DIGITAL IMPLANT PLANNING: A BRIEF NARRATIVE REVIEW

W.El Khourani,A.El Yamani,Mohammed V University

doi:10.21474/ijar01/12527

Abstract

Recently, the development of radiology, and software engineering, has led to the development of a new protocol called computer-assisted implantology (CAI) or guided implantology. CT / CBCT scanners allow the dentist to visualize a patients anatomy in 3 dimensions. Define the precise measurement of bone for implant placement, soft tissue thickness, proximity and adjacent root anatomy. The exact location of the maxillary sinuses, and other relevant vital structures such as mandibular canal, mental and incisal foramen canal. Once the images are imported, to the software the clinician can then virtually begin treatment planning. The type and size of the planned implant, its position in the bone, its relationship to the restoration and adjacent teeth and/or implants, and its proximity to vital structures can be determined prior to surgery. Computer-generated surgical drill guides can then be manufactured from the virtual treatment plan.

Highlights

The development of radiology, and software engineering, has led to the development of a new protocol called computer-assisted implantology (CAI) or guided implantology
The primary goal of this surgical technique is to help the implantologist to preserve the anatomical structures of the jaws, and to enable the implantologist to achieve immediate loading and esthetics while being less invasive
This article discusses the principle of guided implantology, the different steps of the protocol, the technique for manufacturing the guide

Summary

Introduction

The development of radiology, and software engineering, has led to the development of a new protocol called computer-assisted implantology (CAI) or guided implantology. Computer-generated surgical drill guides can be manufactured from the virtual treatment plan. This innovative technique allows dental implants to be placed using a digitally manufactured guide. The use of virtual 3D pre-treatment planning techniques allowed for optimized implant placement and improved clinical outcomes.

Results

Conclusion