Estimating Sex from second and seventh cervical vertebras in Iranian adult population using Computed Tomography scan images
Abstract Objectives The study aimed to estimating the sex from several metric dimensions of second and seventh cervical vertebras using Computed Tomography (CT) scan images of a series of Iranian adult populations. In this study, sexual dimorphism of 15 indexes of second cervical vertebra and 10 indexes of the seventh cervical vertebra were investigated. Indexes were obtained from CT scan images of 70 patients who underwent CT scan imaging for other indications.Results Among measured dimensions of the second vertebra, 9 were associated with sex. Of these indexes, Maximum width of the superior Facet and Maximum height of axis were independent predictors of sex with correct sex classification of 81.4% when used in combination. Four of 10 seventh vertebra’s indexes were associated with sex: Length of superior facets, Length of the inferior surface of the vertebral body, Width of the inferior surface of the vertebral body, and the Length of spinous process. Length of the inferior surface of the vertebral body and the Length of spinous process were independent sex predictors and together provided sex classification accuracy of 78.6%. We found considerable accuracy in sex classification by using metric dimensions of second and seventh cervical vertebras in the Iranian adult population.