中国人股骨的性别鉴定

目的建立中国人股骨性别判定的方程。方法测量来自全国14省区的已知生前确切性别180例（男150例,女30例）个体的双侧股骨21项指标。使用统计软件SPSS13．0对获得的股骨测量项目数据,进行同一性别双侧间及不同性别同侧间的t检验,然后采用Fisher判别分析法和Bayes逐步判别分析法,建立股骨性别判定的系列判别函数。结果股骨单一测量指标中男性判别率最高指标为股骨上髁宽,为94．0％,女性判别率最高指标为股骨头周与股骨颈垂直径,为93．3％,总判别方程的判别率为男性98．0％,女性93．3％。结论本研究提供的判别方程式判别准确率较高,适用于中国人股骨的性别判定。     

中国南方汉族人残碎股骨上端的性别判定

目的建立中国南方地区汉族人残碎股骨上端性别判别方法。方法对国内南方九省市的已知确切性别的100具股骨进行研究，测量股骨上端的7项指标，应用SPSS统计软件对数据进行分析，建立性别判别方程。结果7项指标中6项指标存在显著的性别差异，建立全指标及单指标的性别判别方程，判别率在59．6％～92．9％。结论建立的性别判别方程可以用于法医学实践。     

中国汉族人颅骨数字模型的性别判别方法

目的利用步进Fisher法建立多元性别判别函数,对西安地区成年人颅骨进行性别判别。方法从颅面数据库中选择西安地区133个（73男,60女）三维颅骨模型,利用计算机软件测量并统计颅骨的12项几何测量指标和2项角度测量指标,利用步进Fisher方法建立多元性别判别函数,并对方程进行回代检验。结果男性的12项几何测量指标均值大于女性,女性的2项角度测量指标均值大于男性,除2项指标（X7和X14）外,其他指标均存在显著性差异（P〈0.01）。由4项指标建立的判别方程,判别率男性为87.5%,女性为86.67%。结论利用计算机软件可以实现完整颅骨和无下颌的颅骨的性别判别。     

舌骨的法医人类学研究

目的建立利用舌骨形态测量值判别性别的方法,并探讨其在法医学应用中的价值。方法对于河北地区收集的108例舌骨样本(男78例,女30例)进行观察研究,确立11个观测指标并进行测量,测量值采用SPSS统计软件进行统计学分析,建立利用舌骨形态测量值判别性别的方程,并进行Fisher判别分析。结果在11项观察指标中,8项测量指标男女性别间存在显著性统计学差异(P<0.01);利用8项测量指标中的任一指标或之中的多个指标组合建立线性性别判别方程,方程判别性别的准确率在66%～92%,其中多指标的方程判别性别准确率较单一指标的方程高,最高达到92%。结论舌骨形态存在着性别差异,利用多个舌骨形态学测量值建立的性别判别方程准确率较高,可用于无名尸骨的性别判别。     

中国人胫骨的性别判定

目的建立中国人胫骨性别判定的方程。方法测量来自全国14省区已知生前确切性别的180例（男150例,女30例）个体的跫侧胫骨的13项指标,使用统计软件SPSS13．0,对所获得的测量数据进行同一性别双侧间以及不同性别同侧间胫骨测量项目的t检验,最后用Fisher判别分析法,建立国人胫骨性别判定的方程式。结果单一测量指标的性别判别方程13组,其性别判别准确率为66．7％～96．7％,总判别方程的判别准确率为男性97．3％,女性93．3％。结论本研究提供的判别方程式判别准确率较高,适用于中国人胫骨的性别判定。     

中国人肱骨的性别鉴定

目的 建立中国人肱骨性别判定的方程。方法 测量了来自全国9省区的已知生前确切性别的103个个体的左右侧肱骨的12项测量指标,使用SPSS软件,对所获得的测量数据,进行男女性别间测量数据的t检验。剔除性别检验差异不显著的测量项目,使用Fisher判别分析方法,建立肱骨性别判定方程。结果 单一测量指标的性别判定方程20组,性别判别率为75.9％～89.3％;肱骨上端的性别判定方程2组,性别判别率为83.6％～85.7％;肱骨中段的性别判定方程2组,性别判别率为81.3％～83.9％;肱骨下端的性别判定方程2组,性别判别率为82％。完整肱骨的性别判别率,左侧87％,右侧90.9％,双侧肱骨的性别判别率为96.3％。结论 建立的肱骨性别判别方程,适用于中国人肱骨的性别判定。     

中国汉族成人甲状软骨的性别判定

目的 建立中国汉族成人甲状软骨性别判别的函数方程。方法 对142例中国汉族成人甲状软骨(男73例,女69例)进行大体测量,选择7个性别差异非常显著的测量指标,然后采用Fisher判别分析法和Bayes逐步判别分析法,建立判定甲状软骨性别的系列判别函数。结果 建立了13个甲状软骨的性别判别方程,完整或大部分完整的甲状软骨性别判别准确率均达100％,残缺的达90％。结论 中国汉族成人甲状软骨性别差异明显,运用所建方程能够判定甲状软骨的性别。     

利用髋骨进行性别判别的的新方法

通过已知性别的干燥成人髋骨190副（男123副，女67副）进行研究，发现髋骨上界线的弧长、界线的弦长和孤高，以及髋臼的直径等值均存在着显著的性别差异。四项指标的单一性别判别准确率分别为78．42％、73．68％、74．74％及72．63％。分别利用前三项指标与髋臼直径的比值作为性别判别公式，判别准确率可达91．58％、8．95％、85．26％。利用筋骨进行性别判别建立新的方法。     

桡骨性别鉴定的研究

目的通过对桡骨的测量,使用Fisher判别分析方法,建立了中国人桡骨性别判定的判别方程。方法本研究共测量了来自全国九省区的已知生前确切性别的210个个体的左右侧桡骨,其中男性160例,女性50例,年龄范围18岁～76岁。测量指标共有8项,使用SPSS软件,进行了桡骨左、右侧及男女性别间测量数据差异的t检验。根据对测量数据左、右侧及男女性别的检验,将差异不显著的测量项目剔除,建立了左、右侧桡骨性别判定的方程。结果单一测量指标的性别判定方程,除性别差异不显著的测量项目颈干角之外,性别判别率为57.7%～92.3%,桡骨长度测量指标的性别判别率为82.4%～88.5%,桡骨中段测量指标的性别判别率为77.8%～91.7%。完整桡骨测量指标的性别判别率91.7%～99.5%。结论本研究建立的桡骨性别判定方法,性别判定准确率高,使用方便,为中国人桡骨的性别判定提供了科学依据。     

第12胸椎三维重建图像性别判定研究

目的考察计算机断层扫描(CT)技术测量中国汉族第12胸椎判定性别的效果,探索CT技术在法医人类学人体骨骼测量研究中应用的可行性。方法确定11项径线指标测量第12胸椎多层面重组(MPR)三维重建图像,剔除不稳定指标后计算四项比值指标,统计各项指标的数据考察CT测量第12胸椎判定性别的效果。结果剔除两次测量结果不稳定的三项指标后的12项指标性别差异显著,建立了7个性别判定方程,综合判别率在80.0%~91.6%,仅含椎体指标的方程性别判别率最高达91.6%。结论中国汉族人第12胸椎形态学测量指标具有性别差异,CT技术可以准确测量骨骼,对法医人类学人体骨骼测量研究具有应用价值。     

Sex determination of Chinese femur by discriminant function

The objective of this study was to provide a method of sex determination for Chinese femur, especially for fragmentary remains. Statistical analysis of 17 measurements based on 141 northeastern Chinese femora shows that all measurements have significant sex differences. Sex determination by the midpoint method of a single measurement can obtain an average accuracy of 76.8%. The results indicate that of all dimensions the maximum head diameter is the best discriminator of sex. It alone can determine the sex of a femur with 85.1% accuracy. The results also show that maximum head diameter, transverse head diameter, epicondylar breadth, upper breadth, and medial condylar length have higher sexual dimorphisms than the dimensions of length. According to the result to stepwise discriminant analysis and the need for sexing fragmentary remains, 22 discriminant functions composed of various combinations of variables were calculated which can determine the sex of the femur correctly 82.3 to 87.2%. The methods of sex determination provided by this paper can be used to sex poorly preserved femora.     

关于上颌牙弓性别差异的研究

利用自动显示游标卡尺测量200例（男、女各100例，年龄18～24岁）上颌石膏模型上牙弓宽、长及高等18个指标。经统计分析发现除切牙弓长、尖牙间距对应高及第二双尖牙间距对应高外，其余15项测量指标男性均大于女性（P＜0．05）。逐步判别分析仅用7个测量指标，判别率可达到75．50％。     

The efficiency of the demarking point of the femoral head as a sex determining parameter

The percentage of skeletal remains that can be sexed depends on the degree of completeness of the skeleton, the parameters that are used and the type of statistical analysis that is done. The objective of the present study was to assess the accuracy of the demarking point in sexing the femur of South African whites and blacks. One hundred pairs of femurs were randomly selected from the bone collections of each of the two racial groups. The bones were sexed by measuring the head diameters and comparing them with the corresponding demarking point values that had been previously determined. The sex that was so allocated to each bone was compared with its documented sex in the database in order to assess the accuracy of the method. The overall success rate of sex identification was 32% for both white and black populations, but the accuracy of sexing was 100%.     

An evaluation of sex and body weight determination from the proximal femur using DXA technology and its potential for forensic anthropology

Dual energy X-ray absorptiometry (DXA) is a rarely used technology in forensic anthropology. These densitometers quantify bone mineral density (BMD) and bone mineral content (BMC) and thus introduce new variables which are important for the application of forensic anthropology. This study investigates the importance of these variables and of this technology using bone scans of the proximal femur in sex and body weight determination. Two data sets from studies conducted at the University of Alabama at Birmingham were examined. The first study had 41 White patients, of which there were 17 males and 24 females, ranging in age from 61 to 79 years and in weight from 99 to 242 lb. The following variables were utilized from the DXA scans: BMD in the femoral neck, greater trochanter and in Ward's triangle. A manual ruler in the software facilitated measurements on the minimum neck diameter and shaft diameter just below the lesser trochanter from each scan. The second study had 128 female patients, 71 of which were Black and 57 were White. They ranged in age from 23 to 47 1/2 years and they weighed between 31 1/2 and 98 1/4 kg. The same variables were examined on these DXA scans as in the first study, with the addition of BMC of the femoral neck and the deletion of the minimum shaft diameter below the lesser trochanter. The first study showed statistically significant sex determination relationships (p < 0.02, t-tests for equality of means) at the supero-inferior femoral neck and lesser trochanter diameters, and from BMD at the femoral neck, trochanter, and Ward's triangle. Discriminant function analysis correctly classified sex over 92% of the original grouped cases using these variables. Multiple regression analysis using body weight as the dependent variable and various measures of the proximal femur as independent variables shows that while they are statistically significant and they have reasonably high R2 values up to 0.49; nevertheless, their standard errors of the estimates are too wide to be of much forensic use. The second study examined ethnic differences, Blacks and Whites, and body weight relationships in a larger, all female data set. Statistically significant differences between Blacks and Whites of BMD were found at Ward's triangle. Multiple regression analyses were again run on body weight and various measures of the proximal femur. The results were also broken down by ethnicity. Some body weight relationships were again statistically significant such as between the BMC of the femoral neck and the BMD of the greater trochanter and the BMC of the neck and the minimum neck diameter, but again, the standard error of the estimate is too wide to be of much use. In addition, the square of the correlation coefficient (R2) is very low, for example, below 0.1 in all cases. Thus, there is very little variability in weight that can be accounted for with these variables. DXA technology offers the potential of a living skeletal data bank and of variables that are useful in cause-effect relationships between bone mineralization and skeletal loads.     

A study of sexual variation in Indian femur

Assessment of sex from femoral dimensions have been tried before in several populations. Studies conducted so far have demonstrated that populations differ from one another in size and proportion. Therefore, the discriminant formulae developed for determining sex for one population group cannot be applied on another. As to date no detailed study of femur on the subject has been reported from India, an attempt has been made in the present study to examine the sexual dimorphism in femur of Indian origin using 124 femora from central India. Eleven standard dimensions were measured on the bones. The data were analysed using discriminant function procedures and the results of different measurements are reported independently and in various combinations. Maximum head diameter alone could correctly assign sex to 92.5% of males and 95.5% of females. Evaluation of the discriminating ability of the variables selected in stepwise analysis are then conducted using cross validation procedure. To understand the population variation, the discriminant formula derived from Thai, Chinese, South African white, American black and white were applied on the present sample. The comparison indicated that Indians have very different dimension from South African whites and American whites. Their dimensions are more closer to Thais and Chinese but in no way identical to them.     

Sex determination from the distal part of the femur in a French contemporary population

Until now, determining the sex of a recently deceased individual using the measurement of the bicondylar breadth of the femur (also known as condylar width, epicondylar breadth and distal epiphyseal breadth) raised some concerns as to accuracy because no sample of contemporary French subjects was available. In this study, a sample of 88 female and male femurs taken from recently deceased elderly French people was studied. The bones were collected from subjects who had donated their bodies to the Medical School of Nice. The mean value of the male bicondylar breadth was found to be greater than that of females (84.3mm versus 74.8mm), confirming the sexual dimorphism of this parameter. Furthermore, the results showed a 95.4% accuracy rate for sexing individuals. To date, in the French population, as in some other samples, epicondylar breadth is the single most accurate measurement of sex determination, ahead even of head diameter. A discriminant function is presented to allow sex determination from remains of the distal femur. With regard to the data available in the literature, sexual dimorphism is probably the result of both genetic and environmental factors. The comparison of our results with those of other populations shows that there are inter-population variations of the bicondylar breadth, and also intra-population variations that account for the differences in the accuracy rate of this variable for the purposes of sex determination. These findings underscore the need to re-evaluate bone measurements within various contemporary populations.     

A comparison between neural network and other metric methods to determine sex from the upper femur in a modern French population

Forensic anthropologists are frequently asked to assess partial or badly damaged skeletal remains.One such request led us to compare the predictive accuracy of different mathematical methods using four non-standard measurements of the proximal femur (trochanter–diaphysis distance (TD), greater–lesser trochanter distance (TT), greater trochanter width (TW) and trochanter–head distance (TH)). These measurements were taken on 76 femurs (38 males and 38 females) of French individuals. Intra- and inter-observer trials did not reveal any significant statistical differences. The predictive accuracy of three models built using linear and non-linear modelling techniques was compared: discriminant analysis, logistic regression and neural network. The neural network outperformed discriminant analysis and, to a lesser extent, logistic regression. Indeed, the best results were obtained with a neural network that correctly classified 93.4% of femurs, with similar results in males (92.1%) and females (94.7%). Univariate functions were less accurate (68–88%). Discriminant analysis and logistic regression, both using all four variables, led to slightly better results (88.2% and 89.5%, respectively). In addition, all the models, save the neural network, led to unbalanced results between males and females. In conclusion, the artificial neural network is a powerful classification technique that may improve the accuracy rate of sex determination models for skeletal remains.     

Discriminant function sexing of fragmentary femur of South African blacks

When fragmentary and incomplete bones are all that are available to the forensic anthropologist for use in sex determination, non-metric and metric sex discriminating parameters that have been derived from complete bones may be of little use. In such circumstances, sex discriminating metric methods that are of specific application to fragmentary bones will be more useful. Since such studies have not been systematically carried out in bones of South African blacks, the aim of this study was to begin to provide such data. Two hundred and twenty left femurs of black South Africans were obtained from the Raymond A. Dart Collection of African Skeleton, School of Anatomical Sciences, University of the Witwatersrand, South Africa. Five variables from the upper end of the femur and three variables from the lower end of the femur were measured and subjected to univariate and multivariate discriminant function analyses. The vertical head diameter and the medial condylar length were most successful in sex identification from the upper and lower ends of the femur respectively. The combined variables were more useful than the use of variables individually. Discriminant function score equations were derived for individual and combined variables from the upper and lower ends of the femur of the South African blacks.     

应用判别分析法判断胸骨性别的研究

本文测量了85例国人胸骨(男52,女33)的全长、柄长、体长、柄最大宽、体最大宽、柄最大厚及体最大厚七个项目,发现所有项目都具有非常显著的性别差异,但两性间重迭率较高,用单项难以准确判定性别。为此,采用 Fisher 判别分析法建立了判定胸骨性别的判别函数,判别率最高达90%。考虑到残缺胸骨的性别鉴定,亦建立了相应的判别函数。与国外研究相比,本文方法判别率较高且更具有实用价值。