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Abstract
Accurate sex estimation is crucial for comprehensive analysis of the biological profiles of unidentified human skeletal remains. However, there is a notable lack of research specifically addressing the morphometrics of the hard palate. Therefore, this study aimed to derive discriminant equations using the hard palate and assess their applicability for sexing partial skeletal remains in a contemporary Korean population. Statistical analyses were performed for 24 measurements derived from three-dimensional models of the hard palate, generated using computed tomography scans of 301 individuals (156 males, 145 females). Descriptive statistics revealed significant sexual dimorphism in the mean comparison of hard palate sizes between Korean males and females, with males exhibiting larger palates across all measurements (p < 0.05). Discriminant function score equations were generated to aid in sex determination. Univariate analysis yielded an accuracy range of 57.8–75.1%, whereas the stepwise method achieved an accuracy of 80.7% with five selected variables: IF-PNS, GFL-GFR, IF-GFR, Pr-EcL, and Pr-EnR. The results of this metric analysis demonstrate the usefulness of the hard palate for sex estimation in the contemporary Korean population. These findings have potential implications for forensic investigations, archeological studies, and population-specific anatomical research.
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Details
1 The Catholic University of Korea, Catholic Institute for Applied Anatomy, Department of Anatomy, College of Medicine, Seoul, Republic of Korea (GRID:grid.411947.e) (ISNI:0000 0004 0470 4224)
2 National Forensic Service Seoul Institute, Department of Forensic Medicine Investigation, Seoul, Republic of Korea (GRID:grid.419645.b) (ISNI:0000 0004 1798 5790)
3 Incheon Catholic University Graduate School, Division in Biomedical Art, Incheon, Republic of Korea (GRID:grid.443959.6) (ISNI:0000 0004 0648 0068)
4 University of Hawaii at Manoa, Department of Anatomy, Biochemistry & Physiology, John A. Burns School of Medicine, Honolulu, USA (GRID:grid.410445.0) (ISNI:0000 0001 2188 0957)