@article{Rakesh K. Vora_Satish M. Patel_2019, title={Estimation of Total Femoral Length from EpicondylarBreadth of Femur}, volume={5}, url={http://aijournals.com/index.php/aanat/article/view/994}, DOI={10.21276/aanat.2019.5.2.8}, abstractNote={<p><strong>Introduction: </strong>Stature is an important tool for identification and unique data of human being. Estimation of stature from bones is important for forensic as well as anthropological studies. It is necessary to derive the regression equations from the fragments of femur for medico legal situations. Thus from lower end of femur, estimation of total femoral length can be calculated and then this can be used to get stature by deriving statural formulae. In this study, regression equation for the estimation of total femoral length from epicondylar breadth of femur was computed. &nbsp;<strong>Subjects and Methods</strong>: Total 208 normal dry human femur bones which were preserved in antomy department of different medical colleges of Gujarat were studied. Total Femoral Length and Epicondylar Breadth of the Femur bone were measured for this study. <strong>Results: </strong>Epicondylar Breadth of femur displayed the higher correlation (0.828) with Total Femoral Length (TFL) for an individual measurement. As per regression analysis, regression equation is derived which is, B=338.004 + A * 1.390, Where A=Epicondylar Breadth of femur, and B= Total Femoral Length. Then the stature can be estimated by this total Femoral Length by the regression equations or the multiplication factors which are already established by various studies. <strong>Conclusion: </strong>The total Femoral Length can be estimated from fragmentary lower end of the femur. The total femoral length can be estimated by the equation presented in this study even in the absence of intact femur bone, and by which the stature can be estimated in sex and population sample.</p&gt;}, number={2}, journal={Academia Anatomica International}, author={Rakesh K. Vora and Satish M. Patel}, year={2019}, month={Oct.}, pages={25-28} }