Stature being a very important data for creating the identification profile of any individual, has immenseanthropological and forensic importance. Often the unavailability of intact long bones poses for difficulty toestimate the stature. So reconstruction of the total femoral length from its different fragments by applyingdesired statistical methods can be used as a very important tool for it. The present cross-sectional study wasdesigned aiming for a specific formula-based model in Eastern Indian population. Fully ossified, intact, dried60 femora of Department of F.S.M., Burdwan Medical College were measured using Hepburnās OsteometricBoard and sliding digital. All the measurements were performed by multiple examiners to exclude observerbiasness and the mean value was recorded. Linear regression analysis was performed using maximum Femurlength as the dependent variable and the different fragments as predictors to form a linear relationship withhelp of SPSS Statistical software. P value of <0.05 was considered significant. Among all the measured data,the Epicondylar Breadth, Midshaft antero-posterior Diameter and Transverse Head Diameter were foundas statistically reliable predictors for determination of the maximum Femoral length. This finding is thushelpful in practical scenario when either the upper end or lower end of the femur is destroyed.
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