Elgendy Mai Mohammad, Madkour Somaya Abdel-Gawad, Eldine Fatma Mohamed Magdi Badr, Emara Doaa Mokhtar, Attia MennattAllah Hassan
Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Department of Diagnostic Radiology, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Forensic Sci Res. 2024 Sep 20;10(2):owae061. doi: 10.1093/fsr/owae061. eCollection 2025 Jun.
Age estimation of adults is a challenging procedure in forensic practice. Inspired by the previous work by Chinese scholars, we established population-specific age estimation models from the osseous and calcified projections (OCPs) of costal cartilages, using three-dimensional volume-rendering technique. A total of 168 clinical CT scans (2 mm slice thickness) were used to develop the sex-specific age prediction models from a sample of Egyptians, comprising 70 females and 98 males, with documented ages between 12 and 85 years. The sample was also used for validating the Chinese model. We reported the differences between the predictive accuracy of the Egyptian (population specific) and Chinese (non-population specific) models. The most accurate age estimation model was stepwise linear regression with standard error of estimates of 10.9 and 11.8 years in males and females, respectively. For the simple linear regression models, the most accurate formula included OCP of the right second costal cartilage in males and OCP of the left third costal cartilage in females with standard error of estimates of 11.2 and 12.2 years, respectively, and mean absolute error (MAE) of 8.8 and 9.6 years, respectively. By comparison, the best accuracy rates produced by the Chinese the Egyptian models in males and females within 5 years were 30.61% and 32.86% 35.71% and 32.86%, respectively, whereas within 10 years, the accuracy rates increased up to 57.14% and 58.57% 72.45% and 64.29%, respectively. Although the accuracy rates from the Chinese models were lower than those obtained from the Egyptian models, the MAE and least error values were comparable in both sexes. Notable accurate age estimation rates in the advanced age group ≥40 years were reached being 81.25% to 97.92% in males and 69.77% to 93.02% in females. OCP of the right first costal cartilage was the most accurate in cross-population application for males and females with MAE values of 10.7 and 11.03 years, respectively, with balanced accuracy rates of age estimation using the 10-year interval and 40-year cutoff.
Age differences in calcification form and amount in the seven costal cartilages were found.The best model for males include the second costal cartilage.The best model for females include third or fifth costal cartilages.First OCP is the most accurate in cross-population application regardless of sex.The best OCP in one population is not necessarily the best predictor in both samples.
在法医学实践中,成年人年龄估计是一项具有挑战性的程序。受中国学者先前工作的启发,我们利用三维容积再现技术,从肋软骨的骨性和钙化投影(OCPs)建立了特定人群年龄估计模型。共使用168例临床CT扫描(层厚2mm),从埃及样本中建立性别特异性年龄预测模型,样本包括70名女性和98名男性,记录年龄在12至85岁之间。该样本还用于验证中国模型。我们报告了埃及(特定人群)和中国(非特定人群)模型预测准确性的差异。最准确的年龄估计模型是逐步线性回归,男性和女性估计标准误差分别为10.9岁和11.8岁。对于简单线性回归模型,最准确的公式分别包括男性右第二肋软骨的OCP和女性左第三肋软骨的OCP,估计标准误差分别为11.2岁和12.2岁,平均绝对误差(MAE)分别为8.8岁和9.6岁。相比之下,中国模型和埃及模型在5年内男性和女性的最佳准确率分别为30.61%和32.86%以及35.71%和32.86%,而在10年内,准确率分别提高到57.14%和58.57%以及72.45%和64.29%。尽管中国模型的准确率低于埃及模型,但两性的MAE和最小误差值具有可比性。在≥40岁的高龄组中,显著的准确年龄估计率分别为男性81.25%至97.92%,女性69.77%至93.02%。右第一肋软骨的OCP在男性和女性的跨人群应用中最准确,MAE值分别为10.7岁和11.03岁,使用10年间隔和40岁截断值的年龄估计平衡准确率。
发现七根肋软骨钙化形式和数量的年龄差异。男性的最佳模型包括第二肋软骨。女性的最佳模型包括第三或第五肋软骨。无论性别,第一OCP在跨人群应用中最准确。一个人群中的最佳OCP不一定是两个样本中的最佳预测指标。