Send to

Choose Destination
PLoS One. 2017 Oct 30;12(10):e0187010. doi: 10.1371/journal.pone.0187010. eCollection 2017.

Multivariate linear regression analysis to identify general factors for quantitative predictions of implant stability quotient values.

Author information

Department of Oral Implantology and Prosthetic Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Universiteit van Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, Nord-Holland, the Netherlands.
Department of Prosthodontic Dentistry, Johann Wolfgang Goethe University, Frankfurt, Hessen, Germany.
Best & Easy Dental Clinic, Hangzhou, Zhejiang Province, P.R. China.
The Affiliated Stomatology Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, P.R. China.
The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang Province, P.R. China.



This study identified potential general influencing factors for a mathematical prediction of implant stability quotient (ISQ) values in clinical practice.


We collected the ISQ values of 557 implants from 2 different brands (SICace and Osstem) placed by 2 surgeons in 336 patients. Surgeon 1 placed 329 SICace implants, and surgeon 2 placed 113 SICace implants and 115 Osstem implants. ISQ measurements were taken at T1 (immediately after implant placement) and T2 (before dental restoration). A multivariate linear regression model was used to analyze the influence of the following 11 candidate factors for stability prediction: sex, age, maxillary/mandibular location, bone type, immediate/delayed implantation, bone grafting, insertion torque, I-stage or II-stage healing pattern, implant diameter, implant length and T1-T2 time interval.


The need for bone grafting as a predictor significantly influenced ISQ values in all three groups at T1 (weight coefficients ranging from -4 to -5). In contrast, implant diameter consistently influenced the ISQ values in all three groups at T2 (weight coefficients ranging from 3.4 to 4.2). Other factors, such as sex, age, I/II-stage implantation and bone type, did not significantly influence ISQ values at T2, and implant length did not significantly influence ISQ values at T1 or T2.


These findings provide a rational basis for mathematical models to quantitatively predict the ISQ values of implants in clinical practice.

[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Public Library of Science Icon for PubMed Central
Loading ...
Support Center