Abdalla, M., ali, N., Haba, M., El Elimi, A., Abdel rehman, K. (2022). Sex Identification Using Frontal Sinus Dimensions among Egyptians Attending Suez Canal University Hospital. Zagazig Journal of Forensic Medicine, 20(2), 303-318. doi: 10.21608/zjfm.2022.132060.1114
Metwally El Sayed Abdalla; nahed M ali; Mohamed Refat Haba; Azza Hamdy El Elimi; Khadiga Mohamed Abdel rehman. "Sex Identification Using Frontal Sinus Dimensions among Egyptians Attending Suez Canal University Hospital". Zagazig Journal of Forensic Medicine, 20, 2, 2022, 303-318. doi: 10.21608/zjfm.2022.132060.1114
Abdalla, M., ali, N., Haba, M., El Elimi, A., Abdel rehman, K. (2022). 'Sex Identification Using Frontal Sinus Dimensions among Egyptians Attending Suez Canal University Hospital', Zagazig Journal of Forensic Medicine, 20(2), pp. 303-318. doi: 10.21608/zjfm.2022.132060.1114
Abdalla, M., ali, N., Haba, M., El Elimi, A., Abdel rehman, K. Sex Identification Using Frontal Sinus Dimensions among Egyptians Attending Suez Canal University Hospital. Zagazig Journal of Forensic Medicine, 2022; 20(2): 303-318. doi: 10.21608/zjfm.2022.132060.1114
Sex Identification Using Frontal Sinus Dimensions among Egyptians Attending Suez Canal University Hospital
1Medical Toxicology Department
College of Medicine, Suez Canal University
2forensic medicine and clinical toxicology department, faculty of medicine, Suez canal university
3Radiology Department, Faculty of Medicine ,suez canal university,
4Medical Toxicology Department College of Medicine, Suez Canal University
5Forensic and Toxicology Department College of Medicine, Suez Canal University
Abstract
Abstract Background: Sex identification is an important step in the identification of unknown human remains, the frontal sinuses are significant in forensic identification due to its irregular shape. Aim: Getting accurate method for sex identification among Egyptian population through frontal sinus diminutions using CT. Subjects and Methods: cross-sectional descriptive study, using 172 unidentified para-nasal CT images from diagnostic radiology department of Suez Canal University Hospital in Ismailia, which usually receives patients from Suez Canal region. CT images from patients aged from 21 to 50 years were divided into two groups, group one,86 Para-nasal CT images of known sex in which males and females were equally included and group two,86 Para-nasal CT images in which; the sex was not known to the researcher. Comparison and correlation tests were done to detect the variables with highly statistically significant in sexual dimorphism between two sexes. These highly statistically significant variables were used to develop binary logistic regression formula for sex identification. Results: only 4 variables with highest significance and correlation which were Right sinus width (RW), maximum total width (MW), maximum total height (MH) and right anterior posterior length (RL), binary logistical regression formula shows overall accuracy of 73.2 %, Conclusion: CT analysis of frontal sinuses measurements provides a valid and reasonable method for sex identification KEYWORD : frontal sinuses measurements, computed tomography, sex determination formula