Thickness Corrected Translucency Measurement-An Efficient Tool in Age Estimation Yellapurkar Shweta1, Srikant N2,*, Kotian Ravindra3, Naik Dilip G4, Boaz Karen5, Nandita KP6, Manaktala Nidhi7 1Assistant Professor, Department of Oral Pathology and Microbiology, Manipal College of Dental sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India 2Professor and Head, Department of Oral Pathology and Microbiology, Manipal College of Dental sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India 3Associate Professor, Department of Dental Materials, Manipal College of Dental sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India 4Professor, Department of Periodontics, Manipal College of Dental sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India 5Professor, Department of Oral Pathology, Manipal College of Dental sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India 6Associate Professor, Department of Oral Pathology, Manipal College of Dental sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India 7Reader, Department of Oral Pathology, Manipal College of Dental sciences, Mangalore, Manipal Academy of Higher Education, Manipal, India *Corresponding Author: Dr. Srikant N. Professor and Head, Department Of Oral Pathology and Microbiology, Manipal College of Dental sciences, Mangalore-575001, Manipal Academy of Higher Education, Manipal-576104, India Email: srikant.n@manipal.edu
Online published on 27 November, 2019. Abstract Dentinal translucency is an established histological parameter for age estimation. Thickness of a ground section is a confounding agent for translucency assessment. The aim of the present study was to assess the interaction of thickness with predictive ability of translucency area/length/grey value for age. Ground sections were prepared of 50 extracted teeth (of known age/gender), thickness was measured, and the scanned image was assessed for area/length of translucency using image-J-v1.50. Simple linear regression analysis was used to correlate age with translucency parameters with thickness as an interaction variable. Translucency length was a better predictor of age than area. The equation with translucency length, average thickness and mean grey value was seen to have the best correlation with age (r =0.708, SEE = 13.346 years). Age estimation using dentinal translucency is feasible and is unaffected by size of the tooth but is influenced by the thickness of the ground section. Top Keywords Dentinal translucency, mean grey value, age estimation, ground section, area of translucency. Top |