Piriform apertures from skulls in the Bass Collection at the University of Tennessee were examined. The morphology of the perform aperture from digital images was captured using Adobe Measuring Tool 9.0 and data analyzed with SPSS 17.0. Twenty-four linear measurements from a central point of the aperture as well as the perimeter were evaluated to quantify a difference between Black and White populations. The statistical analyses employed Discriminate Functional Analysis followed by Stepwise analysis. Discriminate functions were generated to predict to which group a skull belonged. A discriminate function produced an accuracy of 77.4%.Step-wise discriminate function analysis, using only three variables, produced an accuracy of 79.0%.
An adult human skull was discovered in a college osteological collection presenting with two Inca bones. Inca bones or interparietal (supernumerary) bones are rarely seen among dry human skulls. Their frequency of presentation is much less than that of sutural or Wormian bones. Inca bones or interparietal (supernumerary) bones are accepted as normal variants most often found in the occipitoparietal region of the skull. Their characteristic shape, a triangle, resembles a monument design of the Inca tribe of South America and Latin America. The significance of the presence of these variants is that Inca bones or interparietal bones may be mistaken for a skull fracture. They may also be very useful in forensic identification of an unknown individual.
A quantitative method for assessing the morphology of the piriform aperture was developed in order to investigate ancestry of an unknown skull. Discriminant function analysis predicted an unknown specimen's race with an accuracy of 77.4%. Step‐wise analysis produced an accuracy of 79.0%. The objective of this study was to quantitatively assess piriform aperture morphology as a tool for discriminating ancestry between Black and White populations. Twenty‐four linear measurements as well as the perimeter of the anterior nasal aperture were taken from digital images using the Adobe Acrobat Pro 9.0 Measurement Tool. Multivariate analysis, specifically Discriminant Function Analysis (DFA), was used to analyze the data. Eleven of the twenty‐five variables measured in this study proved to be racially dimorphic. A multivariate discriminant function produced a useful equation to predict an unknown specimen's race based on the discriminate function score with an accuracy of 77.4%. Step‐wise discriminant function analysis, using only the three most significant variables, produced an accuracy of 79.0%. Where the sex was known to be male, DFA generated a function using only one variable (105° from centroid) to accurately discriminate between the two races. The results of this study bear out the hypothesis that one can determine the race or ancestry of an unknown skull, using the Adobe Acrobat Pro 9.0 Measurement Tool.This research was funded by Palmer College. This investigation was conducted in a facility constructed with support from Research Facilities Improvement Program Grant Number C06 RR15433–01 from the National Center for Research Resources, National Institute of Health.
A routine dissection of an 89-year-old female cadaver who had died of cardiopulmonary arrest revealed a unique case of hyperostosis frontalis interna (HFI). Multiple layers of spongy bone growth deep to the internal table were coupled with asymmetrical nodular growths. Slight superior sagittal sinus growth was also noted, which is atypical of this condition. Additionally, this cadaver represents one of the rarer and more severe forms of HFI, class C. A clear consensus on whether HFI presents a clinical risk has not been reached. We hope that this report on a unique manifestation of HFI will help clinicians in evaluating patients with this condition.
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