Mathematical evaluation of the influence of multiple factors on implant stability quotient values in clinical practice A retrospective study

Open Access
Authors
Publication date 2016
Journal Therapeutics and clinical risk management
Volume | Issue number 12
Pages (from-to) 1525-1532
Organisations
  • Faculty of Dentistry (ACTA)
Abstract
Objectives: The objective of this study is to mathematically evaluate the influence of multiple factors on implant stability quotient values in clinical practice.
Patients and methods: Resonance frequency analysis was performed at T1 (measured immediately at the time of implant placement) and at T2 (measured before dental restoration) in 177 patients (329 implants). Using a multivariate linear regression model, we analyzed the influence of the following eleven candidate factors: sex, age, maxillary/mandibular location, bone type, immediate/delayed implantation, bone grafting (presence or absence), insertion torque, I-/II-stage healing pattern, implant diameter, implant length, and T1-T2 time interval.
Results: The following factors were identified to significantly influence the implant stability quotient (ISQ) values at T1: insertion torque, bone grafting, I-/II-stage healing pattern, immediate/delayed implantation, maxillary/mandibular location, implant diameter, and sex. In contrast, the ISQ values at T2 were significantly influenced only by three factors: implant diameter, T1-T2 time interval, and insertion torque.
Conclusion: Among the eleven candidate factors, seven key factors were found to influence the T1-ISQ values, while only three key factors influenced the T2-ISQ values. Both T1 and T2-ISQ values were found to be influenced by implant diameter and insertion torque. T1 was influenced specifically by the sex of the patient, the location (maxillary or mandibular), the implantation mode (immediate/delayed implantation), the healing stage, and the absence or presence of bone graft materials.
Document type Article
Language English
Published at https://doi.org/10.2147/TCRM.S113764
Other links https://www.scopus.com/pages/publications/84991627586
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Mathematical evaluation of the influence (Final published version)
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