Stoyanova Detelina, Algee-Hewitt Bridget F B, Slice Dennis E
Department of Scientific Computing, Florida State University, Tallahassee, FL, 32306.
Department of Biology, Rosenberg Lab, Stanford Center for Computational, Evolutionary and Human Genomics, Stanford University, Stanford, CA, 94305.
Am J Phys Anthropol. 2015 Nov;158(3):431-40. doi: 10.1002/ajpa.22797. Epub 2015 Jul 14.
The pubic symphysis is frequently used to estimate age-at-death from the adult skeleton. Assessment methods require the visual comparison of the bone morphology against age-informative characteristics that represent a series of phases. Age-at-death is then estimated from the age-range previously associated with the chosen phase. While easily executed, the "morphoscopic" process of feature-scoring and bone-to-phase-matching is known to be subjective. Studies of method and practitioner error demonstrate a need for alternative tools to quantify age-progressive change in the pubic symphysis. This article proposes a more objective, quantitative method that analyzes three-dimensional (3D) surface scans of the pubic symphysis using a thin plate spline algorithm (TPS).
This algorithm models the bending of a flat plane to approximately match the surface of the bone and minimizes the bending energy required for this transformation. Known age-at-death and bending energy were used to construct a linear model to predict age from observed bending energy. This approach is tested with scans from 44 documented white male skeletons and 12 casts.
The results of the surface analysis show a significant association (regression p-value = 0.0002 and coefficient of determination = 0.2270) between the minimum bending energy and age-at-death, with a root mean square error of ≈19 years.
This TPS method yields estimates comparable to established methods but offers a fully integrated, objective and quantitative framework of analysis and has potential for use in archaeological and forensic casework.
耻骨联合常被用于从成人骨骼估计死亡年龄。评估方法需要将骨骼形态与代表一系列阶段的年龄指示特征进行视觉比较。然后根据先前与所选阶段相关的年龄范围来估计死亡年龄。虽然易于执行,但特征评分和骨骼与阶段匹配的“形态学观察”过程已知是主观的。方法和从业者误差研究表明需要替代工具来量化耻骨联合的年龄渐进变化。本文提出了一种更客观、定量的方法,该方法使用薄板样条算法(TPS)分析耻骨联合的三维(3D)表面扫描。
该算法对平面的弯曲进行建模,以大致匹配骨骼表面,并使这种变换所需的弯曲能量最小化。已知的死亡年龄和弯曲能量被用于构建一个线性模型,以根据观察到的弯曲能量预测年龄。该方法用来自44具记录在案的白人男性骨骼和12个铸型的扫描进行了测试。
表面分析结果显示最小弯曲能量与死亡年龄之间存在显著关联(回归p值 = 0.0002,决定系数 = 0.2270),均方根误差约为19岁。
这种TPS方法得出的估计结果与既定方法相当,但提供了一个完全集成、客观且定量的分析框架,并且有用于考古和法医案件工作的潜力。