Exploring the effect of alveolar bone quality differences on implant ISQ readings using biofilm technology
Bin Wei
Department of Stomatology Special Consultation Clinic, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stomatology, Shanghai 200025, China
Quyi Chen
Department of Stomatology Special Consultation Clinic, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stomatology, Shanghai 200025, China.
Shengjia Ye
Department of Stomatology Special Consultation Clinic, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stomatology, Shanghai 200025, China.
Yao Gong
Department of Orthodontics, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stomatology, Shanghai 200025, China.
DOI:https://doi.org/10.5912/jcb1404
Abstract:
The rapid development of dental implant ology has placed higher demands on the means of jaw bone examination and the improvement of the management model. Implant ISQ readings are influenced by a variety of factors, including, naturally, the factor of alveolar bone quality differences. the emergence of the 6S management model and the optimization of CT detection technology can better detect the alveolar bone quality before and after implantation. In this paper, we use the 6S management model as a framework to investigate the relationship between the alveolar bone quality and the ISQ readings of the implant stability coefficients measured by CT and resonance frequency methods through statistical experiments. It also proposes solutions to the problems brought by alveolar bone to oral implants using biotechnology.