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Dental implant location via surface scanner: a pilot study.

Miao Zhou¹, Hui Zhou^1,2, Shu-Yi Li¹

¹Department of Oral and Maxillofacial Surgery, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Huangshadadao Road 39, Guangzhou, 510182, China.

BMC Oral Health

|November 5, 2020

Summary

This study introduces a surface scanning method for dental implant location, offering an alternative to radiation-based methods. The results show acceptable accuracy for postoperative verification, with further clinical studies recommended.

Keywords:

Accuracy Cone beam computerized tomography Dental implant Digital impression Extraoral scanner Intraoral scanner

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Last Updated: Dec 2, 2025

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

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Published on: October 18, 2021

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Effects of Mechanical Methods Used in Peri-implantitis Treatment on Implant Surface Decontamination and Roughness

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Published on: March 14, 2025

Area of Science:

Dental Implantology
Medical Imaging
Biomedical Engineering

Background:

Postoperative dental implant location is crucial for verifying anatomical safety and prosthetic plan realization.
Current methods rely on radiological scanning, posing concerns regarding radiation exposure and practical inconvenience.

Purpose of the Study:

To introduce and assess the accuracy of a novel implant location method based on surface scanning.
To evaluate the feasibility of surface scanning as an alternative to radiological methods for postoperative implant verification.

Main Methods:

Forty dental implants were placed in ten resin mandible models.
Models were scanned using intraoral scanners (IS) and extraoral scanners (ES).
Implant positions were determined by fusing surface scan data with cone-beam computed tomography (CBCT) post-placement, with deviations measured.

Main Results:

Both intraoral and extraoral surface scanning methods demonstrated acceptable accuracy in locating dental implants.
Mean deviations for central, horizontal, vertical, and angular measurements were within clinically acceptable ranges for both groups.
No significant differences in accuracy were found between the intraoral and extraoral scanner groups.

Conclusions:

Surface scanning presents a viable and accurate method for postoperative dental implant verification.
This technique offers a potential reduction in radiation exposure compared to traditional radiological methods.
Further clinical investigations are warranted to confirm the practical feasibility and efficacy of surface scanning in real-world dental applications.