Reliability of CBCT Dataset in Determination of Surgical Approaches of Maxillary Impacted Canine Teeth

Background : One of the most commonly impacted teeth is the maxillary canine, right after the third molar. Many potential difficulties might arise before, during, and after the extraction of impacted maxillary teeth. Performing thorough radiographic exams can be beneficial. The information needed for a two-dimensional (2D) examination is provided by the periapical and panoramic radiographs (OPG) utilized in conventional dental radiography. Cone beam computed tomography (CBCT) is a novel imaging technology developed in response to the shortcomings of traditional (2-D) imaging methods. Everyone will gain from these problems being resolved. Objectives : This study aims to evaluate two types of 2D (OPG) and 3D imaging (CBCT) approaches for diagnosing and treating maxillary impacted canines. Furthermore, to determine the best approach selection option for surgical removal procedures utilizing OPG and CBCT, focusing on the sagittal section for increased safety and efficiency. Materials and Methods: This study is a prospective radiographic investigation of 80 patients with CBCT radiographic evaluation. Eighteen cases (22.5%) of men and 62 (77.5%) of women were reported. Version 27 of SPSS was used to analyze the data. The independent t-test offered information on the reliability of the quantitative variables. We utilized a Chi-square test for the qualitative analysis, and for the quantitative analysis, we used a cross-tabulation to determine the level of agreement. Results : The t-test result, depending on surgical approach time, was 8.4; there is a significant difference between the two radiography prognoses, with p-values of (0.000) at the significant level (0.05). The % age of agreement between impactions and surgical techniques ranged from 87.5% to 100%. Conclusion : This study shows that the CBCT guide can provide accurate, reliable, and reproducible results in assessing and predicting the kind of impaction and surgical approach in a simple, time-saving manner. © 2022 Production by the University of Garmian. This is an open access article under the LICENSE https://creativecommons.org/licenses/by-nc/4.0/