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Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography

Year 2023, Volume: 9 Issue: 1, 40 - 45, 14.04.2023
https://doi.org/10.21306/dishekimligi.1224382

Abstract

Purpose: Determining the anatomical localization and variations of the mandibular canal is of great importance in determining the treatment method to be preferred during the treatment of the patient and having an idea before surgery for possible complications. In this study, it was aimed to evaluate the anatomy and variations of the mandibular canal using Cone Beam Computed Tomography(CBCT).
Materials&Methods: CBCT images obtained from 300 jaws of 300 patients, 168 of whom were female and 132 male, were used. The examined mandibular canals were divided into four groups as retromolar, anterior canal, dental and buccolingual canals. Statistical analysis of the data was performed using descriptive statistics and chi-square tests.
Results: Bifid duct was detected in 149(49.2%) of the patients, but trifid duct was not detected. 73 (48.99%) of bifid canals were detected on the right and 76 (50.01%) on the left. Considering the relationship between age and gender and the presence of mandibular canal variation, no statistically significant result was found according to the chi-square test.When the right-left distribution of the channel variations evaluated in the study was examined, no statistically significant relationship was observed.(p>0.005)(p=0.688)
Conclusion: The prevalence of variation in the examined mandibular canals was found to be 49.66%. Anterior canal(35.6%) was most common, followed by retromolar canal(28.2%), dental canal(25.6%) and buccolingual canal(10.7%). According to the results obtained, the possibility of approximately 50 percent mandibular canal variation should be considered in prosthetic and surgical treatment interventions planned in the relevant regions.

References

  • 1. Sanchis JM, Peñarrocha M, Soler F. Bifid mandibular canal. J Oral Maxillofac Surg 2003; 61: 422-424.
  • 2. White SC, Pharoah MJ. Oral Radiology: Principles and Interpretation. 6th ed. Missouri, Mosby Elsevier, St. Louis; 2009. 175-244.
  • 3. Chávez-Lomeli ME, Lory JM, Pompa JA, Kjaer I. The human mandibular canal arises from three separate canals innervating different tooth groups. J Dent Res 1996; 75: 1540-1544.
  • 4. 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: 155-159.
  • 5. Orhan K, Aksoy S, Bilecenoglu B, Sakul BU, Paksoy CS. Evaluation of bifid mandibular canals with cone-beam computed tomography in a Turkish adult population: a retrospective study. Surg Radiol Anat 2010; 33: 501-507.
  • 6. Kang JH, Lee KS, Oh MG, Choi HY, Lee SR, Oh SH, Choi YJ, Kim GT, Choi YS, Hwang EH. The incidence of configuration of the bifid mandibular canal in Koreans by using cone beam computed tomography. Imaging Sci Dent. 2014; 44: 53-60.
  • 7. 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.
  • 8. Serindere G, Investigation of the incidence of bifid mandibular canal in Turkish population by cone beam computed tomography method, Master's Thesis, Samsun Ondokuz Mayıs Faculty of Dentistry, 2015.
  • 9. Okumuş Ö, Retrospective Evaluation Of Mandibular Canal Variations With Cone Beam Computed Tomography in Turkish Population, Master's Thesis, Marmara Faculty of Dentistry, 2016.
  • 10. 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, 110: 203-211.

Mandibular Kanal Anatomisi ve Varyasyonlarının Konik Işınlı Bilgisayarlı Tomografi ile Retrospektif Değerlendirilmesi

Year 2023, Volume: 9 Issue: 1, 40 - 45, 14.04.2023
https://doi.org/10.21306/dishekimligi.1224382

Abstract

Amaç: Mandibular kanalın anatomik lokalizasyonunu ve varyasyonlarını tespit etmek, hastanın tedavisi esnasında tercih edilecek tedavi yöntemini belirlemede ve olası komplikasyonlar için cerrahi öncesinde fikir sahibi olmada büyük bir öneme sahiptir. Bu çalışmada mandibular kanal anatomisini ve varyasyonlarını Konik Işınlı Bilgisayarlı Tomografi(KIBT) kullanarak değerlendirmek amaçlandı.
Gereç ve Yöntemler: 168’i kadın 132’si erkek toplam 300 hastaya ait 300 yarım çeneden elde edilmiş KIBT görüntüleri kullanıldı. İncelenen mandibular kanallar retromolar, ön kanal, dental ve bukkolingual kanal olmak üzere dört gruba ayrıldı. Verilerin istatistiksel analizi tanımlayıcı istatistik ve ki-kare testleri kullanılarak yapıldı.
Bulgular: Hastaların 149(% 49,2)’ unda bifid kanal saptanırken trifid kanal saptanmadı. Bifid kanalların 73(%48,99)’ü sağda, 76(% 50, 01)’sı solda tespit edildi. Hastalarda yaş ve cinsiyet ile mandibular kanal varyasyonu varlığının ilişkisine bakıldığında ki-kare testine göre istatistiksel olarak anlamlı bir sonuç bulunamamıştır. Çalışmada değerlendirilen kanal varyasyonlarının hastalarda sağ sol dağılımı incelendiğinde istatistiksel olarak anlamlı bir ilişki görülmedi.(p>0.005) (p=0.688)
Sonuç: İncelenen mandibular kanallarda varyasyon görülme prevelansı %49,66 olarak bulundu. En çok ön kanal(%35,6) daha sonra sırasıyla retromolar kanal(%28,2), dental kanal(%25,6) ve bukkolingual kanal(%10,7) gözlendi. Elde edilen sonuçlara göre ilgili bölgelerde yapılması planlanan protetik ve cerrahi tedavi girişimlerinde yüzde 50’ye yakın mandibular kanal varyasyonu görülme ihtimali göz önüne alınmalıdır.

References

  • 1. Sanchis JM, Peñarrocha M, Soler F. Bifid mandibular canal. J Oral Maxillofac Surg 2003; 61: 422-424.
  • 2. White SC, Pharoah MJ. Oral Radiology: Principles and Interpretation. 6th ed. Missouri, Mosby Elsevier, St. Louis; 2009. 175-244.
  • 3. Chávez-Lomeli ME, Lory JM, Pompa JA, Kjaer I. The human mandibular canal arises from three separate canals innervating different tooth groups. J Dent Res 1996; 75: 1540-1544.
  • 4. 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: 155-159.
  • 5. Orhan K, Aksoy S, Bilecenoglu B, Sakul BU, Paksoy CS. Evaluation of bifid mandibular canals with cone-beam computed tomography in a Turkish adult population: a retrospective study. Surg Radiol Anat 2010; 33: 501-507.
  • 6. Kang JH, Lee KS, Oh MG, Choi HY, Lee SR, Oh SH, Choi YJ, Kim GT, Choi YS, Hwang EH. The incidence of configuration of the bifid mandibular canal in Koreans by using cone beam computed tomography. Imaging Sci Dent. 2014; 44: 53-60.
  • 7. 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.
  • 8. Serindere G, Investigation of the incidence of bifid mandibular canal in Turkish population by cone beam computed tomography method, Master's Thesis, Samsun Ondokuz Mayıs Faculty of Dentistry, 2015.
  • 9. Okumuş Ö, Retrospective Evaluation Of Mandibular Canal Variations With Cone Beam Computed Tomography in Turkish Population, Master's Thesis, Marmara Faculty of Dentistry, 2016.
  • 10. 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, 110: 203-211.
There are 10 citations in total.

Details

Primary Language English
Subjects Dentistry
Journal Section Research Articles
Authors

Didem Dumanlı 0000-0001-7409-8096

Gediz Geduk 0000-0002-9650-2149

Çiğdem Şeker 0000-0001-8984-1241

Publication Date April 14, 2023
Acceptance Date February 20, 2023
Published in Issue Year 2023 Volume: 9 Issue: 1

Cite

APA Dumanlı, D., Geduk, G., & Şeker, Ç. (2023). Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography. Journal of International Dental Sciences (Uluslararası Diş Hekimliği Bilimleri Dergisi), 9(1), 40-45. https://doi.org/10.21306/dishekimligi.1224382
AMA Dumanlı D, Geduk G, Şeker Ç. Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography. J Int Dent Sci. April 2023;9(1):40-45. doi:10.21306/dishekimligi.1224382
Chicago Dumanlı, Didem, Gediz Geduk, and Çiğdem Şeker. “Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography”. Journal of International Dental Sciences (Uluslararası Diş Hekimliği Bilimleri Dergisi) 9, no. 1 (April 2023): 40-45. https://doi.org/10.21306/dishekimligi.1224382.
EndNote Dumanlı D, Geduk G, Şeker Ç (April 1, 2023) Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography. Journal of International Dental Sciences (Uluslararası Diş Hekimliği Bilimleri Dergisi) 9 1 40–45.
IEEE D. Dumanlı, G. Geduk, and Ç. Şeker, “Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography”, J Int Dent Sci, vol. 9, no. 1, pp. 40–45, 2023, doi: 10.21306/dishekimligi.1224382.
ISNAD Dumanlı, Didem et al. “Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography”. Journal of International Dental Sciences (Uluslararası Diş Hekimliği Bilimleri Dergisi) 9/1 (April 2023), 40-45. https://doi.org/10.21306/dishekimligi.1224382.
JAMA Dumanlı D, Geduk G, Şeker Ç. Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography. J Int Dent Sci. 2023;9:40–45.
MLA Dumanlı, Didem et al. “Retrospective Evaluation of Mandibular Canal Anatomy and Variations by Cone-Beam Computed Tomography”. Journal of International Dental Sciences (Uluslararası Diş Hekimliği Bilimleri Dergisi), vol. 9, no. 1, 2023, pp. 40-45, doi:10.21306/dishekimligi.1224382.
Vancouver 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(1):40-5.

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