Stan Emanuela, Enache Alexandra, Muresan Camelia-Oana, Ciocan Veronica, Ungureanu Stefania, Motofelea Alexandru Catalin, Voicu Adrian, Costachescu Dan
Department of Neuroscience, Discipline of Forensic Medicine, Bioethics, Deontology and Medical Law, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Ethics and Human Identification Research Center, Department of Neurosciences, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Diagnostics (Basel). 2024 Sep 23;14(18):2103. doi: 10.3390/diagnostics14182103.
: Bone density is affected by age- and sex-related changes in the os coxae, often known as the pelvic bone. Recent developments in computed tomography (CT) imaging have created new opportunities for quantitative analysis, notably regarding Hounsfield Units (HU). : The study aims to investigate the possibility of using HU obtained from os coxae CT scans to estimate age in the Romanian population. : A statistical analysis was conducted on a sample of 80 pelvic CT scans in order to find any significant correlation between age, sex, and variation in density among the different pelvic bone locations of interest. According to the research, pelvic radiodensity measurements varied significantly between male and female participants, with men having greater levels. This technique may be valuable for determining an individual's sex precisely, as evidenced by the substantial association found between HU levels and changes in bone density associated with sex. : The analysis of variance underscores that HU values exhibit a significant negative relationship with radiodensity, with a general trend of decreasing HU with increasing age. The equation derived from the ordinary least squares OLS regression analysis can be used to estimate the age of individuals in the Romanian population based on their HU values at specific pelvic sites. : In conclusion, the application of HU analysis in CT imaging of the coxae represents a non-invasive and potentially reliable method for age and sex estimation, and a promising avenue in the field of human identification.
骨密度受髋骨（通常称为骨盆骨）中与年龄和性别相关的变化影响。计算机断层扫描（CT）成像的最新进展为定量分析创造了新机会，特别是关于亨氏单位（HU）。
本研究旨在探讨利用髋骨CT扫描获得的HU来估计罗马尼亚人群年龄的可能性。
对80例骨盆CT扫描样本进行了统计分析，以找出年龄、性别以及不同感兴趣骨盆骨位置的密度变化之间的任何显著相关性。根据研究，男性和女性参与者的骨盆放射密度测量值差异显著，男性水平更高。HU水平与性别相关的骨密度变化之间存在显著关联，这证明该技术对于精确确定个体性别可能有价值。
方差分析强调，HU值与放射密度呈现显著负相关，一般趋势是随着年龄增长HU降低。通过普通最小二乘法（OLS）回归分析得出的方程可用于根据罗马尼亚人群在特定骨盆部位的HU值估计其年龄。
总之，HU分析在髋骨CT成像中的应用代表了一种用于年龄和性别估计的非侵入性且可能可靠的方法，是人类识别领域的一个有前景的途径。
