Evaluation of canalis sinuosus with cone beam computed tomography in terms of implant treatment
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Abstract (EN)
Objective: The aim of our study is to determine the surgical procedure limits for anterior maxilla implant placement by evaluating the canalis sinuosus and its adjacents. Material and method: In our study, 400 CIBT images that met the appropriate criteria were included and the images were examined in coronal, sagittal and axial sections. The relationship of the canalis sinuosus with the incisive canal (İC), buccal bone (BB), alveolar ridge crest (ARC) and nasal cavity (NC) was examined. The ratios of these relations were evaluated according to age (18-50 years, 51-75 years), gender and dental arch toothed or edentulous. In the statistical evaluation of the findings obtained in the study, IBM SPSS.25 program was used in all analyzes and a p< 0.05 value was accepted as the level of significance. Results: It was found that the incidence of Canalis sinuosus was not significantly related to the presence of teeth in the dental arch and gender, but increased with advanced age. The CS-İC distance was found to be higher in patients with teeth and in the 18-50 age group. It was found that the relationship between the canalis sinuosus and its neighbors was not dependent on age and gender, but the CS-ARC and NC-ARC distances increased with the presence of teeth. Conclusion: It has been found that Canalis sinuosus can be seen frequently in the maxilla and is adjacent to important anatomical structures. Since cases of canalis sinosus have been reported in the literature as the cause of persistent pain that does not pass after implant surgery placed in this area, it is very important for dentists to evaluate this structure in detail before surgical procedures in this area for a successful treatment protocol. Key words: Canalis sinuosus, dental implant, maxilla
Author
Hamide Dursun Zahıtovıc
Institution
How to Cite
Hamide Dursun Zahıtovıc (Dentistry Specialty Thesis). Evaluation of canalis sinuosus with cone beam computed tomography in terms of implant treatment, 2022, Afyonkarahisar Health Sciences University.
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