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Technical note: Comparing dental topography software using platyrrhine molars.

James D Pampush1,2, Jordan Crowell3,4,5, Aleksis Karme6

  • 1Department of Exercise Science, High Point University, High Point, North Carolina.

American Journal of Physical Anthropology
|February 16, 2019
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Summary
This summary is machine-generated.

Software differences create variations in dental topography metrics. This study compares metrics from ArcGIS, Surfer Manipulator, and molaR, providing conversion formulas to enable cross-study comparisons of occlusal relief (OR) and other dental measurements.

Keywords:
ArcGISDNEOPCRangularitymolaRslope

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Area of Science:

  • Paleontology
  • Comparative Anatomy
  • Bioinformatics

Background:

  • Dental topography analysis is crucial for understanding diet and evolution.
  • Discrepancies in software used for dental topography analysis lead to inconsistent results.
  • Standardization is needed for reliable comparisons across studies.

Purpose of the Study:

  • To compare dental topography metrics calculated using different software packages.
  • To identify and quantify variations in measurements due to software differences.
  • To develop conversion formulas for harmonizing data from various software platforms.

Main Methods:

  • Calculated orientation patch count rotated (OPCR), Dirichlet normal energy (DNE), occlusal relief (OR), slope, and angularity using ArcGIS, Surfer Manipulator, and molaR.
  • Assessed distributional consistency and correlation of metrics across software.
  • Developed conversion formulas where appropriate.

Main Results:

  • Occlusal relief (OR), slope, and OPCR showed high correlation across software, but only OR demonstrated distributional consistency.
  • molaR yielded higher slope and OPCR values compared to ArcGIS and Surfer Manipulator.
  • Conversion formulas for slope and OPCR are provided; DNE showed weak correlation with angularity but correlated with OPCR.

Conclusions:

  • Software choice significantly impacts dental topography metrics, necessitating careful consideration.
  • Provided conversion formulas facilitate direct comparison of data across studies using different software.
  • Standardizing dental topography analysis promotes more robust and reproducible research in paleontology and comparative anatomy.