Age estimation in adults by dental imaging assessment systematic review

Talia Yolanda Marroquin Penaloza, S. Karkhanis, S. I. Kvaal, S. Vasudavan, E. Kruger, M. Tennant

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)


Importance The need to rely on proper, simple, and accurate methods for age estimation in adults is still a world-wide issue. It has been well documented that teeth are more resistant than bones to the taphonomic processes, and that the use of methods for age estimation based on dental imaging assessment are not only less invasive than those based on osseous analysis, but also have shown similar or superior accuracy in adults. Objectives To summarise the results of some of the recently most recently cited methods for dental age estimation in adults, based on odontometric dental imaging analysis, to establish which is more accurate, accessible, and simple. Evidence review A literature search from several databases was conducted from January 1995 to July 2016 with previously defined inclusion criteria. Conclusion Based on the findings of this review, it could be possible to suggest pulp/tooth area ratio calculation from first, upper canines and other single rooted teeth (lower premolars, upper central incisors), and a specific statistical analysis that considers the non-linear production of secondary dentine with age, as a reliable, easy, faster, and predictable method for dental age estimation in adults. The second recommended method is the pulp/tooth width–length ratio calculation. The use of specific population formulae is recommended, but to include data of individuals from different groups of population in the same analysis is not discouraged. A minimum sample size of at least 120 participants is recommended to obtain more reliable results. Methods based on volume calculation are time consuming and still need improvement.

Original languageEnglish
Pages (from-to)203-211
Number of pages9
JournalForensic Science International
Publication statusPublished - 1 Jun 2017


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