A new inertial navigation system for guiding implant placement. An in-vitro proof-of-concept study

PLoS One. 2021 Oct 21;16(10):e0255481. doi: 10.1371/journal.pone.0255481. eCollection 2021.

Abstract

The aim of this study was to assess the potential use of a new advanced inertial navigation system for guiding dental implant placement and to compare this approach with standard stereolithographic template guiding. A movement processing unit with a 9-axis absolute orientation sensor was adapted to a surgical handpiece and wired to a computer navigation interface. Sixty implants were placed by 10 operators in 20 jaw models. The 30 implants of the test group were placed in 10 models guided by the new inertial navigation prototype. The 30 implants of the control group were placed in another 10 models using a CAD-CAM template. Both groups were subdivided into experienced and non-experienced operators. Pre- and postoperative computer tomography images were obtained and matched to compare the planned and final implant positions. Four deviation parameters (global, angular, depth, and lateral deviation) were defined and calculated. The primary outcome was the angular deviation between the standard stereolithographic approach and the new inertial navigation system. Results showed no significant differences between both groups, suggesting that surgical navigation based on inertial measurement units (IMUs) could potentially be useful for guiding dental implant placement. However, more studies are still needed to translate this new approach into clinical practice.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cone-Beam Computed Tomography / methods
  • Dental Implantation / instrumentation
  • Dental Implantation / methods*
  • Dental Implants*
  • Humans
  • Image Processing, Computer-Assisted / methods
  • Imaging, Three-Dimensional / methods
  • Mandible / surgery*
  • Models, Anatomic*
  • Surgery, Computer-Assisted / methods*

Substances

  • Dental Implants

Grants and funding

This work has been supported in part by grant RTI2018-098969-B-100 from the Spanish Ministerio de Ciencia, Innovación y Universidades, by grant PROMETEO/2019/119 from the Generalitat Valenciana´s Conselleria d'Educació, Investigació, Cultura i Esport.