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Eur Rev Med Pharmacol Sci ; 28(5): 1741-1750, 2024 Mar.
Article En | MEDLINE | ID: mdl-38497856

OBJECTIVE: To evaluate the prevalence of bifid mandibular canals (BMC) using cone-beam computed tomography (CBCT) in the Saudi population subset. MATERIALS AND METHODS: In the study, three hundred and forty-three CBCT scans (661 sides) were evaluated for the presence of BMC, involving 162 males and 181 females. Tomographic acquisitions were performed on the device Planmeca®. The image analysis was performed on the Planmeca Romexis® software, aided by image filters associated with transverse, oblique, and panoramic reconstruction cuts for analysis of the BMC. Naitoh's classification (2009) was employed to classify mandibular canals. The prevalence of BMC was determined according to location, gender, and age of participants. The data were analyzed with Chi-square and one-way ANOVA tests at a significance level of 95%. RESULTS: The BMC was observed in 37 (12.34%) out of 343 participants, of whom 20 (54.05%) were males and 17 (45.94%) were females. There was no significant difference in the proportion of bifid canals in both genders and various age groups. The most common BMC was the retromolar canal type, with 56.75% occurrence. The dental canal type was observed in 18.91% of BMC participants. The presence of a forward canal without confluence was observed in 16.21% of participants in the BMC, whereas a forward canal with confluence was noted in 8.10% of participants. CONCLUSIONS: The prevalence of bifid mandibular canals (BMC) within a subset of the Saudi population was 12.3%. The retromolar canal was identified as the most frequently occurring type, accounting for 56.7% of cases. No significant variations in BMC prevalence were observed concerning age and gender. Consequently, it is strongly advised to conduct a thorough assessment of the mandibular canal and its potential variations using CBCT imaging before undertaking mandibular surgical procedures, in order to minimize the risk of complications.


Cone-Beam Computed Tomography , Mandibular Canal , Humans , Female , Male , Retrospective Studies , Hydrolases , Image Processing, Computer-Assisted
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