Stature estimation using scapula measurements by postmortem computed tomography in the southern Thai population

Abstract

Abstract Background Estimating stature is crucial information of biological profile analysis, especially for identifying skeletal remains. Measuring long bones is the most accurate method for estimating stature. However, when it is not possible to obtain long bones, alternative non-long bone components such as scapula may need to be used. This study developed the stature estimation model utilizing postmortem computed tomography (PMCT) based on scapular dimensions in the southern Thai population. Result Regression equations for stature estimation were developed using 13 scapular measurements obtained from PMCT scans of 201 cadavers (151 males, 50 females). For single linear regression, the combination of transverse and longitudinal scapular length (CTLSL) produced the lowest standard error of estimation (SEE) for males (5.688 cm) and the combined group (5.971 cm), while the combination of longitudinal maximum and longitudinal scapular length (CLMLSL) was best for females (6.333 cm SEE). Stepwise multiple regression analysis improved the accuracy of the combined and male equations, with SEE of 5.645 cm and 5.266 cm, respectively, using longitudinal maximum length (LML), length of axillary margin (LAM), and transverse scapular length (TSL) for the combined group, and LML, LAM, and the combination of all horizontal parameters (CAHP) for males. The female equation did not improve with multiple regression analysis. Conclusion The result of this study indicated that scapular measurements can be used to estimate stature in the southern Thai population, particularly when long bone measurements are not available.

Keywords

• Stature estimation
• Scapular measurement
• Computed tomography
• Southern Thai population