTISTRY AND RELATED RESEARCH vol:20 issue:1 pages:50-57 ispartof: location:United States status: published |
Databáze: | OpenAIRE |
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