Estimation of stature from radiographically determined lower limb bone length in modern Chinese

Zhang, Kui; Zhan, Meng‐jun; Cui, Jing-hui; Luo, Ying-zhen; Qiu, Li-rong; Deng, Liping; Li, Zhenlin; Chen, Xiaogang; Deng, Zhenhua

doi:10.1016/j.jflm.2019.02.012

Cited by 6 publications

(2 citation statements)

References 47 publications

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“…Recently, new equations have been developed based on different populations and different skeletal elements using a skeletal element itself or computed tomography (CT) imaging on skeletal elements such as the cranium , scapula , vertebrae , sternum , hand and foot bones , and long bones . However, the long bones especially the lower limbs are still stipulated to be more accurate and can be used as an ideal element for stature estimation in forensic anthropology .…”

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Stature Estimation from Postmortem CT Femoral Maximum Length in Contemporary Danish Population

Zhang

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et al. 2019

Journal of Forensic Sciences

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Stature estimation methods for Danish adult population have generally relied on Trotter and Gleser's and Boldsen's regression equations that are based on the skeletal remains of recent war dead American Whites, Terry Skeletal Collection, and Danish archaeological medieval skeletal materials, respectively. These equations are probably not suitable for stature estimation in contemporary Danish forensic cases. Furthermore, because postmortem computed tomography (PMCT) is now routinely performed at Danish forensic departments, equations based on PMCT, rather than measurements of defleshed bones, are needed. The aim of this study was to develop new equations for adult stature estimation based on PMCT femoral measurement. Maximum femoral length was measured on the PMCT images of 78 individuals (41 males and 37 females) aged 23-45 years. The measurement accuracy was tested on dry bones, and all the measurements were included in the inter-and intra-observer analyses. Both analyses results demonstrated the reliability of the method and data. Comparison between the living stature of the individuals and the estimates based on the equations by Trotter and Gleser and Boldsen demonstrated the unreliability of the previous equations to some extent. New regression equations were then developed and validated on a different sample of 18 Danish forensic cases. Comparisons of all the equations indicated that both the sets of previous equations underestimated the stature in the new validation dataset. The new equations developed in this study provide a reliable alternative for stature estimation in modern Danish forensic cases.

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Stature Estimation from Postmortem CT Femoral Maximum Length in Contemporary Danish Population

Zhang

Paz

Banner

et al. 2019

Journal of Forensic Sciences

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“…Studies have shown that radiographically determined long bone lengths could provide stature estimates using regression formula and x-ray imaging is valuable in anthropological assessment of an individual [9][10][11][12][13][14][15][16][17][18][19]. In this study, roentgenography (an imaging technique using x-rays to view the internal structure of an object) was applied to the process of stature estimation.…”

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Stature estimation from humeral length amongst Nigerians: A radiographic approach

Oghenemavwe¹,

Agi²

2022

World J. Bio. Pharm. Health Sci.

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Stature is an essential anatomical parameter for creating the biological profile of persons in forensic analysis. The aim of the study was to establish regression formulae for the estimation of stature from plain radiographs of humerus. A total of 90 subjects (49 males and 41 Females) were recruited randomly for the study at the Lulu-Briggs Health centre, University of Port Harcourt. An x-ray of the humerus was taken after measuring the heights of volunteers. The films obtained were later fixed to an x-ray illuminator where the humeral length (HML) was measured using a lead pencil and ruler. Statistical analysis was done for all parameters (stature and humeral length) using SPSS. Pearson’s co-efficient of stature versus HML were 0.66 for males and 0.50 for females. The regression equation for estimation of stature were 2.45 (HML) + 89.20 for males and 2.16 (HML) + 97.17 for females. Standard error for regression formula derived was observed to be 0.41cm in males and 0.59 cm in females which indicates a high level of reliability on the formula and proves further to show that the humerus is a good predictor of stature. In conclusion, the use of x-ray is a reliable procedure and a practical approach in stature estimation and the humerus is a good predictor of stature in the Nigerian population.

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Piecewise regression equations for estimating stature: an anthropometric study in Spanish females

et al. 2020

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Estimation of stature from radiographically determined lower limb bone length in modern Chinese

Cited by 6 publications

References 47 publications

Stature Estimation from Postmortem CT Femoral Maximum Length in Contemporary Danish Population

Stature Estimation from Postmortem CT Femoral Maximum Length in Contemporary Danish Population

Stature estimation from humeral length amongst Nigerians: A radiographic approach

Piecewise regression equations for estimating stature: an anthropometric study in Spanish females

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