Original Research Article
Year: 2019 | Month: September | Volume: 9 | Issue: 9 | Pages: 65-69
Estimation of Gender Accuracy of an Individual by Zygomatic Bone Measurement Using Multi-Detector Computed Tomography Scan in Kannada Population - A Forensic Study
Manna Debnath1, Dolly Sharma1, Rahul P. Kotian2, Bryal Dsouza3
1Assistant Professor, Department of Medical Imaging Technology, Charotar Institute of Paramedical Sciences, Charusat University, Changa, Gujarat, India.
2Assistant Professor, Department of Medical Imaging Technology, Manipal School of Allied Health Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India.
3Assistant Professor, MHA Program, Department of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Corresponding Author: Manna Debnath
ABSTRACT
Objectives: To determine the significant difference in the Bi-Zygomatic measurements between males and females. To evaluate the accuracy of gender determination using Bi-Zygomatic measurements in Multi-Detector Computed Tomography Scan
Materials and Methods: The present retrospective study was performed on 70 patients (35 males and 35 females) within the age range 20 – 60 years, who all came to CT brain due to clinical reasons at the Department of Radio-diagnosis and Imaging, Kasturba Medical College, Manipal, Karnataka, India. MDCT scan was performed and brain images were reconstructed using Volume Rendering (VR) technique, then Bi-zygomatic width was measured on 3D face CT. Descriptive statistics (i.e. mean and standard deviation) of Bi-zygomatic measurements were compared and calculated.The data which have been collected was analysed using Independent sample t-test and discriminant analysis.
Results: Bi-zygomatic measurements showed statistically significant difference between both the groups i.e male and female group (p<0.001). Wilks’ lambda test showed the accuracy of the study. In present study, the value of Wilks’ lambda is 0.400.The ultimate result of discriminant analysis showed the ability of the Bi-zygomatic measurement to identify the gender with an overall cross- validated accuracy of 91.4%.
Conclusion: In current study estimation of gender using Bi-zygomatic measurement was well established. Zygomatic measurement/Facial width can be useful to determine gender with high accuracy in Kanara population.
Key words: Bi-zygomatic length, Gender estimation, Kanara population, Volume Rendering