Chandak, Rakhi and Chandak, Manoj and Thakare, Pranali and Sathawane, Ramhari and Bansod, Runal and Deshmukh, Pranada and Sukhadeve, Vidyarjan and Akhtar, Zareesh and Tayade, Charwak (2021) Anthropometric Evaluation of Volume of Maxillary Sinus and Nasal Septum Patterns as an AID in Personal Identification Using CBCT-A Retrospective Study. Journal of Pharmaceutical Research International, 33 (59B). pp. 318-331. ISSN 2456-9119
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Abstract
Aims: To determine the reliability and accuracy of maxillary sinus volume and nasal septum patterns in personal identification in forensics using CBCT (cone beam computed tomography).
Study Design: Retrospective Study
Place and Duration of Study: Department of Oral Medicine and Radiology, Swargiya Dadasaheb Kalmegh Smruti Dental College and Hospital Nagpur, from September 2019-December 2019.
Methodology: 110 CBCT scans of bilateral maxillary sinuses and nasal septum images were retrospectively obtained from the Oral Medicine and Radiology database (68 men and 42 females). The study was divided into two groups based on age. Group
-I consists of 58 CBCT scans taken between the ages of 20 and 40, while Group -II consists of 52 CBCT scans taken between the ages of 41 and 80. The height, breadth, and depth of the maxillary sinus were measured linearly. The nasal septum was classed as simple deviation to the right or left, sigmoid type, reverse sigmoid type, and straight based on the septa's deviations. Each person's combined maxillary sinus and nasal septum pattern was documented.
Results: The difference in maxillary sinus volume between two age groups was significant (P<0.5). In age group I, there was a substantial change in the left deviation pattern, and there was a significant change in the reverse sigmoid pattern in males and the straight nasal septum pattern in females. With whatever nasal septum configuration, there were no volumetric alterations(P>0.5).
Conclusion: In future, further research will be needed with a larger number of images to compare in order to arrive at a definitive identification.
Item Type: | Article |
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Subjects: | Digital Academic Press > Medical Science |
Depositing User: | Unnamed user with email support@digiacademicpress.org |
Date Deposited: | 08 Feb 2023 08:10 |
Last Modified: | 11 Jul 2024 08:44 |
URI: | http://science.researchersasian.com/id/eprint/159 |