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A geometric morphometric approach to the study of variation of shovel‐shaped incisors
Author(s) -
Carayon Delphine,
Adhikari Kaustubh,
Monsarrat Paul,
Dumoncel Jean,
Braga José,
Duployer Benjamin,
Delgado Miguel,
FuentesGuajardo Macarena,
de Beer Frikkie,
Hoffman Jakobus W.,
Oettlé Anna C.,
Donat Richard,
Pan Lei,
RuizLinares Andres,
Tenailleau Christophe,
Vaysse Frédéric,
Esclassan Rémi,
Zanolli Clément
Publication year - 2019
Publication title -
american journal of physical anthropology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.146
H-Index - 119
eISSN - 1096-8644
pISSN - 0002-9483
DOI - 10.1002/ajpa.23709
Subject(s) - computer science , orthodontics , complement (music) , artificial intelligence , context (archaeology) , computer vision , medicine , biology , paleontology , biochemistry , complementation , gene , phenotype
Objectives The scoring and analysis of dental nonmetric traits are predominantly accomplished by using the Arizona State University Dental Anthropology System (ASUDAS), a standard protocol based on strict definitions and three‐dimensional dental plaques. However, visual scoring, even when controlled by strict definitions of features, visual reference, and the experience of the observer, includes an unavoidable part of subjectivity. In this methodological contribution, we propose a new quantitative geometric morphometric approach to quickly and efficiently assess the variation of shoveling in modern human maxillary central incisors (UI1). Materials and methods We analyzed 87 modern human UI1s by means of virtual imaging and the ASU‐UI1 dental plaque grades using geometric morphometrics by placing semilandmarks on the labial crown aspect. The modern human sample was composed of individuals from Europe, Africa, and Asia and included representatives of all seven grades defined by the ASUDAS method. Results Our results highlighted some limitations in the use of the current UI1 ASUDAS plaque, indicating that it did not necessarily represent an objective gradient of expression of a nonmetric tooth feature. Rating of shoveling tended to be more prone to intra‐ and interobserver bias for the highest grades. In addition, our analyses suggest that the observers were strongly influenced by the depth of the lingual crown aspect when assessing the shoveling. Discussion In this context, our results provide a reliable and reproducible framework reinforced by statistical results supporting the fact that open scale numerical measurements can complement the ASUDAS method.