Literature DB >> 20036043

Reproducibility of 3 different tracing methods based on cone beam computed tomography in determining the anatomical position of the mandibular canal.

Niek L Gerlach1, Gert J Meijer, Thomas J J Maal, Jan Mulder, Frits A Rangel, Wilfred A Borstlap, Stefaan J Bergé.   

Abstract

PURPOSE: To investigate the reproducibility of 3 different tracing methods to determine a reliable method to define the proper anatomical position of the mandibular canal based on cone beam computed tomography (CBCT) data.
MATERIALS AND METHODS: Five dentate and 5 edentate patients were selected at random from the CBCT database. Two independent observers traced both the left and the right mandibular canal using 3-dimensional image-based planning software (Procera System NobelGuide; Nobel Biocare, Göteborg, Sweden). All mandibular canals were traced using 3 different methods. Method I was based on coronal views, also known as cross-sections. Panorama-like reconstructions were the starting point for method II. The third method combined methods I and II.
RESULTS: With respect to interobserver reliability, no significant difference (P = .34) for the various methods was observed. The reproducibility was better in edentate than in dentate jaws (P = .0015). The difference between 2 tracings was the lowest for the combined method: within a range of 1.3 mm in 95% of the course of the canal. The most obvious deviations were mainly seen in the anterior part of the canal.
CONCLUSIONS: The best reproducible method for mandibular canal tracing is the combined method III. Between observers, still a mean 95th percentile deviation threshold of 1.3 mm (SD 0.384) is noted, indicating that a safety zone of 1.7 mm should be respected. When planning surgery on CBCT-based data, surgeons should be aware of the obvious deviations located in the region of the anterior loop of the canal. 2010 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20036043     DOI: 10.1016/j.joms.2009.09.059

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


  19 in total

1.  Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images.

Authors:  Ehsan Bahrampour; Ali Zamani; Sadegh Kashkouli; Elham Soltanimehr; Mohsen Ghofrani Jahromi; Zahra Sanaeian Pourshirazi
Journal:  Dentomaxillofac Radiol       Date:  2015-12-14       Impact factor: 2.419

2.  In vitro correlation of the level of inferior alveolar canal with CBCT imaging.

Authors:  Ashok Balasundaram; Gary M Heir; Francisco Plaza Villegas; Maha Ahmad; Fatima Taher
Journal:  Surg Radiol Anat       Date:  2014-12-04       Impact factor: 1.246

3.  Cone Beam Computed Tomographic Analysis of the Course and Position of Mandibular Canal.

Authors:  Hooman Khorshidi; Saeed Raoofi; Janan Ghapanchi; Shoaleh Shahidi; Maryam Paknahad
Journal:  J Maxillofac Oral Surg       Date:  2016-09-09

4.  Tracking of the inferior alveolar nerve: its implication in surgical planning.

Authors:  Jimoh O Agbaje; Elke Van de Casteele; Ahmed S Salem; Dickson Anumendem; Ivo Lambrichts; Constantinus Politis
Journal:  Clin Oral Investig       Date:  2016-11-22       Impact factor: 3.573

5.  Accuracy of vertical height measurements on direct digital panoramic radiographs using posterior mandibular implants and metal balls as reference objects.

Authors:  L Vazquez; Y Nizamaldin; C Combescure; R Nedir; M Bischof; D M Dohan Ehrenfest; J-P Carrel; U C Belser
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

6.  Prevalence of bifid mandibular canals by cone beam computed tomography.

Authors:  Maria Fernanda Lima Villaça-Carvalho; Luiz Roberto Coutinho Manhães; Mari Eli Leonelli de Moraes; Sérgio Lúcio Pereira de Castro Lopes
Journal:  Oral Maxillofac Surg       Date:  2016-07-15

7.  Automatic segmentation of mandibular canal in cone beam CT images using conditional statistical shape model and fast marching.

Authors:  Fatemeh Abdolali; Reza Aghaeizadeh Zoroofi; Maryam Abdolali; Futoshi Yokota; Yoshito Otake; Yoshinobu Sato
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-09-21       Impact factor: 2.924

8.  Analysis of the frequency of visualization of morphological variations in anatomical bone features in the mandibular interforaminal region through cone-beam computed tomography.

Authors:  Marilza do Carmo Oliveira; Tamara Kerber Tedesco; Thais Gimenez; Sergio Allegrini
Journal:  Surg Radiol Anat       Date:  2018-05-21       Impact factor: 1.246

9.  Assessment of the Inferior Alveolar Nerve Canal Course Among Saudis by Cone Beam Computed Tomography (Pilot Study).

Authors:  Shereen M Shokry; Sarah A Alshaib; Zahra Z Al Mohaimeed; Farah Ghanimah; Malak M Altyebe; Mada A Alenezi; Fai Shadd; Safa Z Aldali; May M Alotaibi
Journal:  J Maxillofac Oral Surg       Date:  2018-10-17

10.  Inferior alveolar nerve canal position among South Indians: A cone beam computed tomographic pilot study.

Authors:  S M Balaji; N R Krishnaswamy; S Manoj Kumar; Thavarajah Rooban
Journal:  Ann Maxillofac Surg       Date:  2012-01
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