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

dc.contributor.authorBertrand, Benoit
dc.contributor.authorVercauteren, Martine
dc.contributor.authorCunha, E
dc.contributor.authorBécart, Anne
dc.contributor.authorGosset, Didier
dc.contributor.authorHédouin, Valery
dc.date.accessioned2022-10-11T16:10:48Z
dc.date.available2022-10-11T16:10:48Z
dc.date.issued2022
dc.description.abstractIt 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBertrand, B., Vercauteren, M., Cunha, E., Bécart, A., Gosset, D., & Hédouin, V. (2022). Automated age‐at‐death estimation by cementochronology: Essential application or additional complication? American Journal of Biological Anthropology, 179(2), 314–326pt_PT
dc.identifier.doi10.1002/ajpa.24612pt_PT
dc.identifier.issn2692-7691
dc.identifier.urihttp://hdl.handle.net/10400.26/41904
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAge-at-deathpt_PT
dc.subjectAutomationpt_PT
dc.subjectCementochronologypt_PT
dc.subjectDental cementumpt_PT
dc.titleAutomated age‐at‐death estimation by cementochronology: Essential application or additional complication?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceHoboken, NJ ( US)pt_PT
oaire.citation.endPage326pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage314pt_PT
oaire.citation.titleAmerican Journal of Biological Anthropologypt_PT
oaire.citation.volume179pt_PT
person.familyNameBertrand
person.familyNameCunha
person.givenNameBenoit
person.givenNameEugénia
person.identifierhttps://scholar.google.pt/citations?user=HSGHLA0AAAAJ&hl=en
person.identifier.ciencia-idE717-5464-E13B
person.identifier.orcid0000-0001-7640-6929
person.identifier.orcid0000-0003-2998-371X
person.identifier.scopus-author-id56124892900
person.identifier.scopus-author-id190305008042
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0a013317-bb62-49d3-a468-f27d86a1bf70
relation.isAuthorOfPublication32c59c7d-e7f2-4023-91a0-677db952e161
relation.isAuthorOfPublication.latestForDiscovery0a013317-bb62-49d3-a468-f27d86a1bf70

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