Evaluation of Impacted Lower Third Molars Using Cone Beam Computed Tomography

Authors

  • José Raimundo Soares de Carvalho Dentistry Department, Uninassau College, João Pessoa, PB, Brazil
  • Josélia da Silva Leite Dentistry Department, Uninassau College, João Pessoa, PB, Brazil
  • Rudyard dos Santos Oliveira Dentistry Department, São Leopoldo Mandic College, Campinas, SP, Brazil

DOI:

https://doi.org/10.12974/2311-8695.2021.09.1

Keywords:

Cone beam computed tomography, Third molar, Impacted tooth.

Abstract

The aim of the study was to define the prevalence of impacted lower third molars using cone beam computed tomography and to classify according to Winter, Pell and Gregory and Maglione. The sample consisted of 250 CBCT exams. The evaluation of the selected images was performed using CS 3D imaging software using axial, cross-section and panoramic reconstruction sections. Data collection was performed by filling out the forms containing the classifications of Winter, Pell and Gregory and Maglione. Data analysis was performed through the distribution of frequencies (absolute and relative) associated with the construction of 95% confidence intervals of proportions. Of the 250 tomography exams analyzed, 113 (45.2%) were male and 137 (54.8%) were female. The positions and differences between the most frequent sides according to the Winter, Pell & Gregory and Maglione classification, respectively, were: Mesioangular - 29.8% (95% CI: 25.8% -33.8%), right side (30.4 %), left side (29.2%); Class II - 31.2% (95% CI: 27.1% -35.3%); position A, right side (30.4%) left side (32.0%); Class 1A - 39.8% (95% CI: 35.5% -44.1%), right side (40.0%), left side (39.6%). Thus, there was a higher prevalence in the mesioangular position according to the Winter classification and, in relation to the Pell and Gregory classification, the class II / A position; while, according to Maglione's classification, the most prevalent position is Class 1A. 

References

Barroso M, Arriola-Guillén LE, Rodríguez-Cárdenas YA, Ruíz-Mora GA, Guerrero ME, Flores-Mir C. Tridimensional assessment of the dental follicle dimensions of impacted mandibular third molars using cone-beam CT. J Clin Exp Dent, 2018; 10(8): e726-e731. https://doi.org/10.4317/jced.54310

Brasil DM, Nascimento EHL, Gaêta-Araujo H, Oliveira- Santos C, Mariade Almeida S. Is Panoramic Imaging Equivalent to Cone-Beam Computed Tomography for Classifying Impacted Lower Third Molars? J Oral Maxillofac Surg. 2019; 77(10): 74-1968. https://doi.org/10.1016/j.joms.2019.03.041

Oliveira RS, Oliveira AMG, Junqueira JLC, Panzarella FK. Association between the Anatomy of the Mandibular Canal and Facial Types: A Cone-Beam Computed Tomography Analysis. Int J Dent. 2018; p. 9, ID: 5481383. https://doi.org/10.1155/2018/5481383

Kubota S, Imai T, Nakazawa M, Uzawa N. Risk stratification against inferior alveolar nerve injury after lower third molar extraction by scoring on cone- beam computed tomography image. Odontology. 2019. https://doi.org/10.1007/s10266-019-00438-2

Gu L, Zhu C, Chen K, Liu X, Tang Z. Anatomic study of the position of the mandibular canal and corresponding mandibular third molar on cone-beam computed tomography images. Surg Radiol Anat. 2018; 40(6): 609-614. https://doi.org/10.1007/s00276-017-1928-6

Khojastepour L, Khaghaninejad MS, Hasanshahi R, Forghani M, Ahrari F. Does the Winter or Pell and Gregory Classification System Indicate the Apical Position of Impacted Mandibular Third Molars? J Oral Maxillofac Surg.

Qi W, Lei J, Liu YN, Li JN, Pan J, Yu GY. Evaluating the risk of post- extraction inferior alveolar nerve injury through therelative position of the lower third molar root and inferior alveolar canal. Int J Oral Maxillofac. Surg. 2019. https://doi.org/10.1016/j.ijom.2019.07.008

Winter GB. Principles of exodontia as applied to the impacted mandibular third molar: a complete treatise on the operative technic with clinical diagnoses and radiographic interpretations. St. Louis: American Medical Books Co. 1926; p. 79-241.

Pell GJ, Gregory BT. Impacted third molars: classification and modified technique for removal. Dent Dig. 1933; 39: 8- 330.

Maglione M, Costantinides F, Bazzocchi G. Classification of impacted mandibular third molars on cone-beam CT images. J Clin Exp Dent. 2015; 7(2): e224-31. https://doi.org/10.4317/jced.51984

Nakamori K, Tomihara K, Noguchi M. Clinical significance of computed tomography assessment for third molar surgery. World J Radiol, 2014; 6: 23-417. https://doi.org/10.4329/wjr.v6.i7.417

Topkara A, Sari Z. Investigation of third molar impaction in Turkish orthodontic patients: prevalence, depth and angular positions. Eur J Dent. 2013; 7(1): 8-94.

Haghanifar S, Moudi E, Seyedmajidi M, Mehdizadeh M, Nosrati K, Abbaszadeh N, Bijani A, Ghorbani H. Can the follicle-crown ratio of the impacted third molars be a reliable indicator of pathologic problem? J Dent Shiraz Univ Med Si. 2014; 15(4): 187-191.

Chen Y, Liu J, Pei J, Liu Y, Pan J. The risk factors that can increase possibility of mandibular canal wall damage in adult: a cone-beam computed tomography (CBCT) study in a Chinese population. Med Sci Monit. 2018; 24: p. 26-36. https://doi.org/10.12659/MSM.905475

Pinto DG, Mockdeci HR, Almeida LE, Assis NMSP, Vilela EM. Análise da prevalência e correlações por gênero, faixaetária, raça e classificação dos terceirosmolares. HU Revista. 2015; 41(3)4: 62-155.

Miloro M, Ghali GE, Larsen PE, Waite PD. Princípios de cirurgiabucomaxilofacial de Peterson. 3.ed. São Paulo: Santos, 2016.

Mansuri S, Mujeeb A, Hussain SA, Hussain MAZ. Mandibular thirdmolar impactions in male adults: Relationship of Operative time and Types of impaction on inflammatory complications. J Int Oral Health. 2014; 6(2): p. 9-15.

Downloads

Published

02-06-2021

How to Cite

Soares de Carvalho, J. R. ., Leite, J. da S., & Oliveira, R. dos S. (2021). Evaluation of Impacted Lower Third Molars Using Cone Beam Computed Tomography. The Journal of Dentists, 9, 1–6. https://doi.org/10.12974/2311-8695.2021.09.1

Issue

Section

Articles