A comparative analysis of sphenoid and frontal sinuses using cone beam computed tomography for sex determination

Junaid Ahmed, Namrata, Nanditha Sujir, Nandita Shenoy, Srikant Natarajan, Archana Muralidharan, Ashwin C. Shetty

Research output: Contribution to journalArticlepeer-review


Objectives: This study aimed to evaluate linear measurements of the frontal sinus (FS) and sphenoid sinus (SS) for sex identification on cone beam computed tomography (CBCT) images. Methods: A comparative CBCT analysis was conducted on 200 full field of view (FOV) scans taken as part of routine dental investigations. Dimensions of the bilateral frontal and sphenoid sinuses were measured. Intra- and interobserver reliability were calculated. Independent t tests were used to compare the various parameters between sexes. Stepwise discriminant function analysis was used to determine sex. Additionally, the receiver operating characteristic (ROC) curve, area under the curve (AUC), sensitivity, and specificity were also determined. A p value < 0.05 was considered significant. Results: A total of 200 CBCT scans were included in the study. The mean age (±SD) among males was 25.66 (±7.11) and that among females was 24.64 (±5.12). The ROC curve revealed that the right length of the frontal sinus showed the greatest accuracy in sex identification in comparison to other linear measurements of the FS and SS. The results of our study indicated that the equation obtained from stepwise discriminant function analysis can aid in sex determination with an accuracy of 76.5 %. Conclusion: Our findings support the sexual dimorphism of linear measurements of FS and SS. There was an improvement in the accuracy of sex prediction when the linear measurements of FS and SS were considered in combination rather than in isolation. The derived equation can be an adjunctive tool for sex identification for the representative population.

Original languageEnglish
Pages (from-to)478-483
Number of pages6
JournalJournal of Oral Biology and Craniofacial Research
Issue number4
Publication statusPublished - 01-07-2024

All Science Journal Classification (ASJC) codes

  • Otorhinolaryngology
  • General Dentistry


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