Lye Ridhwan, Obertová Zuzana, Bachtiar Nur Amelia, Franklin Daniel
Centre for Forensic Anthropology, M420, The University of Western Australia, Crawley, WA, 6009, Australia.
Radiology Department, Hasanuddin University, Jalan Perintis Kemerdekaan KM. 10, Talamanrea, Makassar, 90254, Indonesia.
Int J Legal Med. 2025 Sep;139(5):2389-2401. doi: 10.1007/s00414-025-03496-0. Epub 2025 Apr 21.
The Suchey-Brooks (S-B) standard is one of the most frequently applied approaches for age-at-death estimation in modern forensic practice. However, classification accuracy is known to vary across different populations. At present, there is a paucity of research related to the assessment of biological attributes in Indonesia, particularly the estimation of age-at-death. The use of computed tomography (CT) in S-B phase assignments has been validated in the literature. In considering further validating the use of CT, transition analysis (TA), and Bayesian statistics in age-at-death estimation, this study evaluated the accuracy of the S-B standard on a sample obtained from Indonesia. TA and Bayesian statistics are incorporated to address methodological issues such as age mimicry. A total of 378 multi-slice CT scans were analysed in OsiriX. TA and Bayesian statistics were used to derive age-at-death estimation models. Overall bias values were at - 6.0 years for females and - 13.1 years for males, while inaccuracy was at 9.6 years for females and 14.6 years for males. When applying the original S-B age ranges, 92.0% of females and 73.3% of males were correctly classified. Likewise, mean ages per S-B phase were higher in the Indonesian sample, except for females assigned to Phase VI. TA and Bayesian statistics derived age-at-death distribution models specific to the Indonesian population. The dissemination of an appropriate age-at-death estimation standard in the literature is of considerable benefit to casework conducted domestically in Indonesia, and also serves to further inform aspects of general forensic practice globally.
苏西-布鲁克斯（S-B）标准是现代法医实践中最常用的死亡年龄估计方法之一。然而，已知不同人群的分类准确率存在差异。目前，关于印度尼西亚生物属性评估的研究较少，尤其是死亡年龄的估计。文献中已验证了计算机断层扫描（CT）在S-B阶段划分中的应用。在考虑进一步验证CT、过渡分析（TA）和贝叶斯统计在死亡年龄估计中的应用时，本研究评估了S-B标准在从印度尼西亚获取的样本上的准确性。纳入TA和贝叶斯统计以解决诸如年龄模仿等方法学问题。在OsiriX中分析了总共378例多层CT扫描。使用TA和贝叶斯统计来推导死亡年龄估计模型。女性的总体偏差值为-6.0岁，男性为-13.1岁，而女性的不准确率为9.6岁，男性为14.6岁。应用原始的S-B年龄范围时，92.0%的女性和73.3%的男性被正确分类。同样，除了被分配到第六阶段的女性外，印度尼西亚样本中每个S-B阶段的平均年龄更高。TA和贝叶斯统计得出了特定于印度尼西亚人群的死亡年龄分布模型。在文献中传播适当的死亡年龄估计标准对印度尼西亚国内的案件工作有很大益处，也有助于为全球一般法医实践的各个方面提供更多信息。
