Stature Estimation from Femur and Humerus Bone Using Radiographic Images in Eastern Uttar Pradesh

Abstract

This study developed region-specific regression models for stature estimation using femur and humerus measurements from CT scans of 300 individuals (150 males, 150 females) from Eastern Uttar Pradesh, a demographically diverse region, with ethical approval obtained. MS Excel, descriptive statistics, regression, and correlation analysis were used for the analysis. The findings suggested strong correlations between bone length and stature, with femur length being more predictive for females and humerus length for males. The proposed models demonstrated high accuracy and predictive power (high R² values), emphasizing the importance of population-specific approaches in forensic anthropology. These findings will continue to provide a reliable database for stature estimation in forensic and anthropological contexts, with potential for broader application in future studies incorporating larger samples and additional variables.