Issue |
J Oral Med Oral Surg
Volume 28, Number 2, 2022
|
|
---|---|---|
Article Number | 16 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/mbcb/2021047 | |
Published online | 08 April 2022 |
Original Research Article
Cross sectional analysis of mandibular anthropometric points using CBCT to derive biometric measurements for a safer approach to mandible osteotomies
Department of Oral and Maxillofacial Surgery, School of Dentistry D. Y. Patil University,
Sector 7 Nerul,
Navi Mumbai - 400706,
India
* Correspondence: dr.gauravtom@gmail.com
Received:
20
March
2021
Accepted:
6
November
2021
Purpose: This study aims to derive a series of biometric measurements using cone-beam computed tomography (CBCT) from a cross sectional group of population to help the surgeon accurately locate the mandibular foramen and the mental foramen during mandibular osteotomies. Methods: CBCT images of 800 subjects were evaluated. Various measurements were noted and compared between the two sides of the mandible in and between the sexes. Result: Statistically significant values were noted between the right and left sides of Line X to Point A in female subjects, Line Z & Line B only in male subjects and Line X’ in both male and female subjects. However, Line Y was found to be significant when comparing both sides in both males and females and also on correlation between the genders. Conclusion: Although the identification of the mandibular lingula and anatomical landmarks is an important step during mandibular osteotomies, the position of one side, however, cannot be blindly extrapolated to the contra lateral side. Also, pre operative CBCT is a useful tool to derive measurements which when transferred clinically during the surgery gives an accurate and safe approach for localisation of lingula, thus reducing the incidence of post operative neurologic morbidities.
Key words: Orthognathic surgery / sagittal split ramus osteotomycone-beam computed tomography / mandibular foramen / lingula
© The authors, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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