Research Centre for Anthropology and Health, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.
Laboratory of Forensic Anthropology, Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.
Int J Legal Med. 2022 Sep;136(5):1483-1494. doi: 10.1007/s00414-022-02840-y. Epub 2022 May 27.
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.
准确评估无名成人骨骼个体的死亡年龄是法医人类学中的一项关键研究任务,是确定个体骨骼遗骸生物特征的关键特征。我们之前已经表明,近端股骨骨密度(BMD)随年龄的下降可用于评估女性的死亡年龄(Navega 等人,J 法医学 63:497-503, 2018)。本研究旨在通过股骨骨密度测定和第二掌骨射线照相术生成两性的年龄估计模型。训练样本由“科英布拉鉴定骨骼收集”中的 224 名成年人(120 名女性,104 名男性)组成,并通过最小二乘回归和广义回归神经网络(GRNN)生成不同的模型。这些模型在 https://osteomics.com/DXAGE2/ 上的用户友好型在线界面中实现。在女性中,已知和估计的死亡年龄之间的平均绝对差异在 9.39 至 13.18 岁之间,在男性中为 10.33 至 15.76 岁,而最小二乘回归模型的平均绝对差异为 10.33 至 15.76 岁。对于 GRNN 模型,在女性中,记录和预测年龄之间的平均绝对差异在 8.44 至 12.58 岁之间,在男性中为 10.56 至 16.18 岁。DXAGE 2.0 可使用可靠的结果,在不完整和/或残缺的骨骼遗骸中,使用替代骨骼区域进行年龄估计。