运用数字X线摄影法测量跟骨推算身高

目的测量跟骨侧位数字X线摄影（DR）片上相关长度指标,建立跟骨推算身高的回归方程。方法应用数字X线摄影方法,在393例（男性174例,女性219例）活体（四川汉族成年人）跟骨侧位DR片上测量5项长度指标,同时测量其身高。通过各项长度测量指标与身高的线性回归分析,建立跟骨推算身高的回归方程;并对所建方程进行身高预测值与实际值的配对t检验、残差分析、等方差性检验及共线性检验。结果共建立有统计学意义的一元回归方程10个,多元回归方程3个。回归方程的复相关系数（R）在0．653～0．218范围内,身高估计值标准误（SE）在4．59～6．68cm范围。结论本研究所建立的身高推算方程,可作为四川汉族人群跟骨推算身高的依据。     

放射影像学方法测量活体女性颈椎推算身高

目的测量颈椎高度建立四川汉族女性人群的身高推算方程，为法医学个人识别提供帮助。方法应用计算机X线摄影放射学方法，在209例四川汉族女性颈椎CR片上测量C3～C7椎体高度，并准确测量身高。按年龄是否大于45岁进行分组，对各颈椎的测量数据与身高进行线性回归分析，建立颈椎推算身高的回归方程。结果共建立一元回归方程36个，多元回归方程12个，所有回归方程经线性回归模型假设检验，均有统计学意义（P〈0．05）。所建立的回归方程的复相关系数（r）在0．628～0．280范围内，回归方程的标准误在4．03～5．03cm范围内。结论本研究所建立的回归方程，可用于四川汉族女性颈椎的身高推算。     

X线摄影测量活体胫腓骨长度推算身高

目的应用计算机X线摄影（computer radiography,CR）测量活体胫腓骨长度,建立适合当代中国北方汉族人群胫腓骨长度推算身高的数学模型。方法在422例（男性207例．女性215例）活体山东汉族成年人的胫腓骨正位CR片上测量5项长度指标,同时测量其身高。通过各项测量指标与身高的线性回归分析、线性回归模型假设检验的方差分析以及偏回归系数的t检验．建立运用胫腓骨长度推算身高的回归方程;并对所建立的方程进行身高预测值与真实值的配对t检验、残差分析等方程的预测与诊断。结果共建立有统计学意义的一元回归方程35个一所建立的回归方程的相关系数在0．909～0．823范围内．回归方程的估计值标准误在2．48～3．87cm范围结论应用CR放射学方法测量胫腓骨长度推算身高．可以为法医学个人识别身高推算提供帮助,建立的回归方程适用于中国北方汉族人群胫腓骨的身高推算。     

中国人长骨推算身高之比较

中国人长骨推算身高回归方程最早为英国人P·H·Stevenson（1929）用48具华北男尸得出[1]；其后，王永豪（1979）用重庆地区40具成年男尸得出西南地区男性成年长骨推算身高公式［‘j；莫世泰（1983）收集华南地区50具骨骼材料得出华南地区男性成人长骨推算身高公式［’］；有九省、区公安厅及公安部126所参加，陈世贤执笔发表的《中国汉族男性长骨推算身高的研究》[4]，共收集男性干燥骨骸472付，得出回归方程37O项，附表列出21～30岁组右侧长骨推算身长回归方程10项。根据不同长骨长度得出的身长值，画出不同地区推算身长的回归直线（附…     

计算机X线摄片测量四川地区活体男性颈椎推算身高

目的 以计算机放射学(computer radiography,CR)X线摄影方法,摄颈椎侧位CR片,测量颈椎高度,建立推算身高的回归方程.并评估放射学方法测量颈椎高度推算身高的可行性.方法 在150例四川汉族成年活体男性颈椎CR片上测量C3～C7前、后缘高度,同时测量其身高.通过各项颈椎测量指标与身高的线性回归分析,建立颈椎推算身高的回归方程;并对方程进行身高预测值与实际值的配对t检验、残差分析、等方差性检验以及共线性检验等方程的预测与诊断.结果 共建立有统计学意义的一元回归方程31个,多元回归方程20个.所建立回归方程的复相关系数在0.656～0.259范围内,身高估计值标准误在4.30-5.79cm范围.结论 所建立的回归方程适用于四川汉族成年男性颈椎身高推算.应用CR放射学方法测量颈椎高度推算身高,可以为法医学个人识别身高推算提供帮助.     

数字X线测量上肢长骨推算身高

目的应用数字X线测量上肢长骨,建立适合当代中国四川汉族人群长骨推算身高的回归方程。方法按纳入标准对365例四川汉族正常人进行身高测量及上肢的数字X线检查,测量上肢各长骨不同标志点之间的长度,用SPSS统计软件对各测量值与身高进行相关回归分析,并对回归方程进行回代检验。结果共建立27个一元回归方程以及3个多元回归方程,各方程都具有统计学意义。上肢长骨中,尺骨相关性大于桡骨,男性相关性大于女性,多元回归方程的准确性高于一元回归方程。结论放射学方法测量长骨推算身高是一项简单、实用的方法,更适合上肢尸块的个人识别,值得进一步研究。     

山东半岛地区大学生手长足长与身高关系的研究

对山东半岛地区1000名汉族大学生的手长、足长和身高进行活体测量。经统计学处理，求出由手长、足长与身高相互推算的回归方程式。相关系数为0．51～0．66，其中男性高于女性。由手长推算身高的回归方程式较由足长推算身高的回归方程式，有较高的相关系数和较低的标准估计误差。     

应用锁骨薄层CT容积重建影像推算四川汉族身高

目的探讨锁骨薄层CT三维容积重建影像(CT-VRT)在身高推算中的应用价值,以期更新我国西南地区身高推算数据,为鉴定实践提供技术支撑。方法应用300例锁骨薄层CT-VRT影像,测量并计算左侧锁骨长(LCL)、右侧锁骨长(RCL)、双侧锁骨均长(ACL),分析身高与LCL、RCL、ACL相关性及性别差异,建立身高推算线性回归方程,并对所建模型进行回代检验。结果男性、女性ACL和身高的相关系数分别为0.534、0.707;LCL和身高的相关系数分别为0.484、0.680;RCL和身高的相关系数分别为0.523、0.695。分别建立ACL、LCL、RCL男女性身高推算线性回归模型。回代检验示ACL方程男性身高推算平均绝对误差(MAD)为4.48cm,女性MAD为3.51cm;LCL方程男性身高推算MAD为4.60cm,女性MAD为3.64cm;RCL方程男性身高推算MAD为4.49cm,女性MAD为3.59cm。结论建立的推算身高的回归方程具有统计学意义,模型预测精度较高,表明利用薄层CT-VRT影像测量的锁骨可运用于四川汉族人群身高推算研究。但模型R2较小,因此在应用ACL进行身高推算时最好结合其他指标。     

根据中国汉族成年男性椎体推断身长

对113具有确切生前资料记载的中国汉族成年男性的颈、胸、腰椎椎体前后高进行测量，求出了中国汉族成年男性颈、胸、腰椎椎体前后高的正常值。同时对测量数据用多元线性回归和逐步回归的方法进行统计处理，得到了16个根据颈、胸、腰椎椎体前后局测量推算身长的回归方程。复相关系数R在0．37～0．81之间，标准差在5厘米左右，有一定实用价值。     

根据X线片跖趾骨长宽度推算0～17岁个体身高年龄

本文通过1607例儿童青少年跖趾骨长度和宽度与身高和年龄的相关回归分析，发现两者之间呈高度正相关，相关系数γ=0．859～0．998，相关检验和回归检验P＜0．0025～0．0005，据此分别计算出各跖趾骨长度、宽度推算身高、年龄的直线回归方程，为法医学、人类学提供了基础资料。     

Sex determination and estimation of stature from the long bones of the arm

The determination of sex and the estimation of stature from bones play an important role in identifying unknown bodies, parts of bodies or skeletal remains. In medico-legal practice statements on the probable sex of a decomposed body or part of a body are often expected even during autopsy. The present study was, therefore, restricted to few easily accessible dimensions from bones which were prepared only by mechanically removing soft tissues, tendons and ligaments. The specimens came from the Anatomical Institutes in Munich and Cologne from the years 1994-1998 including a total of 143 individuals (64 males and 79 females). The mean age was 79 years (46-108), the mean body height 161cm (134-189). The following measurements were taken: maximum humeral length (mean: 33.4cm in males; 30.7cm in females), vertical humeral head diameter (mean: 5.0cm in males, 4.4cm in females), humeral epicondylar width (mean: 6.6cm in males; 5.8cm in females), maximum ulnar length (mean: 26.5cm in males, 23.8cm in females), proximal ulnar width (mean: 3.4cm in males, 2.9cm in females), distal ulnar width (mean: 2.2cm in males; 1.8cm in females), maximum radial length (mean: 24.6cm in males; 22.0cm in females), radial head diameter (mean: 2.6cm in males, 2.2cm in females) and distal radial width (mean: 3.6cm in males; 3.2cm in females). The differences between the means in males and females were significant (P<0.0005). A discriminant analysis was carried out with good results. A percentage of 94.93% of cases were correctly classified when all measures of the radius were applied jointly, followed by humerus (93.15%) and ulna (90.58%). Applied singly, the humeral head diameter allowed the best distinction (90.41% correctly grouped cases), followed by the radial length (89.13%), the radial head diameter (88.57%) and the humeral epicondylar width (88.49%). The linear regression analysis for quantifying the correlation between the bone lengths and the stature led to unsatifactory results with large 95%-confidence intervals for the coefficients and high standard errors of estimate.     

Stature estimation from long bone lengths in a Thai population

The estimation of stature is a very important step in developing a biological profile for forensic identification. However, little previous work has been done on stature estimation among modern Thai people, despite a growing number of forensic cases in Thailand in recent years. The current study was carried out on a sample of 200 skeletons from a northern Thai population (132 males and 68 females), ranging in age from 19 to 94 years. The maximum lengths of six long bones (humerus, radius, ulna, femur, tibia and fibula) were measured and stature reconstruction formulae generated using linear regression. These equations were then tested on a holdout sample of 15 females and 15 males. Results reveal that the three lower limb bones are the most accurate estimators of stature among the males, with the fibula equation producing the lowest standard error of the estimate (SE=4.89cm), followed by the femur (SE=5.06cm). Results for females were mixed. The femur produced the lowest standard error among the females (SE=5.21cm), followed by the radius (SE=5.63cm). However, when tested against the holdout sample (n=30), the femur equations were considerably more accurate, with a mean absolute error of 3.5cm and a median absolute error of 2.4cm. Females exhibited a higher standard error of the estimate than reported in many previous studies. This higher error may be the result of a recent secular trend in stature affecting the females of our sample somewhat more than the males.     

Determination of stature from skeletal and skull measurements by CT scan evaluation

The aim of this article is to find a correlation between height and femur/skull measurements through Computed Tomography (CT) scans and derive regression equations for total skeletal height estimation in the Caucasian population. We selected 200 Caucasian patients from March 2010 to July 2011 who had to perform a CT scan for cancer restaging. The mean age is 64.5 years. Both sexes are represented by the same number of persons. Patients have executed a total body CT scan with contrast; once scan accomplished, we measured height through a digital scales. We analyzed CT scans of each patient, obtaining multiplanar reconstruction in sagittal and coronal planes with 1mm of thickness, and we measured 10 diameters of skull and femur. Then we performed a single and a multiple regression analysis considering the three diameters that better correlated with height. The skeletal diameters with the highest correlation coefficients with stature were femur lengths, length of cranial base (Ba-N), and distance from the posterior extremity of the cranial base to the inferior point of the nasal bone (Ba-NB). Although both femur and skull are skeletal segments used for stature estimation, in our sample femur gave stronger correlation with height than skull. h=35.7+1.48·BaN+2.32·BaNB+2.53·FEM and h=3.06·FEM+72.6 are the formulae that provided the most accurate stature assessment using multiple and single regression analysis respectively.     

Stature estimation from fragmentary femora: a revision of the Steele method

The skeletal remains presented to forensic anthropologists are often fragmentary. Previously described methods of estimating stature from segments of long bones have not proved satisfactory because of the difficulty involved in identifying the precise anatomical landmarks by which they are defined. This study represents an assessment of the feasibility of stature estimation from fragmentary femora. A sample of 200 males and females, blacks and whites (total sample = 800), was obtained from the Terry Collection. New regression equations for the estimation of maximum femur length and stature from three well-defined and easy-to-measure segments of the femur are presented. This technique represents an improvement over methods currently in use for estimating stature from femur fragments; the location of the anatomical landmarks and the accuracy of the prediction are enhanced. The applicability of these formulae to a modern forensic sample is addressed with regard to secular trends in stature increase and changes in body segment proportions.     

计算机X线成像测量青少年四肢长骨推算身高

目的 应用计算机X线成像(computed radiographv,CR)测量活体上肢骨及胫腓骨正位片上相关指标,建立适合当代中国四川地区汉族14～18岁人群运用上肢骨及胫腓骨推算身高的数学模型.方法 对194例14～18岁四川汉族健康青少年进行左侧肢体上肢骨及胫腓骨正位摄片,测量特定标志点间距离,同时准确测量其身高....     

Stature estimation from foot dimensions

Identification of an individual is the mainstay in forensic investigations. The dimensions of the foot have been used for the determination of sex, age, and stature of an individual. The present study examines the relationship between stature and foot dimensions among Gujjars, a North Indian endogamous group. Stature, foot length and foot breadth of 200 subjects comprising 100 males and 100 females were measured. Statistical analyses indicated that the bilateral variation was insignificant for all the measurements except foot breadth in males (p<0.01). Sex differences were found to be highly significant for all the measurements (p<0.01). Linear and multiple regression equations for stature estimation were calculated using the aforementioned variables and multiplication factors were computed. The correlation coefficients between stature and foot dimensions were found to be positive and statistically highly significant. The highest correlation coefficient between stature and foot length in males and foot breadth in females indicates that the foot length provides the highest reliability and accuracy in estimating stature of an unknown male and foot breadth in a female. Prediction of stature was found to be most accurate by multiple regression analysis.