ArticleInternational journal of legal medicine2022
DXAGE 2.0 - adult age at death estimation using bone loss in the proximal femur and the second metacarpal.
Article in International journal of legal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 16 citations in OpenAlex.
- Multifaceted Preprocessing Optimization for Post-Mortem Radiomics Analysis: A Pilot Study on Forensic Age Estimation Using Proximal Femur Radiomics.Journal of imaging informatics in medicine · 2026Article
- Age and sex estimation using post-mortem CT scout view.International journal of legal medicine · 2026Article
- Cortical Bone Loss in Barcelona Across Time (1st Century CE-18th Century CE) and Its Potential Relationship With Linear Enamel Hypoplasia.American journal of biological anthropology · 2026Article
- The estimation of biological sex through the radius and ulna in Portuguese reference skeletal samples.International journal of legal medicine · 2025Article
- The impact of multi-modality fusion and deep learning on adult age estimation based on bone mineral density.International journal of legal medicine · 2025Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
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Abstract
The accurate age at death assessment of unidentified adult skeletal individuals is a critical research task in forensic anthropology, being a key feature for the determination of biological profiles of individual skeletal remains. We have previously shown that the age-related decrease of bone mineral density (BMD) in the proximal femur could be used to assess age at death in women (Navega et al., J Forensic Sci 63:497-503, 2018). The present study aims to generate models for age estimation in both sexes through bone densitometry of the femur and radiogrammetry of the second metacarpal. The training sample comprised 224 adults (120 females, 104 males) from the "Coimbra Identified Skeletal Collection," and different models were generated through least squares regression and general regression neural networks (GRNN). The models were operationalized in a user-friendly online interface at https://osteomics.com/DXAGE2/ . The mean absolute difference between the known and estimated age at death ranges from 9.39 to 13.18 years among women and from 10.33 to 15.76 among men with the least squares regression models. For the GRNN models, the mean absolute difference between documented and projected age ranges from 8.44 to 12.58 years in women and from 10.56 to 16.18 years in men. DXAGE 2.0 enables age estimation in incomplete and/or fragmentary skeletal remains, using alternative skeletal regions, with reliable results.
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