Title
Comparative evaluation of first molar odontometry and mandibular measurements technique for gender determination
Authors
Sanjeet Singh*, Ruby Singh, Paramjit Singh, Kanika Sharma, Rumaisa Pandit & Priti Rawat
Affiliation
Department of Oral Pathology & Microbiology, DJ College of Dental Sciences & Research, Modi Nagar, Uttar Pradesh, India; *Corresponding author
Sanjeet Singh - E-mail: drsanjsingh@gmail.com; Phone: +91 9997071335
Ruby Singh - E-mail: rubysingh7k@gmail.com; Phone: +91 7983419253
Paramjit Singh - E-mail: drparamjit23@gmail.com; Phone: +91 9720788357
Kanika Sharma - E-mail: kanikasharma41@yahoo.co.in; Phone: +91 9756755394
Rumaisa Pandit - E-mail: rumaisajk@gmail.com; Phone: +91 6005385350
Priti Rawat - E-mail: pritiprashant0219@gmail.com; Phone: +91 9818981661
Article Type
Research Article
Date
Received April 1, 2026; Revised April 30, 2026; Accepted April 30, 2026, Published April 30, 2026
Abstract
Forensic odontology leverages durable teeth and mandibular structures to estimate sex in mass disasters and criminal investigations, yet optimal measurement approaches remain underexplored. Therefore, it is of interest to compare linear (mesiodistal, buccolingual) and diagonal (mesiobuccal-dentilingual, distobuccal-mesiolingual) odontometric dimensions of mandibular first molars and ramus morphometry on OPGs in 140 Indian adults (70 males, 70 females; 18-35 years). Males exhibited larger values across parameters; diagonal odontometry showed the highest dimorphism (9.93% ML-DB36) and accuracy (95% logistic regression) versus linear (80%, buccolingual best) and ramus measures (65.7% max, coronoid/condylar heights optimal). Diagonal measurements outperformed linear and ramus parameters, challenging traditional approaches to mandibular sex assessment. Thus, diagonal odontometry is superior (95% accuracy) for Indian populations, suggesting multimodal 3D validation for global applicability.
Keywords
Forensic odontology, sexual dimorphism, diagonal odontometry, linear odontometry, orthopantomograms
Citation
Singh et al. Bioinformation 22(4): 2196-2200 (2026)
Edited by
Vini Mehta
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
