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Related Concept Videos

Teeth01:15

Teeth

The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin and...

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Updated: Jun 14, 2026

Systematic Assessment of Mammalian Skull Specimens for Dental and Temporomandibular Joint Pathology
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Interpreting group differences using Demirjian's dental maturity method.

H M Liversidge1

  • 1Queen Mary University of London, Barts & The London School of Medicine and Dentistry, Institute of Dentistry, Turner Street, London E1 2AD, United Kingdom. h.m.liversidge@qmul.ac.uk

Forensic Science International
|March 23, 2010
PubMed
Summary
This summary is machine-generated.

Demirjian's dental maturity method is not suitable for assessing population differences. Wide confidence intervals suggest variations in dental age scores do not reflect true biological differences between groups.

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Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
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Area of Science:

  • Forensic Anthropology
  • Pediatric Dentistry
  • Human Growth and Development

Background:

  • Demirjian's method is used for individual dental maturity assessment.
  • Group differences in dental age have been attributed to population variations.
  • This study investigates the validity of group adaptations of Demirjian's method.

Purpose of the Study:

  • To describe the variation in maturity score for age and age for maturity score using a large database.
  • To evaluate the appropriateness of adapting Demirjian's method for group assessments.
  • To discuss the implications of observed variations for population-level dental maturity studies.

Main Methods:

  • Utilized tooth stages from radiographs of 4710 males and 4661 females (aged 2-18).
  • Calculated dental maturity scores using Demirjian and Goldstein methods.
  • Analyzed mean, standard deviation, and confidence intervals for maturity and age scores.
  • Compared adapted maturity curves from 13 published studies with the database.

Main Results:

  • Most adapted curves (50th percentile) from global regions fell within the 95% confidence intervals of the database.
  • Studies with small sample sizes or poorly fitting curves showed deviations.
  • Wide confidence intervals for maturity and age scores suggest limited biological significance for population differences.
  • Few studies provide adequate statistics for comparing individual tooth maturation.

Conclusions:

  • Demirjian's dental maturity method is inappropriate for assessing population differences in dental maturity.
  • Adapting Demirjian's scores for different child groups is likely unnecessary.
  • Observed group differences in dental maturity scores may not reflect true biological variations at the population level.