Comparative analysis of panoramic radiography and cone-beam computed tomography in treatment planning of palatally displaced canines

Peteris Sosars, Gundega Jakobsone (Coresponding Author), Laura Neimane, Maksims Mukans

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Introduction: The objective of this research was to compare the predictive value of panoramic radiographs (PRs) and cone-beam computed tomography (CBCT) scans for the estimation of root resorption, spontaneous eruption of a canine, and time for orthodontic traction. Methods: CBCT scans and PR images of 88 patients (27 male and 61 female; aged between 11 and 44 years) with 106 palatally displaced maxillary canines were retrieved from a database. Predictive values of several radiographic parameters, including the 3-dimensional angle of the canine, were analyzed using the area under the curve and multiple regression analysis. Results: The angle to the midline and canine position category had a discriminative ability for root resorption of the central incisors with area under the curve values of 0.63 (95% confidence interval, 0.56-0.79) and 0.83 (95% confidence interval, 0.75-0.91), respectively. PR measurements were not reliable predictors of resorptions, except severe resorptions, of the lateral incisors and the premolars. The measurements describing the position of the canine in relation to the midline could predict spontaneous eruption of the canine, regardless of the imaging method. The canine angle to the midline assessed on CBCT was significantly associated with traction time of the canine, producing the following equation: canine traction time = 49.6 − 0.24 × canine angle to the midline (r2 = 0.360). Conclusions: Only severe resorptions of roots can be predicted with PRs. The use of CBCT is indicated in cases of impacted canines.

Original languageEnglish
Pages (from-to)719-727
Number of pages9
JournalAmerican Journal of Orthodontics and Dentofacial Orthopedics
Issue number5
Publication statusPublished - 1 May 2020

Field of Science*

  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database


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