Purpose: This prospective cohort study aims to determine the correlation between morphometric measurements and the carrying angle of human elbow.Methods: One hundred forty children were enrolled in the study. They were evaluated for age, sex, morphometric measurements, clinical carrying angle (CCA) and radiological carrying angle (RCA). The morphometric measurements included in the study were length of arms and forearms, inter-epicondylar distance of both sides, trans-trochanteric distance, height and body mass index. The mean of carrying angles in unrelated groups (gender and secondary sexual features) was compared using the unpaired t-test. Pearson's correlation coefficient was calculated to determine the strength and direction of the relationship between carrying angle and continuous variables (age, height, body mass index, forearm length, arm length, inter-epicondylar distance and trans-trochanteric distance).Results: The mean age was 5.84±4.76 years. Ninety-eight (70%) were males, and forty-two (30%) were females. The means of RCAs of the left side and right side were 9.07±2.13 and 8.85±2.09, respectively. The mean values of CCA on the left side and right side were 8.77±2.03 and 8.55±2.01 each. A significant positive correlation was found between CCA and age, weight, height, arm length, forearm length, inter-epicondylar distance and trans-trochanteric distance. CCA was found to be significantly negatively correlated with body mass index. Conclusion: CCA is significantly correlated with age, BMI and morphometric measurements.

Purpose This prospective cohort study aims to determine the factors that are associated with the carrying angle of the human elbow in the pediatric age group. Methods One hundred forty children up to 15 years of age were assessed for age, sex, forearm lengths of both sides, arm length of both sides, trans-trochanteric diameter, height, BMI, the inter-epicondylar distance of both sides, Baumann’s angle of both sides, presence or absence of secondary sexual characteristics, clinical carrying angle (CCA) of both sides, and radiological carrying angle (RCA) of both sides. Unpaired t-test was used to compare the means of carrying angle in the unrelated groups, namely gender and secondary sexual characteristics. The strength and direction of the relationship between carrying angle and continuous variables were tested by calculating Pearson’s correlation. Variables found to be associated with carrying angle at significance level >0.25 on bi-variable analysis were used to design a linear regression model to identify factors associated with carrying angle. Results The mean age was 5.84±4.76 years. Ninety-eight (70%) were males, and forty-two (30%) were females. The mean CCA on the right side was 8.55±2.01. The mean CCA on the left side was 8.77±2.03. The mean RCA on the right side was 8.85±2.09. The mean RCA on the left side was 9.07±2.13. On bi-variable analysis, the CCA was found to be associated with age, secondary sexual characteristics, weight, height, arm length, forearm length, inter-epicondylar distance, trans-trochanteric distance, and Baumann’s angle. CCA was found to be significantly negatively correlated with BMI. On multivariate linear regression, the CCA was found to be associated with age and inter-epicondylar distance. Conclusion Age and inter-epicondylar distance are the true associations of carrying angle.

Introduction Bone mineral density (BMD) is an essential indicator for diagnosing osteoporosis and evaluating the success of osteoporotic treatment. Dual-energy X-ray absorptiometry (DEXA), quantitative ultrasonography (QUS), and quantitative computed tomography (QCT) are frequently used for measuring BMD. The objective of the study was to evaluate the ability of QUS to screen for osteoporosis and bone density in postmenopausal women by calibrating it against DEXA. Methods This cross-sectional study was conducted at the Department of Orthopedics and Trauma Center of the tertiary care center, Lucknow. A total of 90 patients visited this department from August 2017 to July 2018 for the present study. BMD in the same patient was evaluated by using DEXA and ultrasonography methods. Data were entered in Microsoft Excel and analyzed by using SPSS Software. Results According to linear regression analysis, T neck was found statistically significant with T QUS (p<0.001) and z QUS (p<0.001). T lumbar and T wrist were found statistically significant with T QUS (p<0.001) but not with z QUS (p>0.001). Z neck was found statistically significant with T QUS (p<0.001) and z QUS (p<0.001). Z lumbar was found statistically significant with T QUS (p<0.001) but not with z QUS (p>0.005). Z wrist was not found statistically significant with T QUS (p>0.005) or with z QUS (p>0.005). Conclusion In the present study, we found that QUS can be used as a screening tool for detecting osteoporosis by measuring BMD in contrast to DEXA. QUS also can be used to predict the DEXA values for osteoporosis and to detect osteoporosis.