利用视觉观察肱骨末端确定尸骨性别

本文介绍了利用肱骨末端的四个形态特征确认性别的一种新方法。这项技术参考了美国UNM大学和UTK大学的研究结果 ,涉及到胳膊传递角的四个统计意义的特征共同参予鉴定 (P <0 .0 5 )。性别鉴定的准确率达到 92 %。     

Nonmetric sex determination from the distal and posterior humerus in black and white South Africans

The successful identification of human skeletal remains relies on proven diagnostic techniques for sex determination. This research utilized 608 individuals from South Africa (420 men, 188 women) to conduct a blind nonmetric determination of sex from three features of the distal humerus: olecranon fossa shape, angle of the medial epicondyle, and trochlear extension. A scoring system between males and females was implemented, and the aggregate score of the three features determined the estimated sex of the skeletal element in question. With all features combined, black and white South Africans were categorized successfully as either male or female 75.5% (77% accuracy rate for females, 74% accuracy rate for males). This classification rate is lower than what was found in previous studies, but suggests that characteristics of the distal humerus are still quite valuable when estimating skeletal sex. More research is needed to assess reasons for the differential expression of these traits in different populations and to determine whether the method is nonpopulation specific.     

利用肱骨影像学特征推断年龄

在法庭科学中根据骨骼判定年龄的方法有：根据骨骼的大体形态来判定、根据骨组织学的变化来判定,还有根据骨骼的影像学特征来判定年龄等等。本文分别从干骺融合时间和肱骨骨髓腔变化两方面对法医人类学在肱骨X光片推断年龄方面的相关研究进展作一概略的介绍。     

Long Bone (Humerus,Femur, Tibia) Measuring Procedure in Cadavers

In this work, we present a measuring methodology for long bones of the limbs (humerus, femur, and tibia) of human corpses. Measurements of cadaveric height and long bone lengths were conducted on 72 corpses (20 females and 52 males) from the School of Medicine at the National Autonomous University of Mexico. Additionally, these measurements were compared with those taken from dry bones of a subsample of individuals. Our results show marginal differences (TEM% = 0.59) between cadaveric and dry bone measurements, resulting from different osteometric technical procedures. This note outlines the measuring methodology, which will be subsequently used to create regression formulas for stature estimation.     

中国汉族成人肱骨近端CR片特征与年龄的相关性

目的探讨中国汉族成人肱骨近端CR片的特征随年龄变化的规律,以推断年龄。方法 210例中国汉族成人肩关节CR片,其中男性124例,年龄范围18~83周岁,女性86例,年龄范围18~60周岁,选取与年龄变化关系密切的肱骨骨髓腔高度、肱骨近端骨骺骨小梁变化、肱骨大结节内骨小梁变化、锁骨骨髓腔肩峰侧骨小梁变化4项指标,观察不同年龄各指标的变化进行统计分析。结果四项指标均是影响年龄变化的重要因素。肱骨近端骨骺骨小梁变化、锁骨骨髓腔肩峰侧骨小梁变化对年龄的预测影响较大,肱骨骨髓腔高度、肱骨大结节内骨小梁变化稍小。利用以上指标建立的回归方程能很好的反映成人肱骨的增龄性变化,预测骨龄较为准确。结论利用成人肱骨骨髓腔高度、肱骨近端骨骺骨小梁变化、肱骨大结节内骨小梁变化、锁骨骨髓腔肩峰侧骨小梁变化可推断年龄。     

Sexual Dimorphism of the Humerus in Contemporary Cretans—A Population‐Specific Study and a Review of the Literature*

Abstract: Sex determination is the first essential step for positive identification when a decomposed body is recovered. Taking into consideration the population aspect of sexual dimorphism of the skeleton, the present study aimed to create a sex identification technique using osteometric standards, derived from a contemporary Cretan population. A total of 168 left humeri were measured according to standard osteometric techniques. The differences between the means in males and females were significant (p < 0.0005). About 92.3% of cases were correctly classified when all measurements were applied jointly. Stepwise procedure produced an accuracy rate of 92.9%. The most effective single dimension was vertical head diameter (89.9%). The current study provides standards for a population that has not been represented so far in the existing databases. It demonstrates that the humerus is an effective bone for the estimation of sex because even in a fragmentary state it can give high classification accuracy.     

男性上肢长骨的测量及其最大长推算

目的探讨用上肢长骨的残骨某一项指标建立肱骨、尺骨和桡骨最大长的回规方程,然后可根据所得值间接推算人体身高。方法选男性肱骨、尺骨和桡骨50例,左、右共100侧肢体。用人体测量仪器,按体质人类学测量方法进行各项指标测量,所得值经统计学分析后,分别与肱骨、尺骨和桡骨最大长建立直线回规方程。结果经相关分析建立了肱骨最大长回规方程17个,尺骨最大长回规方程8个,桡骨最大长回规方程11个。结论若能测得上肢长骨残骨的某一项指标,就可用所建立的回规方程推算该骨的最大长,这在法医学上具有一定的参考价值。     

Identification from Chest X‐Rays: Reliability of Bone Density Patterns of the Humerus*

Abstract: A critical review of Kahana and Hiss’ study on identification from bone trabecular pattern and a test of their method conducted on the humerus are presented. Bone trabecular pattern was studied through the generation of a numerical file representing the gray scale. Using the correlation coefficient, several pairwise comparisons between numerical files were performed. The test gave nearly 30% of incorrect exclusions (the method did not recognize couples of radiographs belonging to the same subject) and 50% of misidentifications (the method recognized couples of radiographs belonging to different subjects, as belonging to the same subject); therefore, this research shows that at the present time, it is not possible to safely quantify identification through bone density patterns, of the proximal humerus taken from thoracic X‐rays. Thus, an “easy”—but dangerous—use of trabecular density patterns on this specific type of radiogram as an identification method should be currently avoided.     

Getting Rid of Dichotomous Sex Estimations: Why Logistic Regression Should be Preferred Over Discriminant Function Analysis

Sex estimation is an important part of creating a biological profile for skeletal remains in forensics. The commonly used methods for developing sex estimation equations are discriminant function analysis (DFA) and logistic regression (LogR). LogR equations provide a probability of the predicted sex, while DFA relies on cutoff points to segregate males and females, resulting in a rigid dichotomization of the sexes. This is problematic because sexual dimorphism exists along a continuum and there can be considerable overlap in trait expression between the sexes. In this study, we used humeral measurements to compare the performance of DFA and LogR and found them to be very similar under multiple conditions. The overall cross-validated (leave-one-out) accuracy of DFA (75.76–95.14%) was slightly higher than LogR (75.76–93.82%) for simple and multiple variable equations, and also performed better under varying sample sizes (94.03% vs. 93.78%). Three of five DFA equations outperformed LogR under the B index, while all five LogR equations outperformed the DFA equations under the Q index. Both methods saw an improvement in overall accuracy (DFA: 86.74–95.79%; LogR: 86.74–95.76%) when individuals with a classification probability lower than 0.80 were excluded. Additionally, we propose a method for calculating additional cutoff points (PMarks) based on posterior probability values. In conclusion, we recommend using LogR over DFA due to the increased flexibility, robusticity, and benefits for future users of the statistical models; however, if DFA is preferred, use of the proposed PMarks facilitates future analysis while avoiding unnecessary dichotomization.     

Outline Shape Analysis on the Trochlear Constriction and Olecranon Fossa of the Humerus: Insights for Sex Estimation and a New Computational Tool,

Sex estimation through visual analysis of the distal humerus can contribute to establishing the biological profile of an unidentified skeletal individual. Using statistical shape modeling, the trochlear constriction open curves and olecranon fossa closed outlines of 151 humeri were digitized and analyzed. The shape configurations exhibited strikingly different degrees of sexual dimorphism when evaluated using linear discriminant analysis with leave‐one‐out cross‐validation. The trochlear constriction performed poorly, correctly classifying 63.6% of the individuals. However, the olecranon fossa showed high sexual dimorphism, presenting a 94.0% accuracy. A simpler model using only two principal components was also generated. While the accuracy is slightly inferior (88.1%), it has the advantage of being constrained to bidimensional components that were translated into morphoscopic variables within a simulator interface. This allowed us to implement the method through a web application that does not require users to be trained in landmark digitization or have knowledge of geometric morphometrics.