Retrospective evaluation of the morphometric properties of intact maxillary sinus using cone-beam computed tomography for sex estimation in an Indian population

Author:

Ghavate Vrushali Raosaheb1,Pawar Ajinkya M.1,Atram Jatin1,Vinay Vineet2,Wahjuningrum Dian Agustin3,Luke Alexander Maniangat45,Rezallah Nader Nabil6

Affiliation:

1. Conservative Dentistry and Endodontics, Nair Hospital Dental College, Mumbai, Maharashtra, India

2. Department of Public Health Dentistry, Sinhgad Dental College and Hospital, Pune, Maharashtra, India

3. Department of Conservative Dentistry, Faculty of Dental Medicine, Universitas Airlangga, Surabaya City, East Java, Indonesia

4. Department of Clinical Science, College of Dentistry, Ajman University, Al-Jurf, Ajman, United Arab Emirates

5. Center of Medical and Bio-allied Health Sciences Research, Ajman University, Al-Jurf, Ajman, United Arab Emirates

6. Department of Oral and Maxillofacial Radiology, City University Ajman, Sheikh Ammar Road, Ajman, United Arab Emirates

Abstract

Background Sex estimation is crucial to forensic examinations. In order to estimate sex, intact bones are used if the majority of bones are severely deformed and recovered in fragments. This study aims to analyze sexual dimorphism in intact maxillary sinuses using CBCT scanning to evaluate morphometric properties for sex identification. Methods A total of 318 subjects, consisting of 159 males and 159 females, aged between 20 and 60 years without sinus pathology were included in this diagnostic, retrospective cross-sectional study. Bilateral measurements of the volume, height, width, and length of the maxillary sinuses were obtained and compared to evaluate the differences between sexes. Subsequently, a descriptive analysis using mean and standard deviation was performed, followed by a comparison between sexes with a p-value being less than 0.05 and Student’s t-test. Finally, a discriminant analysis was performed separately for the right and left maxillary sinuses. Results Males and females showed statistically significant variations in the length, width, and volume of the maxillary sinuses. Specifically, on the right side, males had longer maxillary sinuses than females (t = 5.6203, p < 0.0001). Meanwhile, on the left side, females had wider maxillary sinuses than males (t = 8.621, plt0.0001). In addition, males had greater volumes of maxillary sinuses on the right (t = 6.373, p < 0.0001) and left (t = 3.091, p < 0.0001) sides than females. The results of the discriminant analysis showed that the left width parameter had the highest accuracy of sex estimation (74.21%), followed by the Right Length (70.07%) and left volume (66.66%) parameters. The left height parameter had the lowest accuracy of sex estimation (49.37%). Conclusion In forensic odontology, the volume of maxillary sinus can serve as a valid radiographic indicator of sex estimation.

Publisher

PeerJ

Reference40 articles.

1. CT Scan images analysis of maxillary sinus dimensions as a forensic tool for sexual and racial detection in a sample of kurdish population;Ahmed;European Scientific Journal,2015

2. The diagnostic value of anthropometric indices of maxillary sinuses for sex determination using CT-scan images in Iranian adults: a cross-sectional study;Akhlaghi;Journal of Forensic and Legal Medicine,2017

3. 3D Evaluation of maxillary sinus using computed tomography: a sexual dimorphic study;Bangi;International Journal of Dentistry,2017

4. Estimation of sex from metatarsals using discriminant function and logistic regression analyses;Bidmos;Australian Journal of Forensic Sciences,2021

5. Forensic anthropology: developments of a classical discipline in the new millennium;Cattaneo;Forensic Science International,2007

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