Literature DB >> 20356665

Does computed tomographic assessment of inferior alveolar canal cortical integrity predict nerve exposure during third molar surgery?

Srinivas M Susarla1, Harlyn K Sidhu, Laura L Avery, Thomas B Dodson.   

Abstract

PURPOSE: To evaluate the association between computed tomographic (CT) assessment of inferior alveolar nerve (IAN) canal cortical integrity and intraoperative IAN exposure.
MATERIALS AND METHODS: This was a retrospective cohort study. The study sample included patients considered at high risk for IAN injury based on panoramic findings. The primary predictor variable was IAN canal integrity (intact or interrupted) assessed on coronal CT images. The secondary predictor variable was length of the cortical defect, in millimeters. The primary outcome variable was intraoperative visualization of the IAN. Other variables were demographic and operative parameters. Bivariate and multiple logistic regression analyses were used to evaluate the unadjusted and adjusted associations between the cortical integrity and IAN exposure. Diagnostic test characteristics were computed for cortical integrity and threshold cortical defect size. A P value < or = 0.05 was statistically significant.
RESULTS: The sample consisted of 51 subjects (57% female) with a mean age of 35.2 +/- 12.8 years. Of the 80 third molars available for evaluation, 52 third molars (64.1%) had evidence of loss of cortical integrity. The mean cortical defect length was 2.9 +/- 2.6 mm. Loss of cortical integrity had a high sensitivity (> or = 0.88) but low specificity (< or = 0.49) as a diagnostic test for IAN visualization. A cortical defect size > or = 3 mm was associated with an increased risk for intraoperative IAN visualization with a high sensitivity and specificity (> or = 0.82).
CONCLUSION: Cortical defect size on a maxillofacial CT has a high sensitivity and specificity for predicting intraoperative IAN exposure during third molar removal. 2010 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2010        PMID: 20356665     DOI: 10.1016/j.joms.2010.01.021

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


  11 in total

1.  A multivariate statistical analysis on variables affecting inferior alveolar nerve damage during third molar surgery.

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2.  Influence of cone beam CT on treatment plan before surgical intervention of mandibular third molars and impact of radiographic factors on deciding on coronectomy vs surgical removal.

Authors:  L H Matzen; J Christensen; H Hintze; S Schou; A Wenzel
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3.  Risk stratification against inferior alveolar nerve injury after lower third molar extraction by scoring on cone-beam computed tomography image.

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4.  Risk assessment of inferior alveolar neurovascular bundle by multidetector computed tomography in extractions of third molars.

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5.  3D imaging reconstruction and impacted third molars: case reports.

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Review 6.  Clinical significance of computed tomography assessment for third molar surgery.

Authors:  Kenji Nakamori; Kei Tomihara; Makoto Noguchi
Journal:  World J Radiol       Date:  2014-07-28

7.  Classification of impacted mandibular third molars on cone-beam CT images.

Authors:  Michele Maglione; Fulvia Costantinides; Gabriele Bazzocchi
Journal:  J Clin Exp Dent       Date:  2015-04-01

8.  Analysis and evaluation of relative positions of mandibular third molar and mandibular canal impacts.

Authors:  Hang-Gul Kim; Jae-Hoon Lee
Journal:  J Korean Assoc Oral Maxillofac Surg       Date:  2014-12-26

9.  Accuracy of cone-beam computed tomography in defining spatial relationships between third molar roots and inferior alveolar nerve.

Authors:  Roberto Pippi; Marcello Santoro; Ferdinando D'Ambrosio
Journal:  Eur J Dent       Date:  2016 Oct-Dec

10.  Radiographic features of anatomic relationship between impacted third molar and inferior alveolar canal on coronal CBCT images: risk factors for nerve injury after tooth extraction.

Authors:  Dongmiao Wang; Tangyi Lin; Yanling Wang; Chao Sun; Lianfeng Yang; Hongbing Jiang; Jie Cheng
Journal:  Arch Med Sci       Date:  2016-03-23       Impact factor: 3.318

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