Journal of Research and Advancement in Dentistry
Official publication of Magadh University and Kolhan University, Government of Bihar and Jharkhand, India
Official publication of Magadh University and Kolhan University, Government of Bihar and Jharkhand, India
Year : 2018
Volume : Volume 9
Issue : Issue 1
Address for correspondence :
Dr. Akilahmed A. Kureshi.
researchguide86@gmail.com
Background: Sex determination and age estimation play an important role in forensic and anthropological science. For sex and age determination, there are two methods mainly 1) morphological and 2) laboratory method. Radiological techniques are morphological technique. Skull being a most stable part of the skeleton, details of the skull can be studied by lateral cephalograms. The study included 5 five linear cephalometric variables i.e. S-N, N-ANS, ANS- PNS, Co-Gn and ANS-Me for sex determination and age estimation. Materials and methods: The study consisted of 84 Gujarati, Indian subjects comprising of 44 males and 40 females in the age range of 16-30 years. From the lateral cephalograms, 5 linear variables were taken and subjected to discrimination analysis for sex determination and regression analysis for age estimation. One way ANOVA was performed between the two sexes to see the age variation among the 3 age groups. Results: In the present study, out of 5 linear cephalometric variables, 4 variables were highly significant (p<0.05) for sexual dimorphism except Co- Gn. For discrimination of sex, S-N was the most significant discriminator of sex (53.88%) while ANS-Me was least significant (7.2%). The derived discriminant function equation showed accuracy of 84.09% and 90% respectively in identification of males and females. One way ANOVA showed that S-N and N-ANS were highly significant variables among the 3 age groups for both the sexes. Regression analysis showed accurate age estimation between 16-25 years while discrepancy of 3 years or less in the age group of 26-30 years. Conclusion: The lateral cephalograms are simple and accurate tool for sex determination and age estimation in contrast to costly and time consuming laboratory procedures. Also it can discriminate accurately between the two sexes. Keywords: Lateral cephalogram, sexual dimorphism, Age estimation, One Way ANOVA.
