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Related Concept Videos

Teeth01:15

Teeth

431
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...
431

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Updated: Jul 5, 2025

A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
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Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using

Meghna Gohain1, Muhammad Khan Asif2, Phrabhakaran Nambiar3

  • 1Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia.

Legal Medicine (Tokyo, Japan)
|January 11, 2024
PubMed
Summary

Three-dimensional surface area analysis of developing maxillary second premolars accurately estimates age in Malaysian children. This method offers a reliable tool for forensic and clinical age determination.

Keywords:
Age estimationCone-beam computed tomographyForensic odontologyMalaysianRoot apicesThree-dimensional

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Area of Science:

  • Forensic Anthropology
  • Dental Age Estimation

Background:

  • Three-dimensional (3D) surface area analysis of developing root apices shows promise for age estimation.
  • Accurate age assessment is crucial in forensic and clinical contexts.

Purpose of the Study:

  • To develop and validate a 3D regression model for age estimation in Malaysian children (7-14 years).
  • To utilize developing maxillary second premolars for this age estimation model.

Main Methods:

  • Analysis of 155 cone-beam computed tomography (CBCT) scans for model training and 92 scans for validation.
  • Regression modeling incorporating root surface area, sex, ethnicity, and root development status.

Main Results:

  • A strong correlation (94%) was found between chronological age and predictor variables.
  • The model explained 88.4% of age variation (excluding sex and ethnicity).
  • A mean absolute error of 0.42 indicates high reliability for Malaysian children.

Conclusions:

  • 3D surface area analysis of developing root apices is a valuable tool for age estimation.
  • The developed regression model is reliable for estimating age in Malaysian children.
  • Further research is recommended to assess effectiveness across diverse demographic groups.