Estimation of Gender by Costochondral Calcification Model Obtained from Computed Tomography Image

Authors : Albaraa Rıyadh Mohammed ALSAMANEE, Zülal ÖNER, Serkan ÖNER

Pages : 471-476

Doi:10.35440/hutfd.1122584

View : 16 | Download : 8

Publication Date : 2022-12-27

Article Type : Research Paper

Abstract :Abstract Background: Gender estimation plays a key role in human identification. Between the various measurement methods of gender estimation from skeletal remains, the use of the calcification patterns of costal cartilages is highly suggested especially when the skull and pelvic bones are not available. The purpose of this study is to determine the patterns of costal cartilage calcifications in the Turkish population and to predict gender accordingly. Materials and Methods: Our study was performed by using the Computed Tomography insert ignore into journalissuearticles values(CT); images of 200 individuals insert ignore into journalissuearticles values(100 female, 100 male); in the 20-60 age group who applied to Karabük University Training and Research Hospital and had no costal pathology or surgery history. The classification of Rejtarova et al. insert ignore into journalissuearticles values(2004); was used for the patterns of costal cartilage calcifications, and it was calculated the number and percentage of each pattern in male and female to estimate the gender. Results: The results showed 193 insert ignore into journalissuearticles values(96.5%); individuals with calcification in the costal cartilages and 7 insert ignore into journalissuearticles values(3.5%); individuals without calcification in their costal cartilages, in which 3 females and 4 males. Peripheral pattern insert ignore into journalissuearticles values(Type I); showed 100% male gender prediction, while central pattern insert ignore into journalissuearticles values(Type II); showed female gender prediction with 92.3%. Type III was the most common pattern with 66.8% in the Turkish population. Conclusions: As a result of this study, costal cartilage calcification models were obtained in the Turkish population using the method of Rejtarova et al insert ignore into journalissuearticles values(2004);. Type I and Type II patterns showed high accuracy in terms of the usability of these models in predicting gender. Keywords: Computed Tomography, Costal Cartilage, Calcification, Gender Estimation
Keywords : Computed Tomography, Costal Cartilage, Calcification, Gender Estimation