Discriminant Function Analysis of Foramen Magnum Variables in South Indian Population: A Study of Computerised Tomographic Images.

Anatomy research international Pub Date : 2018-09-26 eCollection Date: 2018-01-01 DOI:10.1155/2018/2056291
S P Vinutha, V Suresh, R Shubha
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引用次数: 12

Abstract

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.

Abstract Image

Abstract Image

南印度人口大孔变量的判别函数分析:计算机层析成像的研究。
背景和目的:枕骨大孔作为颅骨和脊柱之间的过渡区域,由于其与大脑和脊髓等重要结构密切相关,因此具有重要的标志作用。枕骨大孔的形态和大小在评估颅-椎关系中起着重要的作用。本研究的目的是在颅脑CT扫描中找出枕骨大孔的形状和尺寸。采用判别函数分析对各变量进行评价。材料和方法:研究样本包括200个CT扫描(110个男性和90个女性)的南印度血统。将枕骨枕骨大孔的形状分为椭圆形、蛋形、圆形、四边形、五边形、六边形、不规则(A)、不规则(B) 8种类型,并对参数进行详细记录,性别比较采用Student’st检验进行统计分析,P≤0.05认为差异有统计学意义。为了确定研究参数之间的关系,计算Pearson相关系数。结果:根据枕骨大孔的形态,将枕骨大孔分为8种类型。最常见的是椭圆形,最不常见的是五边形。男性的前后径、横径、围度和面积均明显大于女性(p结论:在涉及颅椎交界处的手术中,应考虑FM的形状和尺寸等解剖学参数。这些也可以用于法医和人类学调查未知的个人,以确定性别,种族等。多变量分析是目前已知的确定头盖骨性别的最佳方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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