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The off-season of dental cementum investigations. A critical appraisal of season-of-death prediction in medico-legal investigations

datacite.subject.fosCiências Naturais::Ciências Biológicas
dc.contributor.authorBenoit Bertrand
dc.contributor.authorKaddoura, Ahmad
dc.contributor.authorCunha, Eugénia
dc.contributor.authorBécart, Anne
dc.contributor.authorGosset, Didier
dc.contributor.authorHédouin, Valery
dc.contributor.authorMarques, Carina
dc.date.accessioned2026-01-12T17:09:25Z
dc.date.available2026-01-12T17:09:25Z
dc.date.issued2025
dc.description.abstractIt has been suggested that death seasonality could be estimated based on the dark/ bright appearance of the outermost dental cementum deposit. The few existing studies show variable accuracy rates. The question whether estimating season-of-death based on dental cementum represents a realistic and achievable goal can arise. This work, based on a softwareassisted procedure and direct human observation, aims to critically evaluate the applicability of dental cementum to estimate the season-of-death in forensic anthropology. The sample consists of 20 canines from individuals belonging to the 21st century Identified Skeletal Collection, University of Coimbra, Portugal, and with documented biodemographic data. Fifty percent of the individuals died during the summer and 50% during the winter. Five non-decalcified 100 mm cross-sections per tooth were prepared, using a standardized protocol. Images of the region of interest, with the acellular cementum, were captured, and imported into FIJI/ImageJ software. Performance of the season-of-death predictions was very low, with 50% accuracy, score of 0.0000 for Matthews Correlation Coefficient, and F1-score of 61.5% for Summer and 28.6% for Winter, were obtained for the observer assessment. For the software model, performance was equally poor, with 52.6% accuracy, score of 0.0272 for Matthews Correlation Coefficient, and F1-score of 30.8% for Summer and 64.0% for Winter. This work is of relevance to the forensic science community by demonstrating the prospects and limitations of dental cementum as a method for estimating seasonality of death.eng
dc.description.sponsorshipThis project receives funding from National Institute of Justice (Award number 15PNIJ-23-GG-04229-SLFO — https://nij.ojp.gov/). The opinions, findings, and conclusions are those of the authors and do not necessarily reflect those of the Department of Justice. Services and products in support of the research project were generated by the University of Lille, supported, in part, with funding from the Hauts-de-France Region (France) (Dispositif STIMulE — Volet Partenarial STIP)
dc.identifier.citationBertrand, B., Kaddoura, A., Cunha, E., Bécart, A., Gosset, D., Hédouin, V., & Marques, C. (2025). The off-season of dental cementum investigations. A critical appraisal of season-of-death prediction in medico-legal investigations. Archives of Legal Medicine, 16(1)
dc.identifier.doi10.1016/j.aolm.2024.200519
dc.identifier.issn2950-3949
dc.identifier.urihttp://hdl.handle.net/10400.26/60873
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relation15PNIJ-23-GG-04229-SLFO
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S2950394924000943?via%3Dihub
dc.relation.ispartofArchives of Legal Medicine
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCementochronology
dc.subjectPostmortem interval
dc.subjectDental cementum
dc.subjectHuman identification
dc.subjectSeason-of-death
dc.titleThe off-season of dental cementum investigations. A critical appraisal of season-of-death prediction in medico-legal investigationseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.titleArchives of Legal Medicine
oaire.citation.volume16
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCunha
person.givenNameEugénia
person.identifierhttps://scholar.google.pt/citations?user=HSGHLA0AAAAJ&hl=en
person.identifier.ciencia-idE717-5464-E13B
person.identifier.orcid0000-0003-2998-371X
person.identifier.scopus-author-id190305008042
relation.isAuthorOfPublication32c59c7d-e7f2-4023-91a0-677db952e161
relation.isAuthorOfPublication.latestForDiscovery32c59c7d-e7f2-4023-91a0-677db952e161

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