Anthropometric study using three-dimensional pelvic CT scan in sex determination among adult Indonesian population

• Main Authors: Rosy Setiawati, Rosy, Paulus Rahardjo, Paulus, Ika Ruriana, Ika, Giuseppe Guglielmi, Giuseppe
• Format: Article PeerReviewed
• Language: English; Indonesian; English; English
• Published: Springer Nature 2022
• Subjects: R5-920 Medicine (General)
• Online Access: https://repository.unair.ac.id/124258/1/04.%20Artikel.pdf; https://repository.unair.ac.id/124258/2/4%20karil.pdf; https://repository.unair.ac.id/124258/4/04.%20turnitin.pdf; https://repository.unair.ac.id/124258/9/04.%20New%20Korespondensi.pdf; https://repository.unair.ac.id/124258/; https://link.springer.com/article/10.1007/s12024-022-00526-w#citeas; https://doi.org/10.1007/s12024-022-00526-w
• Institution: Universitas Airlangga

Abstract This study aims to determine pelvic anthropometry characteristics and logistic regression formula for adult sex identification obtained from adult three-dimensional pelvic computed tomography images. This study was an observational analytical study with retrospective regression and cross-sectional approach. The population was all patients at Radiology Installation of Dr. Soetomo General Academic Hospital as referral hospital in East Indonesian region, from September to December 2019 who underwent 3D pelvic 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. All radiologic components were also significantly different between sexes (p < 0.05) except for transverse diameter of sacral segment (p = 0.180). Moreover, the conjugate pelvic inlet diameter (CPID), the left innominate height (LIH), and sub pubic angle (SPA) showed significant values for regression formula to determine an adult’s sex using 3D pelvic CT. The calculation result > 0 is a prediction for female while < 0 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 among adult Indonesians at Dr. Soetomo General Academic Hospital, Surabaya. The estimated values of pelvic measurements using 3D CT images could develop a pelvic model with a regression formula with high accuracy value using CPID, LIH, and SPA values.