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1.
J Forensic Odontostomatol ; 18(1): 1-5, 2000 Jun.
Article in English | MEDLINE | ID: mdl-11324086

ABSTRACT

Sclerosis of dentine has become one of the well established indicators of ageing and age determination. In this study a new technique was reported where a photomicrographic image of a cross section of sclerotic dentine was converted to a grey scale of 256 tones and then reduced to black and white and read by computer using specially developed software. A regression analysis was applied to a sample of 62 teeth (age range 17-84 years) and an age determination within an error limit of 11 years was obtained. Using a Neural Network software however the error was reduced to 8 years.


Subject(s)
Age Determination by Teeth/methods , Adolescent , Adult , Aged , Aged, 80 and over , Dentin, Secondary/anatomy & histology , Female , Humans , Male , Middle Aged , Neural Networks, Computer , Photomicrography , Regression Analysis , Reproducibility of Results
2.
J Clin Forensic Med ; 6(2): 85-9, 1999 Jun.
Article in English | MEDLINE | ID: mdl-15335496

ABSTRACT

Age determination by teeth examination is one of the main means of determining personal identification. Current studies have suggested different techniques for determining the age of a subject by means of the analysis of microscopic and macroscopic structural modifications of the tooth with ageing. The histological approach is useful among the various methodologies utilized for this purpose. It is still unclear as to what is the best technique, as almost all the authors suggest the use of the approach they themselves have tested. In the present study, age determination by means of microscopic techniques has been based on the quantitative analysis of three parameters, all well recognized in specialized literature: 1. dentinal tubules density/sclerosis 2. tooth translucency 3. analysis of the cementum thickness. After a description of the three methodologies (with automatic image processing of the dentinal sclerosis utilizing an appropriate computer program developed by the authors) the results obtained on cases using the three different approaches are presented, and the merits and failings of each technique are identified with the intention of identifying the one offering the least degree of error in age determination.

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