Literature DB >> 33529607

Degree of Compression of the Inferior Alveolar Canal on Cone-Beam Computed Tomography and Outcomes of Postoperative Nerve Injury in Mandibular Third Molar Surgery.

Anton Sklavos1, Seth Delpachitra2, Tom Jaunay3, Ricky Kumar4, Arun Chandu5.   

Abstract

PURPOSE: Cone-beam computed tomography (CBCT) offers the advantage of a 3-dimensional representation of the anatomic relationship of the mandibular third molar tooth and the inferior alveolar canal (IAC), as compared to a panoramic radiograph. We hypothesized that a novel method of categorizing the degrees of compression of the IAC were reliable predictors for postoperative nerve injuries.
METHODS: We conducted a retrospective analysis of the outcomes in third molar surgery for patients who obtained a CBCT scan in additional to a plain film radiograph over a 12 months period and underwent surgical removal of their mandibular third molars; 257 consecutive patients were identified, and 416 mandibular third molars were surgically removed.
RESULTS: Patients who had severe compression of the inferior alveolar canal (IAC) on CBCT imaging had a significantly increased risk of a postoperative IAN injury (P = .0068, OR = 3.47, 95% CI: 1.40 to 8.54) and accounted for 52.17% of all IAN injuries. Ninety-one percent of all cases of postoperative nerve injury occurred in female patients. The mean age of patients with a postoperative IAN injury (30.2 years) was significantly higher than those without injury 26.0 years; (P = .016, 95%CI: 25.11 to 33.80)
CONCLUSIONS: In addition to patient factors, assessment of the degree of compression on a preoperative CBCT image is a useful tool for predicting outcomes in mandibular third molar surgery. In cases of severe compression of the IAC, patients are at a significantly increased risk of postoperative IAN injury.
Copyright © 2021 American Association of Oral and Maxillofacial Surgeons. All rights reserved.

Entities:  

Year:  2021        PMID: 33529607     DOI: 10.1016/j.joms.2020.12.049

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  3 in total

1.  Deep learning-based evaluation of the relationship between mandibular third molar and mandibular canal on CBCT.

Authors:  Mu-Qing Liu; Zi-Neng Xu; Wei-Yu Mao; Yuan Li; Xiao-Han Zhang; Hai-Long Bai; Peng Ding; Kai-Yuan Fu
Journal:  Clin Oral Investig       Date:  2021-07-27       Impact factor: 3.573

2.  Lingual bone thickness in the apical region of the horizontal mandibular third molar: A cross-sectional study in young Japanese.

Authors:  Shinpei Matsuda; Hitoshi Yoshimura
Journal:  PLoS One       Date:  2022-01-25       Impact factor: 3.240

3.  Maxillary third molars with horizontal impaction: A cross-sectional study using computed tomography in young Japanese patients.

Authors:  Shinpei Matsuda; Hitoshi Yoshimura
Journal:  J Int Med Res       Date:  2022-02       Impact factor: 1.671

  3 in total

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