人外耳形态学和形态计量学及其在性别测定和身高估计中的意义——一项观察研究。

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2025-05-15 eCollection Date: 2025-01-01 DOI:10.12688/f1000research.160629.2
Shwetha Acharya, Chandni Gupta, Vikram Palimar, Sneha Guruprasad Kalthur, Purnima Adhikari
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引用次数: 0

摘要

背景:每个人的耳朵都是独一无二的,耳印就像指纹一样,是离散的,足以区分同卵双胞胎。因此,外耳可以用来识别活着和死去的人。因此,本研究旨在利用各种形态学参数和形态学特征来评估外耳的高度和性别二态性,以供法医鉴定。方法:本研究共纳入40名受试者(男20名,女20名)。参与者的年龄在18-25岁之间。测量时,受试者的头部在法兰克福水平面上。测量耳长、耳宽、小叶高、耳宽、耳膜长、耳膜长、形态耳长、螺旋乳突远端长度、耳垂厚度、耳廓倾角、反螺旋脱角、耳廓乳突角、耳廓指数、小叶指数、耳廓指数、耳附体长度指数、耳廓碗深度等18项指标,观察耳廓形状、耳垂、达尔文结节、耳屏等形态学特征。观察左右耳耳垂的附著及耳螺旋的形态。使用数字游标卡尺测量所有参数。这些角度是用测角仪测量的。采用Shapiro-Wilk检验验证正态分布。对于正态分布参数,采用独立t检验,对于非正态分布参数,采用Mann-Whitney U检验进行性别比较。为了比较左右参数,采用独立t检验(对于正态分布数据)和Mann-Whitney U检验(对于非正态分布数据)。性别测定和身高估计采用logistic回归分析。结果:男性和女性均以卵形耳垂多见,耳垂游离。男性耳垂最常见的形状是弓形,而女性则是三角形。在男性和女性中,螺旋最常见的形式是凹边缘。在雄性中,耳屏最常见的形状是圆形的,而在雌性中,耳屏是长的。在男性和女性中,达尔文结节最常见的形状都变大了。右脑叶宽度显示出完美的分离,表明其作为一个非常可靠的预测器的潜力。在雌性中,与身高的相关性最强的是两侧耳倾角。结论:这项研究的结果可以帮助法医人类学家通过不同的耳朵测量来识别一个人的性别和身材。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morphological And Morphometric analysis of Human External Ear with Its Implications in Sex and Stature Estimation -- A Preliminary Observational Study.

Background: The human ear is unique to individuals, and ear prints, like fingerprints, are discrete enough to distinguish identical twins. Thus, this study aimed to estimate the stature and sex using various morphometric parameters and morphological features of the external ear for forensic identification.

Methods: This was a cross-sectional observational study involving 40 participants recruited using simple random sampling technique. Eighteen measurements were taken, and various morphological features were noted for both the right and left ears. A digital Vernier caliper was used to measure all linear parameters. The angles were measured using a goniometer. Normal distribution was verified using the Shapiro-Wilk test. For normally distributed parameters, an independent t-test was used, and for non-normally distributed parameters, the Mann-Whitney U test was used to compare sexes. To compare the right and left parameters, independent t-tests (for normally distributed data) and Mann-Whitney U tests (for non-normally distributed data) were applied. Sex determination and stature estimation were performed using logistic regression analysis.

Results: In males and females, the most common shape was oval (47.5%), and the ear lobe was free (45%). When comparing the parameters of males on the right and left sides, it was noticed that only the ear inclination angle and concha mastoid angle showed significant differences (p < 0.05). It was seen that the right lobe width showed perfect separation, indicating its potential as an extremely reliable predictor of sex. It was noted that in females, the strongest correlation with height was with the ear inclination angle on both sides.

Conclusion: We can conclude from the results of this study that the right lobe width of external ear can be a reliable predictor of sex. Ear inclination angle on both sides showed strongest correlation with height. The results of this study can help forensic anthropologists identify the sex and stature of a person from various ear measurements in young South Indian adults.

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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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