Anthropometry Study Using Adult Pelvic 3D CT for Determining Sexes at Dr. Soetomo General Hospital, Indonesia

Abstract

\n Pelvic bones are the most reliable indicator of sex in adults because of its sexual dimorphism. Medical imaging modalities e.g. Computed Tomography (CT) provide data sources to examine modern human variation quantitatively. This study aims to determine pelvic anthropometry characteristics and logistic regression formula for adult sex identification obtained from pelvic 3D CT. This study was an observational analytical study with retrospective regression and cross-sectional approach. The population was all patients in Radiology Installation of Dr. Soetomo General Hospital, Surabaya, Indonesia, from September to December 2019 who underwent pelvic 3D CT examination. Then, age distribution and pelvic measurements data were obtained. In this case, statistical analysis was conducted for all the data obtained. A number of 204 samples were included in this study. Mean age of the patients was 50.23\u2009±\u200914.36 years. All radiologic components were also significantly different between sexes (p\u2009<\u20090.05) except for transverse diameter of sacral segment (p\u2009=\u20090.180). Moreover, eta test was performed and found that APOD, CPID, LIH, TPO, and SPA had the strongest correlation. Those variables were used for making statistical models with logistic regression as sex = (0,125 x CPID) – (0,180 x LIH) + (0,078 x SPA)\u2009+\u20098,912. The calculation result\u2009>\u20090 is a prediction for female while\u2009<\u20090 is a prediction for male. From logistic regression model calculation, a high validity value (91.05%) was found with 100% sensitivity to identify male sex and 81.1% specificity to identify female sex. There were differences on radiometric variable characteristics in pelvic anthropometric study. The regression formula for sex determination in adults using 3D-CT pelvic provides a pelvic model sex determination with higher validity and sensitivity for male identification, as well as higher a specificity for female identification