Assessing the Initial Prediction by Navigation in the DIOnavi System on the Accuracy of Implant Placement

  • Mitra Johari Dentist, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  • Mohammad Ghasabzadehnaeini Assistant Professor, Department of Oral and Maxillofacial Surgery, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  • Mohammad Aminkavoosi Assistant Professor, Department of Oral and Maxillofacial Radiology, School of Dentistry, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  • Maryam Hedayatian Postgraduate Dentistry, Department of Orthodontics, School of Dentistry, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.
Keywords: Dental Implants, Surgical navigation systems, Oral surgery.

Abstract

Introduction: Accuracy in guided implant surgery means that pre-determined position of the implant by the software matches the position of the implant in the patient's mouth. The aim of this study was to evaluate the impact of initial prediction by navigation in the DIOnavi system on the accuracy of implant placement.

Materials & Methods: In this interventional study, two samples of 17 and 25 patients) in total 42 patient) requesting navigation method for implant placement were selected. First, a cone beam computed tomography (CBCT) was taken from each patient and then its virtual model was prepared using the DIO NAVI system (South Korean DIO company. Two to three months following the implant placement by the surgeon, the CBCT from the same section was obtained again and the thickness of the buccal bone on the implant, the thickness of the lingual bone on the implant, the distance of the implant apex to the apical anatomic regions (Nasal cavity, Maxillary sinus and Mental foramen), Implant depth from crest edge and implant distance from adjacent teeth if present in the two obtained images were compared. Data were analyzed using paired t test and Pearson Correlation Coefficient (α = 0.05).

Results: The mean of all measurements in both groups in the initial prediction was significantly related to after surgery (r = 0.99, p value < 0.001) and in the group of 17, 98% and in the group of 25, 97.4% of the variances of the means of the total measurements were explained by the initial prediction.

Conclusion: The accuracy of implant placement with the help of dionavi system is estimated to be more than 97%.

 

Published
2022-09-06
Section
Articles