Abstract
Dental age estimation is important in both comparative and reconstructive
forensic identification, where chronological age is either unknown or deliberately
hidden or forged due to criminal, civil or legal disputes. Age estimation is possible
right from prenatal life to early postnatal, childhood, adolescent and adult age, but the
methods or principles differ in implementation. While the developmental stages of
teeth are important to assess age in a young life, the morphologic changes after the
complete development of teeth or third molar indices become important in adulthood.
This chapter classifies different methods used in dental age determination, including
visual, radiographic, physical, histologic, biochemical, and morphologic changes, in
different age groups and gives a diagrammatic representation for ease of understanding.
The evolution of atlas/chart methods for developing teeth has been explained in detail,
including the conventional Schour and Massler chart to the contemporary London atlas
method. Additionally, an overview of the more objective scoring methods, including
Demirjian and its modifications, comprehensive DAEcc charts, Camariere methods,
etc., is also given. This chapter also entails the most recent advances in age estimation
techniques, including 3-D CBCT/micro-CT volumetric assessments and automated age
estimation programs, along with the current use of artificial intelligence (AI) in the
segmentation of radiographic images of teeth for greater accuracy and automation. The
comprehensiveness of this chapter is established by the inclusion of dental age
estimation in special situations of craniofacial abnormalities, archeology or fossil
evidence. Towards the end, it also highlights the importance of using more than one
age estimation method while preparing a forensic age estimation report or in research,
also mentioning the error rate in each method.
Keywords: Age estimation charts, Artificial intelligence, Dental age stimation, DAE, Forensics.