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Methods to Classify Cytoplasmic Foci as Mammalian Stress Granules
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A geometrical method to classify face forms.

V Ashok1, Dhanraj Ganapathy1

  • 1Department of Prosthodontics, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.

Journal of Oral Biology and Craniofacial Research
|June 15, 2019
PubMed
Summary

This study introduces a new geometrical method for classifying face forms, improving upon subjective visual assessments. The findings suggest this photographic approach is effective and comparable to traditional clinical methods.

Keywords:
Angle of convergenceClassificationFace formGeometrical methodPhotographs

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Area of Science:

  • Dental prosthetics and facial morphology analysis.

Background:

  • Face form classification has been a cornerstone in prosthodontics for nearly a century, originating from Leon Williams' typal form theory.
  • Traditional methods, including clinical and photographic assessments, classify face forms into categories like square, tapering, square tapering, and ovoid.
  • Existing classification systems rely on subjective visual perception, necessitating the exploration of more objective analytical methods.

Purpose of the Study:

  • To critically analyze current face form classification systems.
  • To develop and validate a geometrical method for classifying face forms, aiming to reduce errors associated with subjective visual judgment.

Main Methods:

  • Investigated 200 subjects aged 18-25 using both clinical face form indicators and photographic methods.
  • Marked reference points on clinical indicators and photographs for precise face form classification.
  • Employed a novel geometrical approach analyzing the angle of convergence in facial photographs to classify face forms, expanding existing typologies.

Main Results:

  • A comparative analysis between clinical and photographic methods was conducted.
  • No statistically significant differences were observed between face forms classified by clinical and photographic methods (p > .05).

Conclusions:

  • A geometrical analysis of facial photographs offers an objective and effective alternative for face form assessment.
  • This photographic geometrical method can mitigate the inherent subjectivity and errors present in conventional clinical visual judgment methods.