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Related Experiment Video

Updated: Jun 7, 2025

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla
05:54

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

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Dynamic navigation-guided robotic placement of zygomatic implants.

Mohammed Y Al-Jarsha1, Yufeng Diao2, Guodong Zhao3

  • 1Department of Oral Surgery, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom; Department of Oral and Maxillofacial Surgery, College of Dentistry, University of Baghdad, Baghdad, Iraq.

Journal of Dentistry
|November 14, 2024
PubMed
Summary

This study demonstrates that a robotic system guided by dynamic navigation can accurately place zygomatic implants in models. The system shows potential for predictable outcomes in zygomatic implant surgery.

Keywords:
CalibrationFeasibility studiesFeedbackRobotic surgical proceduresZygoma

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Area of Science:

  • Oral and Maxillofacial Surgery
  • Robotic Surgery
  • Dental Implantology

Background:

  • Zygomatic implants offer a solution for severe maxillary atrophy.
  • Accurate placement is crucial for successful zygomatic implant rehabilitation.
  • Robotic systems integrated with dynamic navigation may enhance surgical precision.

Purpose of the Study:

  • To evaluate the feasibility and accuracy of a novel robotic implant system for zygomatic implant placement.
  • To assess the precision of robotic-guided implant positioning in edentulous maxillary models.

Main Methods:

  • Eight plastic maxillary models were used with cone beam computed tomography (CBCT) for planning.
  • A robotic arm (UR3e) and dynamic navigation system were employed for implant placement.
  • Sixteen zygomatic implants (ZYGAN®) were placed, and accuracy was assessed using CBCT superimposition and specialized software (EvaluNav, GeoMagicDesignX®).

Main Results:

  • Mean 3D deviations were 1.80 ± 0.96 mm at the entry point and 2.80 ± 0.95 mm at the exit point.
  • Mean angular deviation was 1.74 ± 0.92°.
  • Drilling forces correlated with deviations, indicating potential for force feedback optimization.

Conclusions:

  • The dynamic navigation-guided robotic placement of zygomatic implants achieved clinically acceptable accuracy.
  • The integrated robotic-dynamic navigation system shows promise for predictable zygomatic implant surgery, warranting further refinement for clinical use.