Estimation of Gender from Anteroposterior Pelvis Radiograph among Nepalese population

• Published in: Journal of medical imaging and radiation sciences Vol. 53; no. 4; pp. S32 - S33
• Main Authors: Sah, S, Kisi, K, Duwal, S, Dangal, A, Shrestha, S, Chhetri, KR, Surendra, M
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2022
• Subjects: binary logistic; gender estimation; Nepalese; pelvis; radiograph; pelvis; Nepalese; radiograph; gender estimation; binary logistic
• ISSN: 1939-8654; 1876-7982
• DOI: 10.1016/j.jmir.2022.10.107

Gender determination is a crucial task in forensic medical sciences. Estimating gender is essential to reveal the identity of an unknown individual. In this study, we aim to determine gender by using an anteroposterior (AP) pelvis radiograph. Patients referred for AP pelvis radiograph at the Department of Radiology & Imaging, National Trauma Center, Kathmandu, Nepal from November 2020 to January 2021 were included in this study. Four pelvic factors were measured: transverse diameter of the pelvic brim, subpubic angle, length of the pubic symphysis, and ischiopubic index. Data were measured in ImageJ software, 1.51t version, NIH, Bethesda, Maryland, United States. Data analysis was performed in SPSS software, version 27. The normality of the data was checked using the Shapiro-Wilk test. P-value was set at a 5% level of significance. Two sample t-test was carried out to determine the statistical value. Binary logistic regression (BLR) was conducted to estimate gender from the measured data. A total of 197 patients, 134 male (68%), and 63 female (32%), with an age range of 16 to 60 years were included in this study. There was a statistically significant difference in transverse diameter, subpubic angle, length of the symphysis pubis, and ischiopubic index at p<0.05. Multi-variate BLR model of four sets of predictors was statistically significant, χ2(4) =200.09, p<0.05. The model explained 89.3% (Nagelkerke R2) of the variance in gender and the accuracy of the model was 96.4%.  The subpubic angle provided the highest accuracy of 90.9% in single variable BLR prediction. Gender could be estimated with higher accuracy using a pelvis AP radiograph. Subpubic angle could be used as a better predictor.