Sex prediction by metric analysis of piriform aperture and foramen magnum in an eastern Indian population using discriminant function analysis

2020 ◽  
Vol 2 (5) ◽  
pp. 267
Author(s):  
Saikat Das ◽  
Soumeek Chowdhuri ◽  
Somnath Maity
2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
S. P. Vinutha ◽  
V. Suresh ◽  
R. Shubha

Background and Objectives. The foramen magnum as a transition area between skull and spine plays an important role as a landmark, because of its close relationship to vital structures such as the brain and spinal cord. Configuration and size of the foramen magnum play an important role for assessing craniovertebral relations. The objectives of the present study are to find out shape and dimensions of foramen magnum in cranial CT scans. All the variables were evaluated by using discriminant function analysis. Materials and Methods. The study sample comprised 200 CT scans (110 males and 90 females) of south Indian origin. The shapes of the foramen magnum were classified into 8 types: oval, egg, round, tetragonal, pentagonal, hexagonal, irregular (A), and irregular (B). The parameters were noted meticulously and the statistical analysis for sex comparison was made by Student’s t-test and was considered significant whenever P≤0.05. To determine the relationships between the studied parameters, Pearson correlation coefficients were calculated. Results. The foramen magnum was classified into 8 types based on shape. Commonest was oval and pentagonal was the least common type. The anteroposterior diameter, transverse diameter, circumference, and area were significantly greater in males than in females (P<0.001). The mean FM index of male CT scans was 85.01 ± 8.67, whereas in case of female CT scans, it was 83.17 ± 7.78. With all the variables in consideration, overall 65% of cranial CT scans were sexed correctly by using multivariate analysis. Conclusion. Several anatomic parameters such as shape and dimensions of FM should be taken into consideration during surgery involving the craniovertebral junction. Also these can be used during forensic and anthropological investigation of unknown individuals for determining gender, ethnicity, and so on. The multivariate analysis is by far the best method for determination of sex of cranium with available resources.


2020 ◽  
Vol 83 (4) ◽  
pp. 349-361
Author(s):  
Maninder Kaur ◽  
Mankamal Kaur ◽  
Jigmath Yangchan

AbstractThe present study attempted to identify sex of an individual using a fingerprint ridge density at three topological areas in the North Indian population. The study population consisted of 134 males and 136 females aged 17 to 25 years (mean age 19.34±2.12). Ridge density (RD) at radial, ulnar and proximal topological areas of the distal phalanges were determined on the surface area of 25mm2. Fingerprint ridge density in a defined area was significantly higher among females as compared to their male counterparts at radial, ulnar and proximal topological areas for both hands. Sexual dimorphic ratio also supported this trend for all three counting areas in right and left hands. Univariate discriminant function analysis explained that the left 2 radial (L2R) (88.1%) had the highest percentage of accuracy for sex identification, followed by the left 3 ulnar (L3U) (82.1%) and the right 2 ulnar (R2U) (81.6%). Multivariate discriminant function analysis showed that the radial topological area of the left hand was the best predictor of sex with the overall accuracy of 84.4%with following discriminant function equation −8.263 − 0.236(L1R) + + 0.321(L2R) + 0.269(L3R) + 0.268(L4R) − 0.067(L5R).It can be inferred that ridge density in the radial topological area of left hand is the most reliable tool for identifying the sex of an individual.


2015 ◽  
Vol 7 (1) ◽  
pp. 37 ◽  
Author(s):  
KanchankumarP Wankhede ◽  
RajeshV Bardale ◽  
GunwantR Chaudhari ◽  
NamdeoY Kamdi

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