Predictive models for sex Estimation based on alveolar measurements in a contemporary Italian sample.
Gespeichert in:
| Titel: | Predictive models for sex Estimation based on alveolar measurements in a contemporary Italian sample. |
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| Autoren: | Tanga C; Department of Legal Medicine, Toxicology and Physical Anthropology, University of Granada, Granada, Spain. carmentanga@correo.ugr.es., Viciano J; Independent Researcher, Turin, Italy. |
| Quelle: | International journal of legal medicine [Int J Legal Med] 2025 Nov; Vol. 139 (6), pp. 2965-2980. Date of Electronic Publication: 2025 Jul 01. |
| Publikationsart: | Journal Article |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Springer International Country of Publication: Germany NLM ID: 9101456 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1437-1596 (Electronic) Linking ISSN: 09379827 NLM ISO Abbreviation: Int J Legal Med Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Heidelberg, FRG : Springer International, c1990- |
| MeSH-Schlagworte: | Alveolar Process*/anatomy & histology , Sex Determination by Skeleton*/methods, Humans ; Male ; Female ; Italy ; Adult ; Logistic Models ; Young Adult ; Middle Aged ; Forensic Anthropology ; Reproducibility of Results ; Aged ; Adolescent |
| Abstract: | Teeth play a significant role in reconstructive identification, aiding in the estimation of an individual's biological profile, such as population affinity, sex, and age at death. However, when teeth are lost postmortem-a common occurrence in forensic contexts-alternative methods are required. This study aimed to develop predictive models for sex estimation using alveolar measurements and to evaluate their reliability with a validation sample. Mesiodistal and buccolingual alveolar diameters from both arches were measured in 127 adults (64 males, 63 females) from the Certosa Cemetery osteological collection in Bologna. Binary logistic regression models were developed using a training subsample and tested on a hold-out subsample. The results indicated that the canine alveoli in both arches exhibited the highest sexual dimorphism, followed by those of the central incisor, first premolar, lateral incisor, and second premolar. In the training subsample, univariate predictive models achieved sex classification accuracy ranging from 57.3 to 83.9%, while multivariate models ranged from 68.0 to 91.3%. In the hold-out subsample of 19 individuals, sex was accurately estimated in 89.5% of cases, with a match rate of 63.2% compared with known biological sex. This study highlights the potential of alveolar measurements as a reliable alternative in forensic anthropology, offering a viable method for sex estimation when teeth are unavailable for measurement. (© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.) |
| Competing Interests: | Declarations. Ethical approval: The study was conducted in accordance with the Police Mortuary Rules (DPR 09.10.1990 n° 285, art. 43). Research involving human participant and/or animals: N/A. Informed consent: N/A. Conflict of interest: The authors declare no competing interests. |
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| Contributed Indexing: | Keywords: Alveolar size; Binary logistic regression; Reconstructive human identification; Sex estimation; Sexual dimorphism |
| Entry Date(s): | Date Created: 20250701 Date Completed: 20251016 Latest Revision: 20251017 |
| Update Code: | 20251017 |
| DOI: | 10.1007/s00414-025-03555-6 |
| PMID: | 40590928 |
| Datenbank: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstract: | Teeth play a significant role in reconstructive identification, aiding in the estimation of an individual's biological profile, such as population affinity, sex, and age at death. However, when teeth are lost postmortem-a common occurrence in forensic contexts-alternative methods are required. This study aimed to develop predictive models for sex estimation using alveolar measurements and to evaluate their reliability with a validation sample. Mesiodistal and buccolingual alveolar diameters from both arches were measured in 127 adults (64 males, 63 females) from the Certosa Cemetery osteological collection in Bologna. Binary logistic regression models were developed using a training subsample and tested on a hold-out subsample. The results indicated that the canine alveoli in both arches exhibited the highest sexual dimorphism, followed by those of the central incisor, first premolar, lateral incisor, and second premolar. In the training subsample, univariate predictive models achieved sex classification accuracy ranging from 57.3 to 83.9%, while multivariate models ranged from 68.0 to 91.3%. In the hold-out subsample of 19 individuals, sex was accurately estimated in 89.5% of cases, with a match rate of 63.2% compared with known biological sex. This study highlights the potential of alveolar measurements as a reliable alternative in forensic anthropology, offering a viable method for sex estimation when teeth are unavailable for measurement.<br /> (© 2025. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.) |
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| ISSN: | 1437-1596 |
| DOI: | 10.1007/s00414-025-03555-6 |