Automated age‐at‐death estimation by cementochronology: Essential application or additional complication?

• Autor(a) principal: Bertrand, Benoit
• Data de Publicação: 2022
• Outros Autores: Vercauteren, Martine, Cunha, E, Bécart, Anne, Gosset, Didier, Hédouin, Valery
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.26/41904; https://doi.org/10.1002/ajpa.24612
• topic: Age-at-death; Automation; Cementochronology; Dental cementum

It has been repeatedly acknowledged that age-at-death estimation based on dentalcementum represents a partial and time-consuming method that hinders adoptionof this histological approach. User-friendly micrograph analysis represents a grow-ing request of cementochronology. This article evaluates the feasibility of using amodule to accurately quantify cementum deposits and compares the module's per-formance to that of a human expert. On a dental collection (n=200) of known-ageindividuals, precision and accuracy of estimates performed by a developed pro-gram (101 count/tooth;n=20,200 counts) were compared to counts performedmanually (5 counts/tooth;n=975 counts). Reliability of the software and agree-ment between the two approaches were assessed byintraclass correlation coeffi-cient and Bland Altman analysis. The automated module produced reliable andreproducible counts with a higher global precision than the human expert. Althoughthe software is slightly more precise, it shows higher sensitivity to taphonomic dam-ages and does not avoid the trajectory effect described for age-at-death estimationin adults. Likewise, for human counts, global accuracy is acceptable, but underestima-tions increase with age. The quantification of the agreement between the twoapproaches shows a minor bias, and 94% of individuals fall within the intervals ofagreement. Automation gives an impression of objectivity even though the region ofinterest, profile position and parameters are defined manually. The automated systemmay represent a time-saving module that can allow an increase in sample size, whichis particularly stimulating for population-based studies.