ArticleInternational journal of legal medicine2020
Forensic sex estimation using the vertebrae: an evaluation on two European populations.
Article in International journal of legal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 27 citations in OpenAlex.
- Machine learning algorithms in the estimation of sex from 3DCT-generated cranial and pelvic measurements.International journal of legal medicine · 2026Article
- Assessment of sexual dimorphism in all lumbar vertebrae using three-dimensional multi-slice computed tomography scan.International journal of legal medicine · 2026Article
- Metric analysis of the postcranial skeleton: a comprehensive approach for biological sex estimation in an Italian population.International journal of legal medicine · 2026Article
- Evaluation of standards for sex estimation using measurements obtained from reconstructed computed tomography images of the femur of contemporary Black South Africans.International journal of legal medicine · 2025Article
- Classification performance of the Sella-Tunis et al. (2017) sex estimation method in Czech population: different posterior probability threshold approaches.International journal of legal medicine · 2024Article
- Sex estimation techniques based on skulls in forensic anthropology: A scoping review.PloS one · 2024Article
- Machine Learning Models for Prediction of Sex Based on Lumbar Vertebral Morphometry.Diagnostics (Basel, Switzerland) · 2023Article
- Deep learning in sex estimation from a peripheral quantitative computed tomography scan of the fourth lumbar vertebra-a proof-of-concept study.Forensic science, medicine, and pathology · 2023Article
- Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements.International journal of legal medicine · 2023Article
- The impact of age on the morphology of the 12th thoracic vertebral endplates.Anatomy & cell biology · 2022Article
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Authors and funding
4 authors at 3 institutions in 3 countries.
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Abstract
Sex estimation is one of the primary steps for constructing the biological profile of skeletal remains leading to their identification in the forensic context. While the pelvis is the most sex diagnostic bone, the cranium and other post-cranial elements have been extensively studied. Earlier research has also focused on the vertebral column with varying results regarding its sex classification accuracy as well as the underlying population specificity. The present study focuses on three easily identifiable vertebrae, namely T1, T12, and L1, and utilizes two modern European populations, a Greek and a Danish, to evaluate their forensic utility in sex identification. To this end, 865 vertebrae from 339 individuals have been analyzed for sexual dimorphism by further evaluating the effects of age-at-death and population affinity on its expression. Our results show that T1 is the best sex diagnostic vertebra for both populations reaching cross-validated accuracy of almost 90%, while age-at-death has limited effect on its sexual dimorphism. On the contrary, T12 and L1 produced varying results ranging from 75 to 83% accuracy with the Greek population exhibiting distinctively more pronounced sexual dimorphism. Additionally, age-at-death had significant effect on sexual dimorphism of T12 and L1 and especially in the Greek female and Danish male groups. Our results on inter-population comparison suggest that vertebral sex discriminant functions, and especially those utilizing multiple measurements, are highly population specific and optimally suitable only for their targeted population. An open-source software tool to facilitate classifying new cases based on our results is made freely available to forensic researchers.
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