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RESEARCH ARTICLE
Year : 2012  |  Volume : 24  |  Issue : 4  |  Page : 280-283

Identification of sex using lateral cephalogram: Role of cephalofacial parameters


1 Assistant Professor, Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal University, Mangalore, Karnataka, India
2 Professor, Department of Oral Medicine and Radiology, NIS Ramaiah Dental College and Hospital, Bengaluru, Karnataka, India

Correspondence Address:
Almas Binnal
Assistant Professor, Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal University, Mangalore, Karnataka
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.5005/jp-journals-10011-1313

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Introduction: Recognition of sex is an important aspect of identification of an individual. Apart from pelvis, skull exhibits highest sexual dimorphism in the human body- Lateral cephalograms are an invaluable tool in identification of sex as they reveal architectural and morphological details of the skull on a single radiograph- The equipment required for lateral cephalometry is readily available and the technique is cost-effective, easy to perform, offers quick results, reproducible and can be implemented in any special training for the forensic examiner. The present study was undertaken to evaluate the role of lateral cephalograms and the nine cephalometric variables in the identification of sex and also to derive a discriminant function equation for identification of sex. Materials and methods: A total of 100 lateral cephalograms were taken of 50 male and 50 female subjects aged between 25 and 54 years belonging to South Indian population. The nine derived cephabmetnc parameters were used to arrive at a discriminant function equation which was further assessed for its reliability among the study subjects. Results: Among nine cephalometric parameters used, seven were reliable in the identification of sex. The derived discriminant function equation accurately identified 88% of the male study subjects as males and 84% of the female subjects as females. Conclusion: The lateral cephalograms and the nine cephalometric variables employed in the study are simple and reliable tools of sexual discrimination. The derived discriminant functional equation can be used to accurately identify sex of an individual belonging to South Indian population


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