2019
DOI: 10.1002/ajpa.23797
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Technical note: Comparing dental topography software using platyrrhine molars

Abstract: Objectives: There remain many idiosyncrasies among the values calculated for varying dental topography metrics arising from differences in software preferences among research groups.The aim of this work is to compare and provide potential conversion formulae for dental topography metrics calculated using differing software platforms. Methods: Three software packages: ArcGIS, Surfer Manipulator, and molaR were used to calculate orientation patch count rotated (OPCR), Dirichlet normal energy (DNE), occlusal reli… Show more

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Cited by 10 publications
(11 citation statements)
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“…[15] followed the protocol put forth by [9,35], which utilized raster-based grid data, essentially making the tooth 2.5D, and here, OPCR was calculated using a 3D polygonal mesh [12]. These results confirm the conclusions of [16,36,37], that OPCR values gathered with these two methodologies are not directly comparable.…”
Section: Discussionsupporting
confidence: 61%
“…[15] followed the protocol put forth by [9,35], which utilized raster-based grid data, essentially making the tooth 2.5D, and here, OPCR was calculated using a 3D polygonal mesh [12]. These results confirm the conclusions of [16,36,37], that OPCR values gathered with these two methodologies are not directly comparable.…”
Section: Discussionsupporting
confidence: 61%
“…For example, DNE, 41 angularity, 40 and curvature 43 all measure tooth curviness/sharpness, but differences in the mathematics behind these metrics mean that values cannot be interchanged, with the correlation between variable being potentially extremely weak (e.g., in platyrrhines, DNE and angularity are weakly linearly correlated, p = .018, r 2 = 0.043). 56 While several methods exist for measuring the same aspect of dental morphology, it is difficult to pick the "best" metric for quantifying a distinct aspect of dental morphology, as the relationship between dental shape quantified through dental topography and diet can vary between clades. 6 For example, DNE is effective at differentiating molars of folivorous from frugivorous platyrrhines, 6 but angularity is not.…”
Section: Comparability Of Topographic Metricsmentioning
confidence: 99%
“…Most topographic metrics are sensitive to data acquisition and processing 41,42,49,52,56,73,74 (Box 3). Due to time constraints, sensitivity studies generally investigate the effect of one or two parameters (e.g., triangle count, 42,73 smoothing, 10,49 cropping 41,75 ) on one tooth.…”
Section: Sensitivity To Data Acquisition and Processingmentioning
confidence: 99%
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