Estimation of Stature from Tibia Length for Romanian Adult Population

The estimation of stature from bones plays an important role in identifying unknown bodies, body parts, or skeletal remains, as it is an important component of the biological profile in forensic identification. The objective of this study is to enhance the development of forensic anthropology in Romania by creating a new regression formula for stature estimation. This can be accomplished from the length of the tibia, taking into account sex and age, for the Romanian adult population. A total of 137 cases from a delimited territory of Romania were included in the study. The length of the tibia and the stature of the individuals were measured before autopsy. Statistical analysis was carried using (Statistical Package for the Social Sciences) SPSS 23. Tibia length showed a high correlation with stature for males, females, and the total sample. Four regression formulae were created for stature estimation of Romanian males, females, and unknown sex. The results of the analysis are impressive and have a good applicability in a forensic anthropological context. The data used in this paper provide reliable results with a large applicability in the future for estimating stature from the tibia length for the Romanian adult population.

Adult Stature Estimation from Radiographic Metatarsal Length in a Contemporary Korean Population

The ability to estimate stature can be important in the identification of skeletal remains. This study aims to develop a Korean-specific equation predicting stature using radiographic measurements in the contemporary Korean population. 200 healthy Korean adults, including 102 males and 98 females, were randomly selected (age, range 20–86 years). The first and second metatarsals of the foot were measured by a standing X-ray using a digital medical image viewer. The result showed a statistically significant correlation between metatarsal length and stature in Korean populations (male, R = 0.46, p < 0.001; female, R = 0.454, p < 0.001). Values of correlation coefficients (R) of the equations were 0.431 to 0.477. Compared to equations derived from other races, the Korean-specific equation showed significantly lower error values for estimating the actual height of Koreans through cross-validation. In conclusion, this study is the first to propose a Korean-specific regression formula for estimating stature using metatarsal length and a verified formula for precise application to the Korean population. However, given the relatively low correlation coefficient, the stature estimation formula derived from this study can be utilized when other bones that allow more accurate stature estimation are not available.

Stature estimation study based on pelvic and sacral morphometric among Malaysian population

Background Virtual anthropology in estimating stature through multislice computed tomography scanning is important for forensic cases and mass disasters. Regression formulae generated directly from other post-cranial skeleton parts can be applied for estimating stature. Literatures have revealed that scoring of pelvic shape in both sexes is significantly correlated with stature. Hereafter, this study aims to correlate the pelvic and sacral morphometric with stature based on sex and ancestry among the Malaysian population from the selected samples of 373 CT images at Kuala Lumpur Hospital. The three-dimensional pelvic girdles were first segmented from CT images through Mimics Research 17.0 software. Inter-landmark distances were measured with Microsoft 3D Builder and their respective indexes were computed. Results This study showed that the auricular lengths, ilium dimension and acetabulum were the most useful stature estimator at R > 0.5. The combination of pelvic parameters, sacral parameters and indexes had contributed to a higher R2 value of the regression models. Conclusions Pelvic morphometric was generally a better stature estimator compared to sacral morphometric. The population-specific formula produced from this study should only be realistic within the Malaysian population. This helps to enhance the existing references for stature estimation especially when incomplete human remains are discovered.

Stature Estimation from Dry Bone and Radiographic Clavicular Measurements in A Thai Population

Stature is one of the main biological features which can be used to classify unidentified skeletal deceased. Also, precise population data is crucial for forensic anthropology frameworks. Nonetheless, the studies concerning this subject in Thailand are limited and regularly focus on long bones. This study attempts to establish stature estimation equations from clavicular dry bone and radiographic measurements. Both sides of the clavicular bones are separated from 25 female and 112 male deceased in an autopsy room situated in Bangkok, Thailand. Twelve variables of each side of the clavicle are measured. The study outcomes show that stature can be estimated by applying 3 variables in a stepwise regression analysis model in unidentified sex remains, with R2 = 0.49 and standard error of estimation (SEE) 5.238 cm. Moreover, the height of the sternal end of clavicle bones can be used to estimate stature in cases of fragmented clavicles recovered from crime scenes with R2 = 0.238 and SEE 6.353 cm. Maximum length shows the best correlation and model fit with stature (R = 0.562, R2 = 0.316 and SEE 6.020 cm) from radiographic measurements. Therefore, this study presents a complementary, beneficial method for forensic anthropologists to create biological profiles of unidentified skeletal remains in cases where the long bones are not obtainable. Moreover, stature estimation from radiographic measurements can be applied in cases of partial skeletonisation.