Mandibular canal branching assessed with cone beam computed tomography
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The mandibular canal must be considered in dental procedures to avoid injuries of the alveolar inferior nerve. The occurrence of anatomical variations of the mandibular canal increases the risk of neurovascular injuries. The purpose of this study was to identify and describe the prevalence of mandibular canal branching (MCB) using cone beam computer tomography (CBCT).
Seven hundred standardized CBCTs were selected. The images were evaluated for the presence of MCB and for the detection of pathologies that could affect the structure of the canals. The data were analyzed using descriptive statistics and the Chi-squared test.
The prevalence of MCB was 41.1%. There was no statistical difference between genders with the presence of the branches (p > 0.005). The highest prevalence was in the premolar and retromolar regions. Pathologies found in the molar region were frequently connected with MCB (77.8%), and the most common pathology related to branches was periapical lesion.
Mandibular canal branching presented a high prevalence in CBCT imagery, more frequently located in regions of the premolar and retromolar. An adequate diagnosis of the MCB is necessary to perform dental procedures and verify possible associated pathologies.
KeywordsCone beam computed tomography Mandibular canal Mandible Inferior alveolar nerve Bifid mandibular canal
Compliance with ethical standards
Conflict of interest
The authors of the article “Mandibular canal branching assessed with cone beam computed tomography” declare that they have no conflict of interest regarding the study.
This article does not contain any studies with human participants or animals performed by any of the authors.
- 6.Kang JH, Lee KS, Oh MG, Choi HY, Lee SR, Oh SH, Choi YJ, Kim GT, Choi YS, Hwang EH (2014) The incidence and configuration of the bifid mandibular canal in Koreans by using cone-beam computed tomography. Imaging Sci Dent 44:53–60. https://doi.org/10.5624/isd.2014.44.1.53 CrossRefPubMedPubMedCentralGoogle Scholar
- 9.Muinelo-Lorenzo J, Suárez-Quintanilla JA, Fernández-Alonso A, Marsillas-Rascado S, Suárez-Cunqueiro MM (2014) Descriptive study of the bifid mandibular canals and retromolar foramina: cone beam CTvs panoramic radiography. Dentomaxillofac Radiol 43:20140090. https://doi.org/10.1259/dmfr.20140090 CrossRefPubMedPubMedCentralGoogle Scholar
- 12.de Oliveira-Santos C, Souza PH, de Azambuja Berti-Couto S, Stinkens L, Moyaert K, Rubira-Bullen IRF, Jacobs R (2012) Assessment of variations of the mandibular canal through cone beam computed tomography. Clin Oral Investig 16:387–393. https://doi.org/10.1007/s00784-011-0544-9 CrossRefPubMedGoogle Scholar
- 13.Al Orhan, Orhan K, Aksoy S, Ozqül O, Horasan S, Arslan A, Kocyigit D (2013) Evaluation of perimandibular neurovascularization with accessory mental foramina using cone-beam computed tomography in children. J CraniofacSurg 24:e365–e369. https://doi.org/10.1097/scs.0b013e3182902f49 CrossRefGoogle Scholar
- 20.Fukami K, Shiozaki K, Mishima A, Kuribayashi A, Hamada Y, Kobayashi K (2012) Bifid mandibular canal: confirmation of limited cone beam CT findings by gross anatomical and histological investigations. Dentomaxillofac Radiol 41:460–465. https://doi.org/10.1259/dmfr/60245722 CrossRefPubMedPubMedCentralGoogle Scholar
- 23.Bennett S, Towsend G (2001) Distribution of the mylohyoid nerve: anatomical variability and clinical implications. Aust Endod J 27:109–111. https://doi.org/10.1111/j.1747-4477.2001.tb00470.x CrossRefPubMedGoogle Scholar