Related Experiment Video
Updated: Sep 8, 2025

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla
Published on: October 18, 2021
Does the operator's generational cohort influence the accuracy of orthodontic miniscrews insertion in the palatine
Davide Brilli1, Matteo Giansanti2, Michele Cassetta2
1Department of Oral and Maxillofacial Sciences, Sapienza University of Rome, Via Caserta, 6, 00161, Roma, RM, Italy. davidebrilli@gmail.com.
Purpose:
This study aimed to evaluate intergenerational differences in miniscrew placement accuracy in the palatine vault using dynamic computer-assisted surgery (d-CAS), and to assess the correlation between the number of surgeries, and both accuracy variables and procedure duration.
Materials And Methods:
72 subjects were enrolled and for each two miniscrews were inserted in the paramedian region via d-CAS (144 overall). Subjects were randomly allocated into three groups according to the operator's generation: Group A (Generation X), Group B (Generation Y), and Group C (Generation Z). CBCT scans were superimposed to evaluate five variables: Entry-3D, Entry-2D, Apex-3D, Apex-Vertical, and angular deviation. Procedure duration was calculated. Statistical analyses included descriptive statistics, Shapiro-Wilk, ANOVA, Kruskal-Wallis, Tukey and Dunn's tests and Pearson Correlation. P-value was set at ≤ 0.05.
Results:
ANOVA test demonstrated significant differences between the three groups in Entry-3D (P < 0.001), Entry-2D (P < 0.001), and Apex-3D (P = < 0.001) parameters, while Kruskal-Wallis test found a significant difference in angular deviation (P = 0.003). Post-hoc comparison revealed significant differences between groups A and C, and groups B and C. Pearson correlation indicated a negative correlation between intervention time and number of surgeries.
Conclusions:
Miniscrew insertion using d-CAS is operator-dependent, and the generational cohort of the operator is a factor that influences certain accuracy parameters. There is a correlation between the progression of surgeries and a reduction in the time employed. Understanding the impact of generational differences can encourage the use of digital technologies for novices in clinical practice.
Clinical Trial Number:
NCT06661551 (clinicaltrials.gov; 10/25/2024).

