Detection and characteristics of the gubernacular tract in supernumerary teeth on cone beam computed tomography.

Oral Radiol

Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, University of Ondokuz Mayis, Atakum, 55139, Samsun, Turkey.

Published: April 2023

AI Article Synopsis

  • * Out of 960 CBCT images analyzed, ST were found in 93 patients, showing a prevalence of 9.7%, with premolar-shaped ST being the most common.
  • * The study concluded that CBCT is effective for studying ST and their GT, helping dentists in procedures like extraction and traction by understanding the GT's characteristics, such as its shape and angle.

Article Abstract

Objectives: The aim of this study was to evaluate the prevalence and visualization of supernumerary teeth (ST) and imaging characteristics of their gubernacular tract (GT) using cone beam computed tomography (CBCT).

Methods: Presence and visualization of ST were retrospectively evaluated using 960 CBCT images. The imaging characteristics of GT were analyzed to determine various presentations of GT according to type, shape, and orientation of ST.

Results: ST were radiographically detected in 93 patients, for a prevalence of 9.7%. Premolar shaped ST were more common (p = 0.003). GT was detected in 104 (77.2%) of impacted ST and mostly found straight in shape (49.0%). It was most frequently observed in peridens (n = 51, 49.0%) followed by mesiodens (n = 41, 39.4%) and more frequently seen in premolar-like ST (n = 44, 42.3%). The mean length of the GT in mandible was 2.8 mm, the mean length of the GT in maxilla was 1.0 mm (p < 0.001). The mean angle of the GT in mandible was 17.0, and the mean angle of the GT in maxilla was 43.0 (p = 0.004).

Conclusions: CBCT can be used for evaluations in dental practice to provide comprehensive information about ST and their GT characteristics. Clinicians should be able to identify the characteristics of GTs on CBCT for dental treatments, especially traction and extraction of ST.

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Source
http://dx.doi.org/10.1007/s11282-022-00636-9DOI Listing

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