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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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Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
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A quantitative method for comparing human dentition with tooth marks using three-dimensional technology and geometric

Stella Martin-de-Las-Heras1, Daniel Tafur, Manuel Bravo

  • 1Department of Forensic Medicine and Forensic Odontology.

Acta Odontologica Scandinavica
|August 27, 2013
PubMed
Summary

A new quantitative method using geometric morphometric analysis effectively compares 3D dental casts and bitemarks. This forensic tool demonstrates significant discriminative power for identifying matches in legal cases.

Keywords:
Forensic dentistrybitemarksgeometric morphometriclogistic regressionthree-dimensional

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Area of Science:

  • Forensic odontology
  • Biometric analysis
  • Geometric morphometrics

Background:

  • Accurate comparison of dental evidence is crucial in forensic investigations.
  • Existing methods for comparing dental casts and bitemarks may lack quantitative precision.

Purpose of the Study:

  • To develop and validate a quantitative method for comparing 3D dental cast overlays with experimental bitemarks.
  • To assess the discriminative power of geometric morphometric analysis in forensic odontology.

Main Methods:

  • Three-dimensional scanning of 13 dental casts and simulated bitemarks.
  • Utilizing DentalPrint software for overlay generation and analysis of inter-canine distance and incisal angles.
  • Applying logistic regression to create a predictive model and calculating discriminative values (ROC curves, sensitivity, specificity).

Main Results:

  • All analyzed variables (distance, angles, and logistic model) showed statistically significant discriminative power.
  • Area under the ROC curves and sensitivity/specificity values exceeded 0.50 and 50%, respectively, for both maxillary and mandibular analyses.
  • The developed quantitative method proved effective in distinguishing true matches from non-matches.

Conclusions:

  • The developed quantitative geometric morphometric method possesses sufficient discriminative power for forensic applications.
  • This approach offers a reliable tool for objective comparison of dental evidence in legal investigations.