Accuracy comparison of dental implants obtained by dynamic CAIS in All-on-4 edentulous area among different types of bone density: an in vitro study

Abstract

Background: Determination of available bone is particularly important in implant placement quality of bone can affect the accuracy implant placement. Currently, Dynamic navigation system illustrated the improvement of implant accuracy, The accuracy of implant placement using computer-assisted implant placement system (CAIS) is unknown. As a result, the goal of this study was to see how bone density affected implant placement accuracy with Dynamic CAIS.

Purpose: To determine the effect of different bone density in the accuracy of implant placement using dynamic navigation system

Materials and Methods: The study's overall design includes a single doctor planning each implant using a CBCT scan of a jaw model and performing a mock operation and implant delivery on a maxilla model while employing dynamic CAIS in various bone densities, all while following the All-on-4 protocol. To verify accuracy, the implant's placement and axis are compared to the implant plan. Oneway ANOVA and Welch test were used to determine differences between groups, and the Post Hoc test (Tukey HSD and Games-Howell) were used to determine differences within groups, The Pearson correlation coefficient was used to assess the relationship between each bone type and implant accuracy parameters. with 0.05 significant level.

Results: There were no significant differences were found between four groups of bone density in all parameters; The angular deviation(p=0.324), Implant 3D platform deviation (p=0.8933) and 3D apex deviation(p=0.61). However, the lowest bone density group(type4) illustrated the highest deviation for all implant deviation differences between groups, the result trend towards negative correlation between bone density and the accuracy of implant placement in angular deviation (P= 0.59) and apex deviation (P=0.55).

Conclusions: Within the limits of our investigation, the influence of bone condition on implant placement accuracy with dynamic computer-guided surgery is statistically unaffected