Klinik Araştırma
BibTex RIS Kaynak Göster

Investigation of the Bifid Mandibular Canal Prevalence in the Central Anatolian Population: A Retrospective CBCT Study

Yıl 2025, Cilt: 7 Sayı: 1, 145 - 150, 15.01.2025
https://doi.org/10.37990/medr.1555187

Öz

Aim: This study aims to retrospectively examine cone beam computed tomography (CBCT) images obtained for various reasons to determine the prevalence of bifid mandibular canal (BMC) in the Central Anatolian population.
Material and Method: A total of 518 mandibular canals (right and left sides evaluated separately) from 259 CBCT images (145 female, 114 male) that met the inclusion criteria were included in the study. BMCs were categorized as retromolar canal, forward canal, dental canal, and buccolingual canal. Individuals were grouped into age ranges of 15-34, 35-54, and 55-75 years. Statistical analysis was performed using IBM SPSS version 25.0. The data were then compared based on side (right/left), gender, and age.
Results: BMC was observed in 35.9% of the total participants. The most common subtype was the forward canal (Type 3) at a rate of 41.9%, followed by the retromolar canal at 35.4%, the dental canal at 31.1%, and the buccolingual canal at 26.8%. While there was no significant difference in BMC prevalence by gender, the prevalence was found to be higher in the second age group.
Conclusion: In conclusion, regardless of subtype, determining the presence of BMC in patients undergoing mandibular procedures is extremely important for informing the clinician, especially to avoid complications such as local anesthesia failure, postoperative paresthesia, or bleeding. If present, it should be noted in the CBCT report.

Kaynakça

  • von Arx T, Bornstein MM. The bifid mandibular canal in three-dimensional radiography: morphologic and quantitative characteristics. J Swiss Dent. 2021;131:10-28.
  • Kang JH, Lee KS, Oh MG, et al. The incidence and configuration of the bifid mandibular canal in Koreans by using cone-beam computed tomography. Imaging Sci Dent. 2014;44:53-60.
  • Chávez-Lomeli M, Mansilla Lory J, Pompa J, et al. The human mandibular canal arises from three separate canals innervating different tooth groups. J Dent Res. 1996;75:1540-4.
  • Nortjé C, Farman A, Grotepass F. Variations in the normal anatomy of the inferior dental (mandibular) canal: a retrospective study of panoramic radiographs from 3612 routine dental patients. Brit J Oral Surg. 1977;15:55-63.
  • Rouas P, Delbos Y, Nancy J. Pseudo multiple and enlarged mandibular canals: the evidence-based response of cone beam computed tomography. Dentomaxillofac Radiol. 2006;35:217-8.
  • Orhan K., Aksoy S, Bilecenoglu B, et al. Evaluation of bifid mandibular canals with cone-beam computed tomography in a Turkish adult population: a retrospective study. Surg Radiol Anat. 2011;33:501-7.
  • Okumuş Ö, Dumlu A. Prevalence of bifid mandibular canal according to gender, type, and side. J Dent Sci. 2019;14:126-33.
  • Nithya J, Aswath N. Assessing the prevalence and morphological characteristics of bifid mandibular canal using cone-beam computed tomography - a retrospective cross-sectional study. J Clin Imaging Sci. 2020;10:30.
  • Naitoh M, Hiraiwa Y, Aimiya H, Ariji E. Observation of bifid mandibular canal using cone-beam computerized tomography. Int J Oral Maxillofac Implants. 2009;24:155-9.
  • Serindere G, Gündüz K, Bulut E. Investigation of bifid mandibular canal frequency with cone beam computed tomography in a Turkish population. Anatomy. 2017;11:30-6.
  • Elnadoury EA, Gaweesh YSE, Abu El Sadat SM, Anwar SK. Prevalence of bifid and trifid mandibular canals with unusual patterns of nerve branching using cone beam computed tomography. Odontology. 2022;110:203-11.
  • Rashsuren O, Choi JW, Han WJ, Kim EK. Assessment of bifid and trifid mandibular canals using cone-beam computed tomography. Imaging Sci Dent. 2014;44:229-36.
  • Alali Y, Mohammed WA, Alabulkarim M, et al. Assessment of bifid mandibular canals using cone beam computed tomography in general population: a retrospective evaluation. Eur Rev Med Pharmacol Sci. 2024;28:1741-50.
  • Dumanlı D, Geduk G, Şeker Ç. Retrospective evaluation of mandibular canal anatomy and variations by cone-beam computed tomography. J Int Dent Sci. 2023;9:40-5.
  • Aung NM, Myint KK. Bifid mandibular canal: a proportional meta‐analysis of computed tomography studies. Int J Dent. 2023;2023:9939076.
  • Gartley S. Prevalence of Bifid Mandibular Canals in a United States Dental School Population. PhD Thesis, Temple University, USA, 2024.
  • Laçin N, Aytuğar E, Veli İ. Cone-beam computed tomography evaluation of bifid mandibular canal in a Turkish population. Int Den Res. 2018;8:78-83.
Yıl 2025, Cilt: 7 Sayı: 1, 145 - 150, 15.01.2025
https://doi.org/10.37990/medr.1555187

Öz

Kaynakça

  • von Arx T, Bornstein MM. The bifid mandibular canal in three-dimensional radiography: morphologic and quantitative characteristics. J Swiss Dent. 2021;131:10-28.
  • Kang JH, Lee KS, Oh MG, et al. The incidence and configuration of the bifid mandibular canal in Koreans by using cone-beam computed tomography. Imaging Sci Dent. 2014;44:53-60.
  • Chávez-Lomeli M, Mansilla Lory J, Pompa J, et al. The human mandibular canal arises from three separate canals innervating different tooth groups. J Dent Res. 1996;75:1540-4.
  • Nortjé C, Farman A, Grotepass F. Variations in the normal anatomy of the inferior dental (mandibular) canal: a retrospective study of panoramic radiographs from 3612 routine dental patients. Brit J Oral Surg. 1977;15:55-63.
  • Rouas P, Delbos Y, Nancy J. Pseudo multiple and enlarged mandibular canals: the evidence-based response of cone beam computed tomography. Dentomaxillofac Radiol. 2006;35:217-8.
  • Orhan K., Aksoy S, Bilecenoglu B, et al. Evaluation of bifid mandibular canals with cone-beam computed tomography in a Turkish adult population: a retrospective study. Surg Radiol Anat. 2011;33:501-7.
  • Okumuş Ö, Dumlu A. Prevalence of bifid mandibular canal according to gender, type, and side. J Dent Sci. 2019;14:126-33.
  • Nithya J, Aswath N. Assessing the prevalence and morphological characteristics of bifid mandibular canal using cone-beam computed tomography - a retrospective cross-sectional study. J Clin Imaging Sci. 2020;10:30.
  • Naitoh M, Hiraiwa Y, Aimiya H, Ariji E. Observation of bifid mandibular canal using cone-beam computerized tomography. Int J Oral Maxillofac Implants. 2009;24:155-9.
  • Serindere G, Gündüz K, Bulut E. Investigation of bifid mandibular canal frequency with cone beam computed tomography in a Turkish population. Anatomy. 2017;11:30-6.
  • Elnadoury EA, Gaweesh YSE, Abu El Sadat SM, Anwar SK. Prevalence of bifid and trifid mandibular canals with unusual patterns of nerve branching using cone beam computed tomography. Odontology. 2022;110:203-11.
  • Rashsuren O, Choi JW, Han WJ, Kim EK. Assessment of bifid and trifid mandibular canals using cone-beam computed tomography. Imaging Sci Dent. 2014;44:229-36.
  • Alali Y, Mohammed WA, Alabulkarim M, et al. Assessment of bifid mandibular canals using cone beam computed tomography in general population: a retrospective evaluation. Eur Rev Med Pharmacol Sci. 2024;28:1741-50.
  • Dumanlı D, Geduk G, Şeker Ç. Retrospective evaluation of mandibular canal anatomy and variations by cone-beam computed tomography. J Int Dent Sci. 2023;9:40-5.
  • Aung NM, Myint KK. Bifid mandibular canal: a proportional meta‐analysis of computed tomography studies. Int J Dent. 2023;2023:9939076.
  • Gartley S. Prevalence of Bifid Mandibular Canals in a United States Dental School Population. PhD Thesis, Temple University, USA, 2024.
  • Laçin N, Aytuğar E, Veli İ. Cone-beam computed tomography evaluation of bifid mandibular canal in a Turkish population. Int Den Res. 2018;8:78-83.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ağız, Diş ve Çene Radyolojisi
Bölüm Özgün Makaleler
Yazarlar

Melike Güleç 0000-0002-8616-2101

Elif Esra Özmen 0000-0003-1920-4655

Yayımlanma Tarihi 15 Ocak 2025
Gönderilme Tarihi 25 Eylül 2024
Kabul Tarihi 5 Aralık 2024
Yayımlandığı Sayı Yıl 2025 Cilt: 7 Sayı: 1

Kaynak Göster

AMA Güleç M, Özmen EE. Investigation of the Bifid Mandibular Canal Prevalence in the Central Anatolian Population: A Retrospective CBCT Study. Med Records. Ocak 2025;7(1):145-150. doi:10.37990/medr.1555187

 Chief Editors

Assoc. Prof. Zülal Öner
Address: İzmir Bakırçay University, Department of Anatomy, İzmir, Turkey

Assoc. Prof. Deniz Şenol
Address: Düzce University, Department of Anatomy, Düzce, Turkey

Editors
Assoc. Prof. Serkan Öner
İzmir Bakırçay University, Department of Radiology, İzmir, Türkiye

E-mail: medrecsjournal@gmail.com

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