Sep 2026· Journal of Clinical and Diagnostic Research· 0 citations
TL;DR
The CBCT imaging of the maxillary and sphenoidal sinuses provides valuable morphometric data that can aid in forensic identification, and demonstrate measurable differences across age and gender, supporting their utility as supplementary tools in forensic profiling.
Abstract
Introduction: Age and gender estimation are fundamental in forensic identification, especially in crime investigation, cases of mass disasters and unidentified body remains. Paranasal sinuses, especially maxillary and sphenoidal, are unique, durable, and sexually dimorphic and well-protected within skull, resistant to trauma and decomposition. Cone Beam Computed Tomography (CBCT) enables precise Three-dimensional (3D) morphometric analysis of these anatomical structures, making them valuable markers for forensic age and gender determination.
Aim: To evaluate the morphological (volumetric) characteristics of the maxillary and sphenoidal sinuses using CBCT to assess their potential in forensic age and gender estimation.
Materials and Methods: The present Institutional-based retrospective study was conducted between September 2025 to November 2025 on CBCT archives from Department of Oral Medicine and Radiology, K M Shah Dental College and Hospital, Sumandeep Vidyapeeth (Deemed to be University), Vadodara, Gujarat, India. CBCT Digital Imaging and Communications in Medicine (DICOM) files of maxilla/both arches covering maxillary and sphenoidal sinus was selected for analysis. Total CBCT scans of 142 individuals aged 21-75 years were analysed and volumetric measurements of bilateral maxillary and sphenoidal sinus were recorded by semi-automatic segmentation method using 3D Slicer software and statistically analysed to determine correlations with age and gender. Inclusion and exclusion criteria were strictly applied to ensure sample consistency. For statistical analysis Chi-square test, Mann-Whitney, KruskalWallis tests and Logistic regression analysis were done, p-values less than 0.05 were regarded as statistically significant.
Results: Significant variations in sinus dimensions were observed between different genders and age groups. The median volumes of the maxillary sinus (males: 13,574.75 mm³; females: 11,210.30 mm³) and the sphenoidal sinus (males: 4,918.71 mm³; females: 4,017.23 mm³) were significantly greater in males than in females, with p-values of 0.023 and 0.02, respectively. Correlation analysis revealed a statistically significant (p-value <0.05) negative association between age and sinus volume, with advancing age linked to reduced volumes in the bilateral maxillary sinuses and the right sphenoidal sinus.
Conclusion: The CBCT imaging of the maxillary and sphenoidal sinuses provides valuable morphometric data that can aid in forensic identification. These anatomical structures demonstrate measurable differences across age and gender, supporting their utility as supplementary tools in forensic profiling.
Regression analysis demonstrated that selected maxillary and sphenoid sinus parameters contributed significantly to age estimation, and right sphenoid sinus volume demonstrated the highest predictive accuracy for sex estimation.
D. V, Poongodi V, A. R. et al.· International Journal of Dru...· 0 citations
CBCT-derived mandibular ramus measurements showed significant sexual dimorphism with 78% accuracy for gender determination, however, ramus height demonstrated a weak, non significant association with age, limiting its value for age estimation in the studied population.
D. Bhairavi, Mahendra Raj, T. Saravanan et al.· Journal of Clinical and Diag...· 0 citations
Background/Objectives: This study aimed to characterize the three-dimensional morphology of the aerated maxillary sinus using CT-based air-cavity reconstruction and to evaluate its relationship with selected morphometric parameters, septa characteristics, bilateral symmetry, and dental root extension. Methods: This ret...
Pelin Ismailoglu, Alp Bayramoğlu, Tuğba Yemiş et al.· Journal of Clinical Medicine· 0 citations
The results support the concept that the sphenoid sinus possesses sufficient individuality and anatomical preservation to enable reliable ante-mortem and post-mortem identification and highlight the potential of integrating automated segmentation and AI-driven 3D analysis into forensic workflows.
V. Alekseeva, Marcus Krüger, Florian Zwicker et al.· Electronics· 0 citations
The present study aimed to evaluate the developmental morphometry of the paranasal sinuses using computed tomography (CT) in subjects aged 1-25 years and to characterize age-related changes in sinus dimensions, volume, and surface area throughout childhood, adolescence, and young adulthood. This retrospective CT-based...
Ceyda Şevval Çetin, A. Artaş, Ali Atadağ et al.· Clinical anatomy (New York,...· 0 citations
Maxillary sinus involvement follows pathology-specific epidemiological and clinical patterns rather than random distribution, and provides clinically relevant insights that may contribute to improved diagnostic assessment and interdisciplinary treatment planning in maxillofacial and dental practice.
Algen Isufi, Irina Isufi, A. Meto et al.· European Journal of Dentistr...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.