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New systems for dental maturity based on seven and four teeth
Abstract
An updated system for estimating dental maturity is presented. It extends the original system (Demirjian et al., 1973) based on radiographs of 7 teeth by including two extra stages, and by enlarging the standardizing sample to include 2407 boys and 2349 girls. Percentile standards from ages 2-5 to 17-0 years are presented separately for boys and girls. Scoring systems and percentile standards are presented for two different sets of 4 teeth and a comparison of all three systems is made. It is suggested that these systems may measure somewhat different aspects of dental maturity.
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Citations
Cited by
Accuracy of age estimation of radiographic methods using developing teeth
Maber, M., Liversidge, H. M., & Hector, M. P. (2006) · Forensic Science International · doi:10.1016/j.forsciint.2006.02.019 · Cited by 441
Estimating the distribution of probable age‐at‐death from dental remains of immature human fossils
Shackelford, L. L., Stinespring Harris, A. E., & Konigsberg, L. W. (2012) · American Journal of Physical Anthropology · doi:10.1002/ajpa.21639 · Cited by 55
Metadata
- Authors
- Demirjian, A., & Goldstein, H.
- Venue
- Annals of Human Biology
- Publisher
- Informa UK Limited
- Published
- 1976-01
- Volume
- 3
- Issue
- 5
- Pages
- 411-421
- ISSN
- 0301-4460 (ISSN-L)
- 1464-5033
- OpenAlex
- W1992942866
- Cited by
- 614
- References
- 0
- FWCI
- 32.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: New systems for dental maturity based on seven and four teeth. https://app.cochat.ai/papers/10.1080/03014467600001671
- The paper
- Demirjian, A., & Goldstein, H. (1976). New systems for dental maturity based on seven and four teeth. Annals of Human Biology. https://doi.org/10.1080/03014467600001671
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.