Surgical extraction of a sublingually-displaced retained root with the aid of a magnetic field-based dynamic navigation system: a case study

J Korean Assoc Oral Maxillofac Surg. 2024 Dec 31;50(6):367-372. doi: 10.5125/jkaoms.2024.50.6.367.

Abstract

The submandibular displacement of a mandibular third molar residual root presents major challenges to oral and maxillofacial surgeons due to the proximity to critical anatomical structures such as the lingual nerve and sublingual artery. Preoperative imaging can approximate the location of the residual tooth root; however, accurately determining its exact position is difficult because of the dynamic nature of the mandible and the difficulty of real-time synchronization of imaging. This study presents the successful extraction of a residual mandibular third molar root in a 67-year-old female patient achieved using a magnetic field-based navigation system. The sublingually-displaced residual root was localized using the navigation system, marked using a virtual implant placement, and positioned by a hand piece using synchronized real-time sensor data. The root was successfully removed with a minimally-invasive approach. No complications occurred postoperatively, and follow-up showed no major issues. Due to the small size of the marker, ease of calibration, and independence from visual obstacles, magnetic field-based navigation systems are a promising tool for the removal of residual roots displaced into adjacent soft tissue.

Keywords: Minimally invasive surgical procedures; Surgical navigation systems; Tooth extraction.

Publication types

  • Case Reports

Grants and funding

FUNDING This work was supported by Nano-Convergence Foundation (www.kontrs.or.kr/business/02.php) funded by the Ministry of Science and ICT (MSIT) and the Ministry of Trade, Industry and Energy (MOTIE) (Project name: Dental implant placement guide robot system based on permanent magnet positioning device/Project number: 20014921). This work was supported by National IT Industry Promotion Agency (NIPA) grant funded by the Korean government (MSIT) (S1402-23-1001, AI Diagnostic Assisted Virtual Surgery and Digital Surgical Guide for Dental Implant Treatment in the Post-Aged Society: A Multicenter Clinical Demonstration).