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http://dx.doi.org/10.5051/jpis.2016.46.2.116

The relationship between dental implant stability and trabecular bone structure using cone-beam computed tomography  

Kang, Se-Ryong (Department of Biomedical Radiation Sciences, Seoul National University Graduate School of Convergence Science and Technology)
Bok, Sung-Chul (Department of Oral and Maxillofacial Radiology and Dental Research Institute, Seoul National University School of Dentistry)
Choi, Soon-Chul (Department of Oral and Maxillofacial Radiology and Dental Research Institute, Seoul National University School of Dentistry)
Lee, Sam-Sun (Department of Oral and Maxillofacial Radiology and Dental Research Institute, Seoul National University School of Dentistry)
Heo, Min-Suk (Department of Oral and Maxillofacial Radiology and Dental Research Institute, Seoul National University School of Dentistry)
Huh, Kyung-Hoe (Department of Oral and Maxillofacial Radiology and Dental Research Institute, Seoul National University School of Dentistry)
Kim, Tae-Il (Department of Periodontology and Dental Research Institute, Seoul National University School of Dentistry)
Yi, Won-Jin (Department of Oral and Maxillofacial Radiology and Dental Research Institute, Seoul National University School of Dentistry)
Publication Information
Journal of Periodontal and Implant Science / v.46, no.2, 2016 , pp. 116-127 More about this Journal
Abstract
Purpose: The objective of this study was to investigate the relationships between primary implant stability as measured by impact response frequency and the structural parameters of trabecular bone using cone-beam computed tomography(CBCT), excluding the effect of cortical bone thickness. Methods: We measured the impact response of a dental implant placed into swine bone specimens composed of only trabecular bone without the cortical bone layer using an inductive sensor. The peak frequency of the impact response spectrum was determined as an implant stability criterion (SPF). The 3D microstructural parameters were calculated from CT images of the bone specimens obtained using both micro-CT and CBCT. Results: SPF had significant positive correlations with trabecular bone structural parameters (BV/TV, BV, BS, BSD, Tb.Th, Tb.N, FD, and BS/BV) (P<0.01) while SPF demonstrated significant negative correlations with other microstructural parameters (Tb.Sp, Tb.Pf, and SMI) using micro-CT and CBCT (P<0.01). Conclusions: There was an increase in implant stability prediction by combining BV/TV and SMI in the stepwise forward regression analysis. Bone with high volume density and low surface density shows high implant stability. Well-connected thick bone with small marrow spaces also shows high implant stability. The combination of bone density and architectural parameters measured using CBCT can predict the implant stability more accurately than the density alone in clinical diagnoses.
Keywords
Bone and bones; Cone-beam computed tomography; Dental implants; X-ray microtomography;
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