Canine sexual dimorphism in crown and root dimensions: a cone-beam computed tomographic study

Canine tooth crown and root dimension for sex dimorphism

Authors

  • Mohammad Tajik Department of Oral and Maxillofacial Radiology, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran
  • Najmeh Movahhedian Department of Oral and Maxillofacial Radiology, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

The primary step in forensic odontological analysis is sex determination. The present study is one of the few studies that evaluated the accuracy of the combination of canine tooth root length and crown measurements for sex determination. The study sample comprised 196 cone-beam computed tomographic scans of individuals aged 20-80 years distributed in five age categories: 20-29, 30-39, 40-49, 50-59, and 60+ years old. Different parameters, such as width, length, and ratio measurements for the crown and root of each maxillary and mandibular canine tooth, were examined and recorded. The findings indicated that maxillary canines had greater sex dimorphism ability (87.3%) than mandibular canines (80.6%). Total tooth length and root length of maxillary canine were the most pronounced variables in the differentiation of sex groups. When the combination of the mandibular and maxillary measurements was considered, the accuracy for sex dimorphism was 85.7%. By using ratio variables, the accuracy was reduced to 68.9%. According to the findings of this study, total tooth length and root length are the most discriminant variables of canine teeth. These variables are more reliable sex indicators than crown measurements.

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Published

2024-05-02

How to Cite

Tajik, M., & Movahhedian, N. (2024). Canine sexual dimorphism in crown and root dimensions: a cone-beam computed tomographic study: Canine tooth crown and root dimension for sex dimorphism. The Journal of Forensic Odonto-Stomatology - JFOS, 42(1), 12:21. Retrieved from https://ojs.iofos.eu/index.php/Journal/article/view/1746

Issue

Section

Identification