Literature DB >> 31209581

Risk stratification against inferior alveolar nerve injury after lower third molar extraction by scoring on cone-beam computed tomography image.

Seiko Kubota1, Tomoaki Imai2, Mitsuhiro Nakazawa1, Narikazu Uzawa1.   

Abstract

The study aimed to stratify the risk of inferior alveolar nerve injury (IANI) after lower third molar (LM3) surgery with a scoring system using identified predictive factors based on cone-beam computed tomography (CBCT) images. In a case-control study, the primary outcome was IANI occurrence. The control group included randomly selected patients without IANI. Predictor variables included patient demographics, surgical situations, Pell-Gregory classification, and inferior alveolar canal (IAC)-associated factors on CBCT. Study variables were analyzed using logistic regression models. Risk stratification was assessed by a scoring system that was constructed using independent predictors. The 858 patients who underwent LM3 surgery (1177 teeth) after CBCT scan were divided into case (25 patients, 2.9%, 27 teeth) and control (235 patients, 300 teeth) groups. In the multivariate model, lingual/inter-radicular position of IAC [odds ratio (OR) 7.21; P < 0.001; assigned score, 2], multiple roots closed to the IAC with cortical perforation (OR 3.72; P = 0.015; 1), and age > 30 years (OR 4.99; P = 0.008; 2) were associated with an increased IANI-risk. The IANI-risk scoring system could be stratified into low- and high-risk groups at a cutoff score of 3 (sensitivity, 68.0%; specificity, 90.6%; positive predictive value, 17.8%; positive likelihood ratio, 7.23). In conclusion, the high-risk group of IANI after LM3 surgery corresponded to individuals with multiple factors: lingual/inter-radicular IAC position to LM3, multiple roots with perforated IAC, and increased age (> 30 years). Raising awareness of the higher probability for IANI is needed for patients with multiple aforementioned factors.

Entities:  

Keywords:  Cone-beam computed tomography; Inferior alveolar canal; Scoring system; Third molar surgery; Tooth extraction

Mesh:

Year:  2019        PMID: 31209581     DOI: 10.1007/s10266-019-00438-2

Source DB:  PubMed          Journal:  Odontology        ISSN: 1618-1247            Impact factor:   2.634


  34 in total

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Authors:  Y Y Leung; L K Cheung
Journal:  Int J Oral Maxillofac Surg       Date:  2010-10-28       Impact factor: 2.789

Review 2.  Predictive Value of Panoramic Radiography for Injury of Inferior Alveolar Nerve After Mandibular Third Molar Surgery.

Authors:  Naichuan Su; Arjen van Wijk; Erwin Berkhout; Gerard Sanderink; Jan De Lange; Hang Wang; Geert J M G van der Heijden
Journal:  J Oral Maxillofac Surg       Date:  2016-12-15       Impact factor: 1.895

3.  Diagnostic value of cone beam computed tomography and panoramic radiography in predicting mandibular nerve exposure during third molar surgery.

Authors:  A Hasani; F Ahmadi Moshtaghin; P Roohi; V Rakhshan
Journal:  Int J Oral Maxillofac Surg       Date:  2016-10-31       Impact factor: 2.789

4.  Surgical approaches for condylar fractures related to facial nerve injury: deep versus superficial dissection.

Authors:  T Imai; Y Fujita; A Motoki; H Takaoka; T Kanesaki; Y Ota; S Iwai; H Chisoku; M Ohmae; T Sumi; M Nakazawa; N Uzawa
Journal:  Int J Oral Maxillofac Surg       Date:  2019-03-02       Impact factor: 2.789

5.  Risk factors associated with inferior alveolar nerve injury after extraction of the mandibular third molar--a comparative study of preoperative images by panoramic radiography and computed tomography.

Authors:  T Hasegawa; S Ri; T Shigeta; M Akashi; Y Imai; Y Kakei; Y Shibuya; T Komori
Journal:  Int J Oral Maxillofac Surg       Date:  2013-03-15       Impact factor: 2.789

Review 6.  Efficacy of CBCT for assessment of impacted mandibular third molars: a review - based on a hierarchical model of evidence.

Authors:  L H Matzen; A Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2015       Impact factor: 2.419

7.  What Are the Risk Factors for External Root Resorption of Second Molars Associated With Impacted Third Molars? A Cone-Beam Computed Tomography Study.

Authors:  Melek Tassoker
Journal:  J Oral Maxillofac Surg       Date:  2018-09-04       Impact factor: 1.895

8.  Third molar surgery: an audit of the indications for surgery, post-operative complaints and patient satisfaction.

Authors:  V Lopes; R Mumenya; C Feinmann; M Harris
Journal:  Br J Oral Maxillofac Surg       Date:  1995-02       Impact factor: 1.651

9.  Incidence of neurosensory deficits and recovery after lower third molar surgery: a prospective clinical study of 4338 cases.

Authors:  L K Cheung; Y Y Leung; L K Chow; M C M Wong; E K K Chan; Y H Fok
Journal:  Int J Oral Maxillofac Surg       Date:  2010-01-12       Impact factor: 2.789

10.  Clinical assessment of the relationship between the third molar and the inferior alveolar canal using panoramic images and computed tomography.

Authors:  Kenji Nakamori; Kumiko Fujiwara; Akihiro Miyazaki; Kei Tomihara; Manabu Tsuji; Mitsuyoshi Nakai; Yoshitaka Michifuri; Rina Suzuki; Kiyoto Komai; Makoto Shimanishi; Hiroyoshi Hiratsuka
Journal:  J Oral Maxillofac Surg       Date:  2008-11       Impact factor: 1.895

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Journal:  Comput Intell Neurosci       Date:  2022-05-18

2.  Comparison of Digital OPG and CBCT in Assessment of Risk Factors Associated with Inferior Nerve Injury during Mandibular Third Molar Surgery.

Authors:  Rakhi Issrani; Namdeo Prabhu; Mohammed Sghaireen; Hasna Rasheed Alshubrmi; Amal Mohamed Alanazi; Zainab Ali Alkhalaf; Mohammed Odhayd Alnusayri; Fahad Muqbil Aljohani; Zafar A Khan
Journal:  Diagnostics (Basel)       Date:  2021-12-06
  2 in total

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