|Journal||17th International Symposium on Dental Morphology (ISDM) & 2nd congress of International Association for Paleodontology (IAPO)|
|Authors||Modesto Mata, Mario; García-Campos, Cecilia; Martín Francés, Laura; Martínez de Pinillos, Marina; García-González, Rebeca; Quintino, Yuliet; Martinón-Torres, María; Dean, Christopher; Bermúdez de Castro, José María|
Estimating enamel formation times and enamel extension rates requires the preservation of an unworn crown. Only in unworn teeth can the total perikymata number be counted along the whole crown height and the total thickness of cuspal enamel be measured. However, the methods described in the literature for accurately reconstructing the cuspal outline of slightly worn teeth have not so far been validated. Our aim here is to generate a validated methodology in order to reconstruct the cuspal outline of slightly worn teeth by employing regression equations with defined margins of error. Our sample comprises European and African origin. Standardized microCT slices were obtained for every unworn tooth type. Tooth-specific polynomial regressions were then generated by defining landmarks and semilandmarks superimposed on the unworn outer cuspal enamel outline. A number of tooth cusps were then virtually worn away and subsequently reconstructed by employing the data collected for each specific tooth type using predictions from the regression equations. Estimated crown heights were less than 10% different with regard to their real values in all tooth types. This information allows us to estimate the number of perikymata that might have been lost in the cuspal area more precisely using existing data for density, or perikymata packing, patterns. This methodology allows the reconstruction of cuspal enamel in modern human teeth that are slightly worn enabling the accurate assessment of the original cuspal enamel thickness, crown height and the number of perikymata lost through wear. Future studies aim to increase the robusticity of this method with the inclusion of larger sample sizes. This method can be also potentially applied to other extant or extinct human populations.